6 Attribution Modeling Jobs nearby Chittoor

You are the highly motivated and strategic Senior Lead, Marketing Analytics & Strategy at Slack. Your main responsibility is to lead the global monitoring and analytical strategy for the central Marketing function. You will define the analytical roadmap, drive data-driven decision-making, and translate complex global marketing performance metrics into clear, actionable insights for worldwide and executive leadership. As the Team Lead, you will mentor a group of highly skilled Data Analysts, focusing on project prioritization, mentorship, and establishing best analytical practices for the team. Your exceptional communication and executive presentation skills will make you the primary analytical voice for global Marketing Performance. **Key Responsibilities:** - **Global Strategy & Analytics Mastery** - Define and execute the central/global Marketing Analytics strategy aligned with worldwide business objectives and measurable ROI goals. - Own the comprehensive analysis and reporting of end-to-end global marketing performance, identifying trends, anomalies, and optimization opportunities. - Lead the design and implementation of sophisticated analytical models including global marketing mix modeling, multi-touch attribution, and predictive modeling. - Proactively identify high-impact growth opportunities and risks guiding global resource allocation decisions. - **Team Leadership & Mentorship (Player-Coach)** - Act as the technical and strategic lead for the regional team of Data Analysts, overseeing project prioritization and quality control. - Mentor analysts in data storytelling, complex problem-solving, and advanced statistical techniques. - Establish reporting standards, data definitions, and documentation for the global team ensuring consistency and accuracy across all performance analyses. - **Executive Communication & Stakeholder Management** - Own the narrative and present key performance indicators, campaign results, and strategic recommendations to Executive Leadership in a clear, concise, and persuasive manner. - Develop and deliver polished, executive-level presentations that distill complex global data into easy-to-digest business actions. - Serve as the primary analytical partner for central Marketing, Finance, and Sales leaders ensuring alignment on performance definitions, goals, and strategic priorities. **Candidate Requirements and Competencies:** - **Experience & Technical Skills:** - 7+ years of experience in Marketing Analytics, Business Intelligence, or a highly quantitative field. - Expert-level proficiency in SQL and experience with Data Visualization tools (e.g., Tableau, Power BI, Looker). - Proven experience building and implementing Marketing Attribution Models and Lifetime Value calculations at an international scale. - Familiarity with cloud data warehousing solutions and statistical programming languages like Python or R. - **Communication & Leadership:** - Impeccable written and verbal communication skills for constructing compelling data narratives. - Strong ability to translate ambiguous global business problems into structured analytical plans. - Demonstrated ability to lead an analytical team in a "player-coach" capacity. *Note: Additional details of the company were not provided in the job description.*,

As a highly skilled CDP & Marketing Analytics Specialist at our digital transformation team, your primary role will involve leveraging Customer Data Platforms (CDPs) and advanced analytics to enable data-driven decision-making and hyper-personalized marketing at scale. Your responsibilities will include: - Designing and implementing end-to-end customer data ingestion strategies from various sources into a unified CDP. - Building and maintaining real-time streaming data pipelines using tools like Azure Data Factory, Databricks, Kafka, etc. - Developing composable CDPs using modern data platforms such as Snowflake and Databricks. - Deploying AI/ML-driven customer segmentation models and performing advanced analytics including CLV estimation, churn prediction, attribution analysis, sentiment analysis, and propensity modeling. - Building and operationalizing predictive models for customer service chatbots, content generation, and personalization. - Implementing real-time decisioning engines and API-based integrations with advertising platforms for dynamic campaign execution. - Collaborating with cross-functional teams including marketing, data engineering, product, and analytics for seamless operations. Qualifications required for this role: - Bachelor's or master's degree in computer science, Data Science, Marketing Analytics, or a related field. - 5+ years of experience in CDP implementation and marketing analytics. - Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP. - Exposure to MLOps practices and model monitoring pipelines. - Strong proficiency in Python, SQL, and ML frameworks. - Experience with cloud platforms and tools like Azure Data Factory, Databricks, Synapse, Snowflake. - Hands-on experience with NLP techniques and libraries. - Experience deploying GenAI applications. - Familiarity with campaign attribution models, marketing funnels, and retention strategies. - Excellent analytical, communication, and stakeholder management skills. Preferred Skills: Prior experience in B2C/D2C industries (e.g., retail, travel & hospitality, e-commerce). Additional Information: Bachelor of Computer Applications (B.C.A.). Job Types: Full-time, Permanent. Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP is mandatory. Experience in Python, SQL, and AI/ML Frameworks is required. Experience in Azure Data Factory, Databricks, Synapse, Snowflake is preferred. Experience deploying GenAI applications is essential. Experience: CDP implementation and marketing analytics: 6 years (Preferred) Work Location: In person As a highly skilled CDP & Marketing Analytics Specialist at our digital transformation team, your primary role will involve leveraging Customer Data Platforms (CDPs) and advanced analytics to enable data-driven decision-making and hyper-personalized marketing at scale. Your responsibilities will include: - Designing and implementing end-to-end customer data ingestion strategies from various sources into a unified CDP. - Building and maintaining real-time streaming data pipelines using tools like Azure Data Factory, Databricks, Kafka, etc. - Developing composable CDPs using modern data platforms such as Snowflake and Databricks. - Deploying AI/ML-driven customer segmentation models and performing advanced analytics including CLV estimation, churn prediction, attribution analysis, sentiment analysis, and propensity modeling. - Building and operationalizing predictive models for customer service chatbots, content generation, and personalization. - Implementing real-time decisioning engines and API-based integrations with advertising platforms for dynamic campaign execution. - Collaborating with cross-functional teams including marketing, data engineering, product, and analytics for seamless operations. Qualifications required for this role: - Bachelor's or master's degree in computer science, Data Science, Marketing Analytics, or a related field. - 5+ years of experience in CDP implementation and marketing analytics. - Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP. - Exposure to MLOps practices and model monitoring pipelines. - Strong proficiency in Python, SQL, and ML frameworks. - Experience with cloud platforms and tools like Azure Data Factory, Databricks, Synapse, Snowflake. - Hands-on experience with NLP techniques and libraries. - Experience deploying GenAI applications. - Familiarity with campaign attribution models, marketing funnels, and retention strategies. - Excellent analytical, communication, and stakeholder management skills. Preferred Skills: Prior experience in B2C/D2C industries (e.g., retail, travel & hospitality, e-commerce). Additional Information: Bachelor of Computer Applications (B.C.A.). Job Types: Full-time, Permanent. Experience with tools like Hightouch, Segment, mParticle, Treasure D

