109 Statistical Consulting Jobs nearby Karimnagar

As a Senior Data Scientist at AuxoAI, you will be leading strategic initiatives by applying your deep expertise in advanced algorithms and scientific rigor to solve high-impact business problems and guide AI-native product development. Your role will involve the following responsibilities: - Lead the design and development of algorithms across ML, causal inference, and AI problem spaces. - Conduct exploratory data analysis, feature engineering, and statistical modeling with an emphasis on interpretability and reproducibility. - Benchmark and optimize models using advanced algorithms such as gradient boosting (XGBoost/LightGBM), survival analysis, Bayesian hierarchical models, causal impact analysis, and probabilistic graphical models. - Translate complex models into clear, scalable solutions in collaboration with engineering and product teams. - Establish best practices for experimentation, validation frameworks, and responsible AI across projects. - Mentor junior data scientists and foster a high-standard, knowledge-sharing environment. - Stay up to date with emerging techniques in optimization, causal inference, reinforcement learning, bandits, and MCTS. Qualifications required for this role: - 6+ years of experience delivering production-grade statistical and machine learning solutions. - Strong foundation in hypothesis testing, Bayesian inference, and experimental design. - Proven experience with classical ML algorithms, including boosted trees, GLMs, survival models, and ensemble methods. - Proficient in Python and key libraries such as pandas/Polars, scikit-learn, and StatsModels. - Demonstrated ability to turn ambiguous business questions into measurable statistical models. - Ability to communicate insights effectively to both technical and non-technical audiences. - Exposure to MLOps tools and cloud-based environments is a plus. - Advanced degree (M.S./Ph.D.) in Statistics, Computer Science, or a related field. Join AuxoAI in Mumbai/Bengaluru/Hyderabad/Gurgaon (Hybrid) and be a part of a team that values technical depth, curiosity, discipline, and mentorship in a collaborative environment.,

Role Overview: You will be part of a team working on building next-generation data analytics dashboards to facilitate effective decision-making for Talent advisors and Talent Advisory Management. Your contribution will be crucial in creating a data-led culture that emphasizes effective decision-making and transforms the Talent acquisition organization's operations. By leveraging visualization tools, Artificial Intelligence, and Machine Learning technologies, you will play a key role in fusing amazing visualization and user experience to drive innovation. Key Responsibilities: - Create interactive dashboards on BI and OAC platforms with powerful and user-focused visualizations. - Review, process, and validate data integrity for analysis purposes. - Collaborate with stakeholders in the Talent acquisition organization to understand business requirements and objectives. - Utilize scientific methods, processes, and systems to extract insights from structured and unstructured data in candidate/employee databases. - Make strategic recommendations to the leadership team based on data analysis and models, effectively communicating insights through data visualization. - Develop a comprehensive framework for Predictive modeling techniques and present data insights using visualization tools. Qualification Required: - Analytical and statistical skills. - Proficiency in Business Intelligence tools such as Oracle BI, Oracle Analytics Cloud, Microsoft Power BI, etc. - Familiarity with programming languages like SQL, Python, etc. - Data modeling expertise. - Strong Business Acumen and communication skills. - Demonstrated Data Intuition. - Experience with client and customer engagement. - Knowledge of Machine Learning and AI (preferred). Additional Company Details: Oracle, a world leader in cloud solutions, utilizes cutting-edge technology to address current challenges across various industries. With a legacy of over 40 years, Oracle operates with integrity and collaborates with industry leaders to drive innovation. The company values an inclusive workforce that fosters opportunities for all employees and prioritizes work-life balance. Oracle offers competitive benefits, including flexible medical, life insurance, and retirement options, while also encouraging community engagement through volunteer programs. The company is dedicated to inclusivity and supports individuals with disabilities throughout the employment process, offering accessibility assistance upon request.,