Role Overview: As a Web Tagging Expert specializing in Google web tagging technologies, you will play a crucial role in implementing, managing, and optimizing all tagging setups to ensure accurate data collection and actionable insights for digital marketing efforts across various platforms. Key Responsibilities: - Collaborate closely with analytics and marketing teams to provide insights derived from web tagging. - Work on the implementation of web tagging. - Implement and manage web analytics tools such as Google Analytics, Adobe Analytics, and other relevant platforms. - Develop and maintain a robust tagging strategy using tools like Google Tag Manager, Adobe Launch, or Tealium. - Ensure precise setup and configuration of analytics to capture essential data points. - Utilize advanced analytics techniques such as attribution modeling, predictive analytics, and customer lifetime value analysis. - Design and execute A/B and multivariate testing to optimize website elements and marketing campaigns. - Stay updated with the latest trends, tools, and techniques in digital analytics and data science. Qualification Required: - Minimum of 5 - 8 years of experience in web analytics and web tagging implementation, focusing on large-scale or enterprise-level websites. - Strong expertise in implementing tagging using tag management systems (TMS) like Google Tag Manager or Tealium. - Proficiency in JavaScript, HTML, CSS, and other web technologies. - Familiarity with web analytics tools such as Google Analytics, Adobe Analytics, or similar platforms. - Excellent analytical and problem-solving skills with keen attention to detail. - Strong communication and collaboration skills to work effectively with cross-functional teams. - Demonstrated ability to conduct code audits, testing, and data validation to ensure data accuracy and quality. Additional Company Details: Novartis aims to make a positive impact on people's lives by fostering a community of smart, passionate individuals. By collaborating, supporting, and inspiring each other, we strive to achieve breakthroughs that improve patients" lives. If you are ready to contribute to creating a brighter future together, join us at Novartis. For more information about Novartis and our culture, visit: [Novartis People and Culture](https://www.novartis.com/about/strategy/people-and-culture) Benefits and Rewards: Explore our handbook to discover the various ways in which Novartis supports your personal and professional growth: [Novartis Benefits and Rewards](https://www.novartis.com/careers/benefits-rewards),

In this role at Novartis, you will specialize in implementing and analyzing web analytical trends in the Pharma domain, leveraging Google Analytics 4 (GA4) and Google Tag Manager (GTM) to extract, analyze, and interpret data. Your insights and recommendations will address business challenges and optimize digital strategies effectively. Your key responsibilities will include: - Leading the implementation and configuration of GA4 data streams, events, and conversions tailored to stakeholders" unique needs. Utilize GTM for advanced tracking implementations to ensure accurate data collection and attribution modeling. - Extracting and analyzing GA4 data to uncover insights into user behavior, website performance, and campaign effectiveness. Employing advanced segmentation and cohort analysis techniques to identify trends relevant to business objectives. - Translating data findings into actionable insights and recommendations that drive business growth and optimize digital marketing strategies. Developing compelling stories through data visualization to effectively communicate insights to stakeholders. - Conducting in-depth analysis to understand and solve complex business problems within the Pharma industry. Collaborating with cross-functional teams to implement data-driven solutions and measure the impact of strategic initiatives. - Designing and developing custom reports, dashboards, and data visualizations in GA4 to monitor key performance indicators (KPIs) and track progress. Customizing reporting formats to meet the needs of different stakeholders. Qualifications required for this role: - 5-8 years of experience in digital analytics with a focus on Google Analytics implementation and customization. - University degree in Computer Science, Information Management, or significant work experience in similar subject areas. - In-depth knowledge of Google Analytics, Google Tag Manager, and related tools. - Strong analytical and problem-solving abilities, capable of deriving actionable insights from data. - Ability to understand business challenges within the Pharma domain and translate them into measurable metrics and KPIs. - Excellent verbal and written communication skills to articulate complex technical concepts and data insights clearly. - Proven ability to collaborate effectively with cross-functional teams and stakeholders to achieve common goals. - GA and GTM certifications are required for this role. If you are looking to join a community of smart, passionate people like you at Novartis, collaborating to achieve breakthroughs that change patients" lives, visit https://www.novartis.com/about/strategy/people-and-culture to create a brighter future together. Please note that the benefits and rewards offered by Novartis can be found in their handbook at https://www.novartis.com/careers/benefits-rewards.,

As a Web Tagging Expert at our company, you will play a crucial role in implementing, managing, and optimizing tagging setups to ensure accurate data collection and actionable insights for digital marketing initiatives across all platforms. Your expertise in Google Tag Manager, Google Analytics, JavaScript/DOM scraping, Google Ads conversion tracking, Python, Selenium, and Jenkins will be instrumental in driving automation for tagging-related processes. Key Responsibilities: - Collaborate with analytics and marketing teams to deliver insights derived from web tagging. - Implement and manage web tagging solutions across enterprise-level websites. - Configure and maintain web analytics tools such as Google Analytics, Adobe Analytics, and other relevant platforms. - Develop and execute a robust tagging strategy using tools like Google Tag Manager, Adobe Launch, or Tealium. - Ensure accurate setup and configuration of analytics to capture essential data points. - Apply advanced analytics techniques, including attribution modeling, predictive analytics, and customer lifetime value analysis. - Design and execute A/B and multivariate tests to optimize website elements and marketing campaigns. - Stay updated on the latest trends, tools, and techniques in digital analytics and data science. Qualifications Required: - 8-10 years of experience in web analytics and tagging implementation, preferably for large-scale or enterprise-level websites. - Strong expertise in implementing tags using Tag Management Systems (TMS) such as Google Tag Manager or Tealium. - Proficiency in JavaScript, HTML, CSS, and other web technologies. - Hands-on experience with web analytics platforms like Google Analytics, Adobe Analytics, or similar. - Solid knowledge of both server-side and client-side tagging. - Excellent analytical and problem-solving skills with strong attention to detail. - Effective communication and collaboration skills for cross-functional teamwork. - Proven ability to conduct code audits, testing, and data validation to ensure data accuracy and quality. - Proficiency in Python, Selenium, and Jenkins for automating tag auditing processes. - Ability to identify automation use cases related to tagging workflows. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Join our Novartis Network to stay connected and learn about suitable career opportunities as soon as they arise.,

As a Digital Analytics Specialist at Novartis Healthcare Private Limited, your role involves specialized implementation and analysis of web analytical trends in the Pharma domain. You will leverage Google Analytics 4 (GA4) and Google Tag Manager (GTM) to extract, analyze, and interpret data, providing strategic insights and actionable recommendations to address business challenges and optimize digital strategies. **Key Responsibilities:** - Lead the implementation and configuration of GA4 data streams, events, and conversions tailored to stakeholder needs - Utilize GTM for advanced tracking implementations to ensure accurate data collection and attribution modeling - Extract and analyze GA4 data to uncover insights into user behavior, website performance, and campaign effectiveness - Develop compelling stories through data visualization and narrative-building to communicate insights effectively to stakeholders - Conduct in-depth analysis to understand and solve complex business problems within the Pharma domain - Design and develop custom reports, dashboards, and data visualizations in GA4 to monitor KPIs and track progress - Maintain GA and GTM certifications to stay updated with the latest features and best practices in digital analytics **Qualifications Required:** - 5-8 years of experience in digital analytics with a focus on Google Analytics implementation and customization - University degree in Computer Science, Information Management, or significant work experience in related subject areas - Strong analytical and problem-solving abilities to derive actionable insights from data - Ability to understand business challenges within the Pharma domain and translate them into measurable metrics and KPIs - Excellent verbal and written communication skills to articulate complex technical concepts and data insights clearly - Proven ability to collaborate effectively with cross-functional teams and stakeholders to achieve common goals - GA and GTM certifications are required **Additional Details:** Novartis is committed to helping people with diseases and their families by fostering a community of smart, passionate individuals. They aim to achieve breakthroughs that positively impact patients' lives by collaborating, supporting, and inspiring each other. Novartis encourages individuals to join their network to stay connected and explore suitable career opportunities. Additionally, Novartis provides benefits and rewards to support personal and professional growth. If you are ready to create a brighter future and make a difference in the Pharma domain, consider joining Novartis Healthcare Private Limited in Hyderabad, India. Novartis is dedicated to building an outstanding, inclusive work environment that reflects the diversity of the patients and communities they serve. If you require accommodation due to a medical condition or disability during the recruitment process, please reach out to [email protected] with your request and contact information. Are you excited to contribute to innovative solutions and make an impact in the healthcare industry Join Novartis and be part of a team that is committed to changing patients' lives through collaborative efforts and breakthrough advancements. As a Digital Analytics Specialist at Novartis Healthcare Private Limited, your role involves specialized implementation and analysis of web analytical trends in the Pharma domain. You will leverage Google Analytics 4 (GA4) and Google Tag Manager (GTM) to extract, analyze, and interpret data, providing strategic insights and actionable recommendations to address business challenges and optimize digital strategies. **Key Responsibilities:** - Lead the implementation and configuration of GA4 data streams, events, and conversions tailored to stakeholder needs - Utilize GTM for advanced tracking implementations to ensure accurate data collection and attribution modeling - Extract and analyze GA4 data to uncover insights into user behavior, website performance, and campaign effectiveness - Develop compelling stories through data visualization and narrative-building to communicate insights effectively to stakeholders - Conduct in-depth analysis to understand and solve complex business problems within the Pharma domain - Design and develop custom reports, dashboards, and data visualizations in GA4 to monitor KPIs and track progress - Maintain GA and GTM certifications to stay updated with the latest features and best practices in digital analytics **Qualifications Required:** - 5-8 years of experience in digital analytics with a focus on Google Analytics implementation and customization - University degree in Computer Science, Information Management, or significant work experience in related subject areas - Strong analytical and problem-solving abilities to derive actionable insights from data - Ability to understand business challenges within the Pharma domain and translate them into measurable metrics and KPIs - Excellent ve

Company Overview:   Gallagher & Mohan is a distinguished firm specializing in delivering world-class financial analysis, marketing expertise, and accounting support tailored to the real estate sector. We serve an exclusive clientele of private equity investors, developers, fund managers, brokers, and other industry leaders. Renowned for our commitment to excellence, clear communication, and strong work ethic, we seamlessly integrate with our clients teams to create long-term value. Our portfolio spans diverse real estate transactionsfrom multifamily apartment communities to large-scale office towers across the United States and European markets, with deal sizes typically ranging from $25 million to over $500 million USD.   Role Overview:   As a Digital Marketing Performance Analyst at Gallagher & Mohan, you will be responsible for managing day-to-day marketing analytics across our portfolio and evaluating the performance of multiple digital marketing channels. Your role will focus on identifying key insights, optimizing marketing spend, and driving data-backed recommendations to enhance campaign performance across platforms such as Google Ads, LinkedIn, and Meta. This is a strategic, hands-on role that combines data analysis, digital marketing expertise, and business acumen to improve ROI and channel efficiency.   Roles & Responsibilities:   Marketing Analytics Management: Oversee day-to-day analytics across all marketing channels, ensuring accurate tracking and reporting of campaign performance metrics. Channel Evaluation: Evaluate and compare the effectiveness of different marketing channels (Google Ads, LinkedIn, Meta, etc.), identifying optimization opportunities to improve ROI. Performance Optimization: Develop data-driven strategies to optimize campaigns, audience targeting, ad spend allocation, and conversion rates. Dashboarding & Reporting: Build and maintain dashboards and regular reports to communicate performance trends and actionable insights to stakeholders. Cross-Functional Collaboration: Partner with internal teams to translate data insights into marketing strategies and creative optimizations. API & Data Integration: Work with APIs and marketing automation tools to integrate and streamline data flows across platforms for enhanced reporting accuracy. Continuous Improvement: Stay updated with evolving marketing trends, tools, and best practices to continuously improve data accuracy and channel performance.   What We Are Looking For: Requirements Skills, Knowledge, and Abilities:   Educational Background: Bachelors degree in Marketing, Business Analytics, Economics, or a related field. Experience: 25 years of experience in marketing analytics, preferably at a marketing agency managing multiple client portfolios. Technical Skills: Strong proficiency in Google Ads, Google Analytics, Meta Ads Manager, and data visualization/reporting tools (such as Data Studio, Power BI, or Tableau). API & Data Integration: Experience with API-based data extraction and integration for marketing performance reporting. Analytical Expertise: Deep understanding of marketing KPIs, attribution modeling, and performance optimization strategies. Communication: Strong communication skills with the ability to explain complex analytics insights to non-technical stakeholders. Problem Solving: Analytical mindset with a proactive approach to identifying opportunities and improving campaign efficiency. Preferred Experience: Exposure to US-based clients or international digital marketing operations and Real estate knowledge is a plus.   Desired Qualifications:   Certifications: Google Ads, Google Analytics, or Meta Blueprint certifications are advantageous. Software Knowledge: Experience with CRM and marketing automation platforms such as HubSpot, Salesforce, or similar tools. Advanced Analytics: Familiarity with SQL, Python, or R for marketing data analysis will be considered an asset.   Job Details:   Title: Digital Marketing Performance Analyst Department: Financial Analyst Employment Type: Full-Time, Permanent Location: Remote (New Delhi) Shift Timings: EST/PST (US Time Zone)   Join Gallagher & Mohan to drive data-backed marketing decisions, optimize performance across digital channels, and help shape the marketing strategy for our global portfolio of clients.