As a Data Scientist at our company, your role will involve the following key responsibilities: - Business & Strategy Alignment - Proactively engage with business stakeholders, product managers, and domain experts to deeply understand key organizational challenges and strategic goals. - Formulate and scope data science initiatives, defining clear objectives, success metrics, and a technical roadmap that directly addresses identified business requirements. - End-to-End Model Development & Deployment - Design, prototype, build, and validate machine learning and statistical models from scratch, without reliance on pre-packaged solutions. - Implement and manage MLOps pipelines within Azure Machine Learning to ensure reproducible model training, versioning, testing, and continuous deployment into live operational environments. - Collaborate with DevOps and engineering teams to ensure algorithms run efficiently and scale reliably within the cloud environment. - Data Engineering & Feature Management - Execute complex data ingestion, exploration, and feature engineering tasks, applying rigorous statistical methods and domain knowledge to raw and disparate datasets. - Ensure data integrity throughout the modeling lifecycle, performing extensive Exploratory Data Analysis (EDA) and cleaning to prepare high-quality inputs. - Advanced AI & Innovation (Preferred/Plus) - Explore, experiment with, and deploy large language models (LLMs) and other Gen AI techniques to create new products or optimize existing processes. - Investigate and prototype intelligent software agents capable of autonomous decision-making, planning, and tool use, moving beyond simple predictive models. - Code Quality & Collaboration - Write clean, well-documented, and efficient Python code, adhering to software engineering best practices, including unit testing and code reviews. - Mentor junior team members and contribute to the growth of the team's overall ML/AI knowledge base. Required Qualifications: - Education: Master's degree or higher in Computer Science, Statistics, Mathematics, or a related quantitative field. - Programming Mastery: 5+ years of professional experience leveraging Python for data science, including deep expertise in the PyData stack (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). - Cloud ML Platforms: Proven, hands-on experience building and managing ML models and MLOps workflows specifically using Azure Machine Learning services. - Statistical Rigor: Strong background in statistical modeling, experimental design (A/B testing), and model validation techniques. - Data Skills: Expert proficiency in SQL and experience working with large-scale, high-velocity data, including ETL/ELT processes and data visualization. Preferred Qualifications (A Significant Plus): - Generative AI Experience: Practical experience fine-tuning, RAG-ifying, or deploying modern Large Language Models (LLMs). - Agent Development: Knowledge of agentic frameworks and experience designing multi-step, tool-using autonomous AI workflows. - Experience with other cloud platforms (AWS Sagemaker, GCP Vertex AI) is beneficial. - Demonstrated ability to write production-level, highly optimized code for critical systems.,

Role Overview: You will be joining as a Senior Data Scientist at Ray Business Technologies in Hyderabad. Your role will involve utilizing your expertise in Machine Learning, Deep Learning, statistical modeling, data analytics, and algorithmic problem-solving to deliver tailor-made solutions in areas like AI, ERP, CRM, Cloud, and BI services. With a focus on quality and excellence, you will be part of a skilled team of experts dedicated to helping organizations achieve growth and operational efficiency. Key Responsibilities: - Sound knowledge of Machine Learning, Deep Learning, statistical modeling, data analytics, and algorithmic problem-solving. - Ability to build from scratch in R & D. - Hands-on experience with components like DL, Transform model, LLM, NLP, Computer Vision, etc. - Implementation of Deep Learning techniques and Natural Language Processing (NLP) techniques. - Proficiency in OCR technology and inclination towards Mathematics/Statistics. - Familiarity with MS Excel skills, Reporting, object-oriented programming, and Python or R. - Good knowledge of Cloud Technology, specifically on the Azure cloud platform. Qualifications Required: - 4-8 years of experience in a data science or analytics role, with a proven track record of leveraging analytics for business impact. - Excellent communication skills to translate complex findings into actionable insights for non-technical stakeholders. - Strong knowledge of machine learning techniques and experience applying them to real-world problems. - Strong analytical and problem-solving skills with attention to detail. - Experience with cloud platforms like Azure and big data technologies such as Hadoop and Spark is a plus.,