As a Data Scientist focused on Marketing Analytics at QuillBot, you will play a crucial role in elevating decision-making for the Marketing organization. Your responsibilities will include: - Supporting in building, automating, and maintaining self-serve dashboards in Amplitude and Chargebee covering acquisition, activation, engagement, retention, and revenue metrics. - Auditing, refining, and evolving the current single-touch attribution model into a robust multi-touch attribution framework spanning paid media, influencers, organic social, SEO, and content touchpoints. - Designing and executing incrementality tests (geosplit, holdout, PSA, audience suppression) to quantify the true lift of paid campaigns, influencer activations, and product campaigns. - Developing statistically sound methodologies such as propensity matching, causal impact, and Bayesian hierarchical modeling to measure the business impact of influencer programs and organic social initiatives. - Collaborating with channel owners to translate insights into channel mix, budget allocation, and creative optimizations that drive efficient MAU, installs, and revenue growth. - Conducting deep-dive analyses on customer cohorts, funnel friction points, and landing experiences to inform growth hypotheses. - Collaborating with Data Engineering to improve data pipelines, tracking accuracy, and event instrumentation in Amplitude. - Communicating complex analyses in clear, compelling narratives to executives and democratizing insights across Marketing, Product, and RevOps teams. Qualifications required for this role include: - 5+ years of experience in Marketing Analytics, Growth Data Science, or a similar role at a high-growth consumer company. - Hands-on expertise with Amplitude and Chargebee is a big plus. - Advanced SQL and data-wrangling skills; proficiency in Python or R for statistical modeling and experiment design. - Deep experience building and validating attribution models and translating results into actionable recommendations. - Strong background in experimentation and incrementality testing methodologies. - Demonstrated ability to quantify influencer and organic social impact using reach, engagement, and downstream revenue signals. - Excellent storytelling and visualization skills with the ability to tailor insights to technical and non-technical stakeholders. - Bachelor's or Master's in Statistics, Economics, Computer Science, or a related field (or equivalent experience). QuillBot offers a range of benefits and perks including a competitive salary, medical coverage, life and accidental insurance, vacation & leaves of absence, developmental opportunities, maternity & parental leave, hybrid & remote working model, tech & WFH stipends, employee referral program, and premium access to QuillBot. This role is eligible for hire in India. As a Data Scientist focused on Marketing Analytics at QuillBot, you will play a crucial role in elevating decision-making for the Marketing organization. Your responsibilities will include: - Supporting in building, automating, and maintaining self-serve dashboards in Amplitude and Chargebee covering acquisition, activation, engagement, retention, and revenue metrics. - Auditing, refining, and evolving the current single-touch attribution model into a robust multi-touch attribution framework spanning paid media, influencers, organic social, SEO, and content touchpoints. - Designing and executing incrementality tests (geosplit, holdout, PSA, audience suppression) to quantify the true lift of paid campaigns, influencer activations, and product campaigns. - Developing statistically sound methodologies such as propensity matching, causal impact, and Bayesian hierarchical modeling to measure the business impact of influencer programs and organic social initiatives. - Collaborating with channel owners to translate insights into channel mix, budget allocation, and creative optimizations that drive efficient MAU, installs, and revenue growth. - Conducting deep-dive analyses on customer cohorts, funnel friction points, and landing experiences to inform growth hypotheses. - Collaborating with Data Engineering to improve data pipelines, tracking accuracy, and event instrumentation in Amplitude. - Communicating complex analyses in clear, compelling narratives to executives and democratizing insights across Marketing, Product, and RevOps teams. Qualifications required for this role include: - 5+ years of experience in Marketing Analytics, Growth Data Science, or a similar role at a high-growth consumer company. - Hands-on expertise with Amplitude and Chargebee is a big plus. - Advanced SQL and data-wrangling skills; proficiency in Python or R for statistical modeling and experiment design. - Deep experience building and validating attribution models and translating results into actionable recommendations. - Strong background in experimentation and incrementality testing methodologies. - Demonstrated ability to quantify

As the Marketing Operations & Technology Manager at our company, your primary responsibility will involve optimizing marketing processes, managing technology platforms, and utilizing data-driven decision-making to enhance campaign performance and marketing effectiveness. You will play a crucial role in enhancing efficiency, implementing automation, and ensuring seamless integration between various marketing technologies and data ecosystems such as HubSpot, Salesforce, BigQuery, Google Analytics, and other MarTech tools to drive marketing success. Key Responsibilities: - Serve as the HubSpot owner and administrator, ensuring proper configuration, integration, and optimization for marketing campaigns. - Manage HubSpot workflows, lead scoring models, and automation sequences to improve lead quality and campaign efficiency. - Ensure seamless integration between HubSpot and CRM (Salesforce preferred), as well as other marketing technology tools. - Develop and enforce best practices for lead management, segmentation, and reporting within HubSpot. - Train and support marketing teams on HubSpot best practices, analytics, and automation capabilities. - Utilize BigQuery to analyze large-scale marketing data sets and generate actionable insights. - Build dashboards and reports in Google Looker Studio, Tableau, or Power BI to track marketing performance and ROI. - Implement and refine marketing attribution models to measure the effectiveness of marketing efforts and optimize budget allocation. - Track, analyze, and report on key marketing performance metrics, including lead generation, pipeline contribution, and campaign ROI. - Work closely with stakeholders to identify data gaps, improve reporting accuracy, and drive data-driven marketing strategies. - Own and optimize marketing automation processes, ensuring efficiency, scalability, and lead conversion. - Maintain data hygiene, segmentation, and enrichment to improve targeting and personalization. - Evaluate and implement new marketing technologies to improve campaign execution and measurement. - Establish and document best practices for marketing operations, automation, and reporting. Qualifications & Experience: - 7+ years of experience in Marketing Operations, Marketing Technology, or related roles. - Strong expertise in HubSpot (certifications preferred) and marketing automation best practices. - Experience with BigQuery for querying and analyzing large marketing data sets. - Proficiency in data visualization tools (Google Looker Studio, Tableau, Power BI) for marketing reporting and insights. - Strong knowledge of CRM systems (Salesforce preferred) and marketing technology integrations. - Experience with marketing performance metrics, attribution modeling, and lead lifecycle management. - Strong problem-solving and project management skills to drive operational efficiency. - Familiarity with data privacy laws (GDPR, CCPA) and compliance requirements in marketing operations. Preferred Skills: - Experience with Customer Data Platforms (CDPs) or Data Management Platforms (DMPs). - Familiarity with A/B testing, conversion rate optimization, and web analytics. - SQL, Python, or other data analysis skills are a plus. - HubSpot, Google BigQuery, or Salesforce certifications are a plus. Join us for the opportunity to own and optimize HubSpot, work at the intersection of marketing, technology, and data analytics, and experience a fast-paced, collaborative environment focused on innovation and efficiency. You will have hands-on access to cutting-edge MarTech tools and data analytics platforms, along with career growth and leadership opportunities in Marketing Operations and Analytics.,

Role Overview: As a Modeling Analytics Senior Associate in the Credit Card Loss Forecasting within the Consumer & Business Banking (CCB) Risk Management group, you will lead credit forecasting for the $220B credit card portfolio. Your role will involve utilizing strong data analytical knowledge and skills to generate short- and long-term loss forecasts and conduct attribution analysis. You will be responsible for all aspects of loss forecasting, including CCAR, CECL, Budgets, and Risk Appetite. This position presents an exciting opportunity to contribute to high-impact strategy initiatives in the financial services industry. Your success in this role will depend on your creative thinking, problem-solving abilities, self-motivation, confidence, and readiness to thrive in a fast-paced, energetic environment. Key Responsibilities: - Support the end-to-end completion of annual CCAR and quarterly Risk Appetite processes - Assist in developing analytical tools for risk assessment and stress credit evaluations to facilitate annual stress testing, the Risk Appetite framework, and strategy integrations - Collaborate with the central loss forecasting team to manage process timelines and provide necessary information - Work closely with Finance, Collections, and Risk Strategy teams to comprehend changes in the portfolio or strategies and apply necessary overlays - Partner with the Risk Modeling team to ensure the model functions effectively and provide regular inputs for enhancement - Create and deliver forecasts to senior management with a clear storyline and data support - Improve consistency and efficiency across existing processes and reporting to align with evolving business needs - Demonstrate self-motivation and the ability to work on multiple projects with limited guidance - Contribute to establishing best-in-class documentation and operational risk and audit controls related to the CCAR and Risk Appetite Process Qualification Required: - Bachelor's degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent work/training; Advanced degree preferred - 6+ years of experience in Credit Risk Management, Statistical Modeling, Marketing Analytics, or Consulting - Proficiency in Python, SAS, or SQL is essential - Strong analytical, interpretive, and problem-solving skills with the ability to analyze large amounts of data and assess its impact on operational and financial areas - Excellent oral and written communication and presentation skills Additional Company Details: The job emphasizes the importance of having prior exposure to credit forecasting or underwriting of unsecured lending products like credit cards, personal loans, or BNPL. It also values familiarity with automation and dashboard creation, strong P&L knowledge, and an understanding of profitability drivers.,

In this role as a Manager of Customer & Marketing Analytics, you will have the opportunity to work closely with clients holding marketing & customer roles at Fortune 100 Retailers. Your primary responsibility will be to collaborate with stakeholders across the organization to gather requirements and comprehend the underlying business problems, acting as the liaison between business needs and analytical solutions. Furthermore, you will collaboratively work with leadership and subject matter experts to devise innovative solutions for business challenges, leveraging your understanding of retail data and analytics to drive decision-making. Your expertise in various data types such as Orders, Merchandising, Customer Data, Click Stream (Digital), Marketing, and Promotions Data will be crucial in providing effective solutions. Additionally, you will utilize advanced analytics and machine learning techniques like segmentation/clustering, recommendation engines, propensity models, and forecasting to enhance growth throughout the customer lifecycle. Your involvement in Lead CXM engagements will strengthen delivery by creating scalable & reusable assets, training analysts, and establishing a foundation. Furthermore, you will play a key role in opportunity identification, POV creation, and proposal development for clients. Applying Agile methods to efficiently manage analytics projects will be essential in ensuring quick value delivery. Leading and mentoring a team of data analysts and data engineers to foster innovation and excellence will also be a significant aspect of your role. Qualifications Required: - 8-14 years of professional experience in Analytics, showcasing expertise in retail, marketing, and customer analytics projects. - Demonstrated capability in machine learning domains such as regression, classification, and unsupervised learning. - Experience in marketing analytics, including evaluating campaign effectiveness, test and learn, AB testing, market mix modeling, and multi-touch attribution. - Proficiency in building customer segments, Propensity Models, CLTV Models, Recommender system, etc. - Experience working on Data Products and developing Retail Data Models, Customer Data Models, Promotions Data Models, etc. - Advanced programming skills in SQL, Python, and PySpark, with the ability to lead and guide teams. - Familiarity with platforms like GCP, Azure, AWS, Databricks, Snowflake, etc. - Knowledge of data visualization tools such as Tableau and PowerBI to create insightful visual reports and dashboards. - Exceptional problem-solving, organizational, and project management capabilities to navigate complex projects effectively, with at least 5 years of team management experience. - Leadership experience with a proven track record of mentoring and developing high-performing teams. - Effective communication skills, adept at presenting complex insights to stakeholders in a clear and impactful manner. In this role as a Manager of Customer & Marketing Analytics, you will have the opportunity to work closely with clients holding marketing & customer roles at Fortune 100 Retailers. Your primary responsibility will be to collaborate with stakeholders across the organization to gather requirements and comprehend the underlying business problems, acting as the liaison between business needs and analytical solutions. Furthermore, you will collaboratively work with leadership and subject matter experts to devise innovative solutions for business challenges, leveraging your understanding of retail data and analytics to drive decision-making. Your expertise in various data types such as Orders, Merchandising, Customer Data, Click Stream (Digital), Marketing, and Promotions Data will be crucial in providing effective solutions. Additionally, you will utilize advanced analytics and machine learning techniques like segmentation/clustering, recommendation engines, propensity models, and forecasting to enhance growth throughout the customer lifecycle. Your involvement in Lead CXM engagements will strengthen delivery by creating scalable & reusable assets, training analysts, and establishing a foundation. Furthermore, you will play a key role in opportunity identification, POV creation, and proposal development for clients. Applying Agile methods to efficiently manage analytics projects will be essential in ensuring quick value delivery. Leading and mentoring a team of data analysts and data engineers to foster innovation and excellence will also be a significant aspect of your role. Qualifications Required: - 8-14 years of professional experience in Analytics, showcasing expertise in retail, marketing, and customer analytics projects. - Demonstrated capability in machine learning domains such as regression, classification, and unsupervised learning. - Experience in marketing analytics, including evaluating campaign effectiveness, test and learn, AB testing, market mix modeling, and multi-touch attribution. - Proficienc

As a Senior Product Data Analyst at Blackhawk Network, you will play a critical role in driving the analytics strategy for the Online Commerce Product Line. Your responsibilities will include defining the analytics roadmap, implementing and reporting analytics data, generating insights for optimization, and collaborating with a variety of stakeholders to inform product and business decisions. Key Responsibilities: - Define and own the product analytics roadmap for BHN Online Commerce. - Partner with product managers to brainstorm, research, build hypotheses, and report insights for product decisions. - Lead the instrumentation and ingestion of analytics tags along user journeys. - Debug and validate analytics implementation and data flows. - Create dashboards for new features, experiments, A/B tests, and existing functional areas. - Deliver regular front-end analytics reports to wider stakeholder groups. - Generate insights to identify customer journey gaps, opportunities, and areas for optimization. - Conduct attribution modeling, path analysis, cohort analysis, and CRO experiments to enhance conversion and engagement. - Translate complex data into clear, actionable insights for business and product teams. - Work closely with cross-functional teams to align on KPIs and business outcomes. - Collaborate with data scientists and engineers to improve data pipelines and models. - Present findings and recommendations to technical and non-technical stakeholders effectively. Qualifications: - 5+ years of experience in digital analytics and product data analysis. - Strong expertise in front-end analytics platforms such as Google Analytics (GA4), Adobe Analytics (Omniture), and Adobe suite. - Proficiency in SQL/MySQL with advanced query writing abilities. - Experience with tag management systems like Google Tag Manager and Segment.io. - Ability to design, run, and analyze A/B tests and CRO experiments using tools like VWO, Adobe Target, and Google Optimize. - Strong data visualization skills with Tableau, Looker, Power BI, and Data Studio. - Understanding of customer journey mapping, funnel analysis, campaign ROI tracking, segmentation, and attribution models. - BE/MBA degree preferred. Soft Skills & Core Competencies: - Strong communication and storytelling skills to simplify complex analysis. - Proactive problem solver with a solution-oriented approach. - Excellent stakeholder management and interpersonal skills. - Strong attention to detail with a commitment to data accuracy. - Experience working in global, agile environments with cross-functional teams. Bonus / Nice-to-Have Skills: - Knowledge of JavaScript/DOM debugging for analytics implementation. - Familiarity with server-side tracking, first-party data strategies, and privacy compliance. - Experience with eCommerce platforms and user journey optimization. In this role, you are expected to demonstrate proactiveness, accountability, and a focus on delivering high-quality, well-structured insights and outputs. Timely responses and effective communication across channels will be essential for success in this position.,

As a highly skilled Digital Marketing Manager at Langoor Marketing Transformation in Bangalore, your role involves leading and scaling the SEO and paid marketing efforts. Your passion for optimizing ad performance and enhancing organic search visibility will be crucial for this position. **Key Responsibilities:** - Plan and optimize campaigns across Google Ads (Search, Display, YouTube) and Meta (Facebook/Instagram). - Manage campaign budgets to ensure top-notch ROAS. - Set up remarketing and funnel-based targeting strategies. - Collaborate with creative/content teams for compelling ad copies and visuals. - Run A/B tests on landing pages and creatives to boost conversions. - Own and execute the on-page and off-page SEO strategy. - Conduct in-depth keyword research, technical audits, and competitor analysis. - Work with dev teams to implement SEO fixes and enhancements. - Track performance using tools like Google Search Console, SEMrush, Ahrefs, etc. - Use GA4, Google Tag Manager, Looker Studio, and more to track performance. - Create insightful reports and dashboards to guide business decisions. - Assist with attribution modeling and marketing automation efforts. **Qualifications Required:** - 4-7 years of experience in digital marketing (SEO + performance marketing). - Proven success managing high-budget ad campaigns. - Hands-on experience with tools like Google Ads, Meta Ads, GA4, SEMrush, Ahrefs, and others. - Strong analytical and communication skills. - Experience in e-commerce, SaaS, fintech, or agency environments is a plus. - Bonus if you have knowledge of CRO tools (Hotjar, Optimizely, etc.). If you are ready to make a measurable impact and grow with a dynamic team, we would love to hear from you. Apply now by sending your resume to triveni@langoor.com.,

Role Overview: You will be joining Analytical Wizards, which is part of the Definitive Healthcare family. The company values innovation and maintains an open, friendly culture. As a Data Scientist / Senior Data Scientist, you will be responsible for utilizing your strong coding skills and experience in data handling and wrangling using Python. Your role will involve working on projects related to advanced analytics, report generation, metrics extraction from complex datasets, and solution workbenches. You will be using various quantitative and analytical techniques to assist clients in making informed business decisions. Additionally, you will be participating in sales and marketing projects, focusing on areas such as multi-channel marketing effectiveness, campaign performance analysis, and designing experiments. Key Responsibilities: - Expertise in custom projects centered around prescription and claims-based reporting and modeling - Collaborate with Product and Customer Success teams to provide insightful analyses to clients - Generate deliverables to support customer engagements - Work with team members to implement optimized solutions - Contribute to internal projects and processes - Collaborate with the global team to create deliverables - Mentor junior analysts and promote best practices - Independently scope client requests Qualification Required: - Data Experts with 2 - 5 years of experience specializing in Python - Educational background in Engineering, Operations Research, Econometrics, and/or Statistics - Hands-on experience with Python is mandatory - Strong interpersonal skills, excellent presentation, and communication skills - Proficiency in Microsoft Excel and SQL - Ability to work with large datasets, think creatively, evaluate current processes, and suggest improvements - Knowledge of Pharma datasets is advantageous Additional Company Details: Analytical Wizards, a leading Analytics Software Development company under the Definitive Healthcare family, is headquartered in New Jersey with a software development and delivery center in Bangalore. The company's primary focus is on the Healthcare Industry, where they develop core data science products to help clients extract unique insights from big data. Their products utilize advanced algorithms in artificial intelligence and machine learning and are used by top pharma and biotechnology companies worldwide. Analytical Wizards has been recognized as one of the fastest-growing private companies in the USA. The company's work culture is employee-friendly, collaborative, innovative, fast-paced, and conducive to learning. (Note: The ISMS Responsibilities section has been omitted as it contained specific internal security policies and processes.),

Role Overview: You will leverage structured and unstructured data from various media and entertainment sources to prepare datasets for advanced analytics and modeling. Your role will involve developing and delivering impactful analytical tools and solutions by leveraging statistical modeling, machine learning, and data science to uncover business insights and support strategic decision-making. Additionally, you will design and apply advanced predictive and machine learning models, including clustering, classification, time series forecasting, logistic regression, and econometric models to optimize pricing strategies, assess price elasticity, segment customers, and enhance revenue across channels. Your responsibilities will also include leveraging generative AI and large language models to develop and implement personalized content and messaging strategies across diverse media channels, enhancing audience engagement and campaign effectiveness. Key Responsibilities: - Develop and deliver impactful analytical tools and solutions using statistical modeling, machine learning, and data science. - Design and apply advanced predictive and machine learning models such as clustering, classification, time series forecasting, logistic regression, and econometric models. - Leverage generative AI and large language models to develop personalized content and messaging strategies across diverse media channels. - Assess and validate statistical models using appropriate performance metrics to ensure precision and accuracy. - Analyze consumer behavior trends and shifts across digital touchpoints; perform cross-channel attribution analysis to inform targeted retention strategies. - Monitor and analyze key engagement metrics to assess the performance of subscriber onboarding programs and their impact on long-term retention. - Interpret complex analytical insights and translate them into clear, actionable business strategies. - Support scalable deployment of data products by following best practices in CI/CD processes and contribute to agile project management through tools like Jira for sprint planning, tracking, and team coordination. - Collaborate cross-functionally with technical and non-technical stakeholders to gather requirements, define project scope, and lead data science initiatives, demonstrating strong communication, leadership, and team-building skills. Qualifications Required: - Bachelor's degree in a related field such as Computer Science, Statistics, Mathematics, or a similar quantitative discipline. - Proven experience in data analytics, statistical modeling, machine learning, and data science. - Strong proficiency in programming languages such as Python, R, or Java. - Excellent analytical and problem-solving skills with the ability to interpret complex data. - Experience in developing and implementing machine learning models and statistical analysis techniques. - Knowledge of AI technologies, generative AI, and large language models is a plus.,

As a FinOps Lead for Cloud Cost Optimization & Strategy, you will be responsible for driving financial accountability and cost optimization across cloud platforms such as AWS, Azure, and GCP. Your role will involve collaborating with engineering, finance, and business teams to ensure that cloud investments deliver maximum business value. Your key responsibilities will include: - Leading FinOps strategy and execution across cloud platforms to ensure alignment with business goals. - Owning monthly cloud billing reviews and cost allocation across different business units. - Developing and maintaining cost models and forecasts for cloud Opex by service and business area. - Driving cost optimization initiatives with product and engineering teams through regular reviews. - Automating reporting and dashboards using tools like Tableau, Power BI, or native cloud analytics. - Tracking Total Cost of Ownership (TCO) and decommissioning benefits over multi-year periods. - Implementing tagging, guardrails, and usage policies to prevent cost overruns. - Collaborating with finance to refresh allocation rules and improve transparency. - Utilizing strategic insights to drive transformation initiatives aligned with the organization's objectives. In addition to the above responsibilities, some highly valued skills for this role may include: - FinOps certification or equivalent experience. - Experience with cloud governance frameworks and compliance. - Knowledge of infrastructure migration and decommissioning strategies. - Exposure to enterprise data platforms such as Snowflake, Databricks, and Starburst. You will be assessed on key critical skills relevant for success in this role, including risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills. This role is based in our Chennai office. In this role, you will lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions. Your responsibilities will include: - Leading engineering teams effectively to achieve project goals and meet organizational objectives. - Overseeing timelines, team allocation, risk management, and task prioritization for successful solution delivery. - Mentoring and supporting team members" professional growth and conducting performance reviews. - Evaluating and enhancing engineering processes, tools, and methodologies to increase efficiency and optimize team productivity. - Collaborating with business partners, product managers, designers, and stakeholders to translate business requirements into technical solutions. - Enforcing technology standards, facilitating peer reviews, and implementing robust testing practices for high-quality solutions. As a Vice President, you are expected to contribute to setting strategy, drive requirements, and make recommendations for change. You will also manage and maintain policies/processes, deliver continuous improvements, and escalate breaches of policies/procedures. It is vital to demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. All colleagues are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset to Empower, Challenge, and Drive.,

As a Marketing Data Science Senior Analyst at the company, you will play a crucial role in extracting valuable insights from data and optimizing marketing campaigns through data-driven recommendations. You will collaborate closely with the Client and Bloom AI product teams to develop and implement advanced analytical solutions. **Key Responsibilities:** - Apply data science methodologies, including customer segmentation, clustering, and predictive modeling, to identify distinct customer groups, behaviors, and forecast key marketing metrics, guiding personalized marketing efforts. - Extract, clean, and integrate data from various sources, including Customer Data Platforms (CDP), Adobe Analytics, Google Analytics, CRM systems, and Salesforce data, to ensure data accuracy and reliability for analysis. - Design, execute, and analyze A/B tests to evaluate the effectiveness of marketing strategies, advertisements, and website changes, making data-driven recommendations for improvements. - Assist in developing marketing attribution models to accurately measure the impact of various marketing channels and touchpoints on customer conversions and sales. - Collaborate cross-functionally with marketing, product development, and IT teams to infuse data science insights into marketing strategies, enabling data-driven decision-making and enhancing customer experiences. **Qualifications:** - Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. - 2-4 years of professional experience as a Data Scientist or Analyst in a marketing environment. Experience in financial services and B2B marketing analytics will be preferred. - Proficiency in programming languages such as Python or R. - Proficiency in SQL for data extraction and transformation. - Strong knowledge of statistical analysis, machine learning techniques, and data visualization tools. - Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn). - Excellent communication skills with the ability to convey complex findings to non-technical stakeholders. - Strong problem-solving skills and attention to detail. - Ability to work collaboratively in a cross-functional team environment.,

Role Overview: As a Modeling Analytics Senior Associate in the Credit Card Loss Forecasting within the Consumer & Business Banking (CCB) Risk Management group, you will be responsible for leading credit forecasting for the $220B credit card portfolio. This role requires strong data analytical knowledge and skills to generate short- and long-term loss forecasts and perform attribution analysis. The role encompasses all aspects of loss forecasting, including CCAR, CECL, Budgets, and Risk Appetite. This is an exciting opportunity to work on high-impact strategy initiatives as they become the key focus of the firm and across the financial services industry. You will excel at creative thinking and problem-solving, be self-motivated, confident, and ready to work in a fast-paced, energetic environment. Key Responsibilities: - Support the end-to-end completion of annual CCAR and quarterly Risk Appetite - Support analytical tools for risk assessment and stress credit evaluations to support annual stress testing, the Risk Appetite framework, and strategy integrations - Collaborate with the central loss forecasting team to manage process timelines and provide necessary information - Work with Finance, Collections, and Risk Strategy to understand changes in the portfolio or strategies and apply overlays as needed - Partner with the Risk Modeling team to ensure the model functions as desired and provide regular inputs for improvement - Create and present forecasts to senior management with a clear storyline and data support - Enhance consistency and efficiency across existing processes and reporting to meet the changing needs of the business - Be a self-motivated individual with the ability to work on multiple projects with limited guidance - Help spearhead best in class documentation and operational risk and audit controls surrounding the CCAR and Risk Appetite Process Qualifications Required: - A Bachelor's degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent work/training is required. Advanced degree preferred - 6+ years of Credit Risk Management, Statistical Modeling, Marketing Analytics and/or Consulting experience - Strong knowledge of Python, SAS or SQL required - Strong analytical, interpretive, and problem-solving skills with the ability to interpret large amounts of data and its impact in both operational and financial areas - Excellent oral and written communication and presentation skills (Note: Preferred qualifications, capabilities, and skills section is omitted as it is not directly related to the required qualifications for the job role.),

As a professional within the Consumer Credit Forecasting team, you will have the opportunity to contribute to the execution of credit loss forecasting models, diagnose model accuracy, and lead analyses to assess relationships and patterns promoting loss performance of the product portfolio. Additionally, you will spearhead the control framework within the function, leveraging analytical insights, predictive analysis, and newer technology applications. You may also engage in process reengineering efforts to streamline and automate redundant activities in a fast-paced environment. - Execute credit loss forecasting models for forecasting credit losses and allowance for the product portfolio supporting regulatory exercises like CCAR, CECL, Firmwide Risk Appetite, and Budget - Present loss forecasting results and levers to senior management and internal stakeholders - Diagnose model parameters and collaborate with the modeling team to propose changes for accuracy at granular segments - Participate in cross-functional communications with Risk Management, Finance, Marketing, and Collections to inform forecasts and incorporate strategic initiatives - Conduct macro sensitivity analytics, loss and allowance attribution, deep dives, and storyboarding - Lead advanced analyses to assess relationships and patterns driving loss performance - Maintain key control evidence integrity by securely documenting and copying control artifacts to the designated controls path - Coordinate with stakeholders to ensure timely validation and communication of results - Bachelor's or Master's Degree in a quantitative discipline (Finance/Stats/Econ/Math/Engineering) or equivalent work/training - Minimum of 3 years of Credit Risk Management, product/revenue analytics, and/or consulting experience - Strong knowledge of Python/SQL/Tableau/SAS/Alteryx/Cloud application architecture - Proficiency in Microsoft Office suite of products (Advanced Excel, VBA, and PowerPoint) - Strong analytical and problem-solving skills with the ability to interpret large amounts of data and its impact in operational or financial areas - Well-organized and structured with strong communication and presentation skills,

As a Hands-on developer, you will be responsible for building models in complex data environments with unambiguous requirements and enjoying working with data. Your main responsibilities will include: - Applying advanced causal inference techniques such as uplift modeling, propensity scoring, and Bayesian methods to enhance outage predictions measurement. - Developing forecasting models for predicting outages performance, resource allocation impacts, and long-term customer impacts for operations teams. - Improving ad testing methodologies like A/B testing, synthetic control experiments, and incrementally testing to accurately measure efficiency. - Optimizing operational team decisioning using reinforcement learning, Bayesian optimization, and econometric modeling. - Collaborating with data engineers to scale and automate model deployment, integrating ML solutions into production environments. Your qualifications should include: - Bachelor's Degree in a Quantitative Field (math, statistics, economics, computer science, physics, engineering, etc.) is required. - Master's/Advanced Degree in a Quantitative Field (math, statistics, economics, computer science, physics, engineering) is preferred. - Proven experience in Fault Prediction models, focusing on attribution modeling, causal inference, and model mix optimization. - Strong background in machine learning, fault metrics, and statistical modeling RAN applications. - Expertise in Python, SQL, and cloud platforms (Azure, Snowflake, Databricks) for scalable modeling and data processing. - Experience with experimental design and incrementality testing in telecom RAN networking subject areas. - Ability to effectively communicate complex data science concepts to both technical and non-technical stakeholders, influencing business decisions. Please note that the job is located in Chennai with work hours from 06:00 PM to 02:00 AM IST.,