As a Manager of Performance and Reward Analytics at HSBC, you will play a crucial role in supporting the preparation and completion of critical dashboards and reports for Group or Global compensation specialist teams. Your responsibilities will include understanding data needs, consolidating compensation data using HSBC systems, and completing relevant reports and analytics. You will collaborate with key stakeholders to prepare, analyze, and present meaningful reporting to drive effective business insights. Your ability to communicate complex problems and data analysis to decision-makers in a simple and articulate manner will be essential, utilizing appropriate tools and visualization techniques. Key Responsibilities: - Support in preparing critical dashboards and reports for compensation specialist teams - Analyze and present meaningful reporting for effective business insights - Communicate data analysis to key decision-makers in a simple manner - Extract and convert raw data into actionable recommendations - Maintain high data integrity for informed business decisions - Ensure data accuracy within internal systems - Work independently with minimal guidance Qualifications Required: - Bachelor's or master's degree in HR, economics, mathematics, or engineering - 4-5 years of experience in data analysis and reporting - Proficiency in MS Excel, including VBA - Experience in complex data analysis and analytical tools - Understanding of business needs and objectives - Ability to create detailed spreadsheets, charts, and presentations - Excellent analytical thinking and problem-solving skills - Experience in HR/Reward analytics function is a plus - Ability to perform in a high-pressure environment Additional Details: - Exposure in working with multi-country based teams - Ability to work well independently in a high-volume environment - Strong relationship management and navigation skills in complex organizations - Consulting, research, customer service, and organizational skills are preferred Join HSBC and make a real impact with your career. Your personal data will be handled in accordance with the bank's Privacy Statement available on the website.,

As an intern at our company, you will be part of an accelerated data modernization agenda, working in a high-velocity analytics environment to transform raw data into actionable intelligence. This hands-on role is designed for individuals who can synthesize, visualize, and operationalize insights with precision. Responsibilities: - Drive data profiling, quality checks, and exploratory data analysis (EDA) to establish a reliable analytical foundation. - Support the build-out of automated dashboards and performance trackers for operational, workforce, and delivery metrics. - Translate business requirements into structured analytical outputs using SQL, Python, and visualization frameworks. - Collaborate with cross-functional teams to streamline reporting pipelines and eliminate manual processes. - Apply statistical methods to identify patterns, anomalies, and optimization opportunities. - Assist in KPI modeling, forecasting inputs, and scenario-based analytics for leadership reviews. - Maintain high data hygiene standards across all artifacts to ensure audit-ready accuracy. - Document data flows, transformations, and insights in a structured, repeatable format. - Aid in deploying new analytics models into production workflows. Required Skills: - Strong foundation in SQL, Python, and data manipulation. - Ability to visualize data using Power BI, Tableau, or similar platforms. - Understanding of basic statistical methods, forecasting, and trend analysis. - High-speed learning orientation with a focus on structure, clarity, and execution. - Ability to work under time-compressed cycles with multiple moving pieces. Preferred: - Exposure to cloud data environments (Azure, AWS, GCP). - Experience working with operations, HR analytics, or delivery intelligence datasets. - Familiarity with APIs, basic ETL pipelines, or automation scripts.,

Role Overview: As a Sr. Data Scientist at our company, you will be an integral part of our fast-growing data scientists team. We are seeking self-motivated individuals who are passionate about AI predictive image analytics and machine learning. Your primary responsibility will be to design and develop highly scalable machine learning solutions that have a significant impact on various aspects of our business. You will work on designing and developing Neural Network solutions, especially Convolution Neural Networks, based on our reference architecture leveraging big data, cloud technology, micro-service architecture, and high-performing compute infrastructure. Your daily activities will involve contributing to all phases of algorithm development, including ideation, prototyping, design, and production implementation. Key Responsibilities: - Designing and developing highly scalable machine learning solutions - Working on Neural Network solutions, especially Convolution Neural Networks - Contributing to all phases of algorithm development, including ideation, prototyping, design, and production implementation Qualifications Required: - Background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems - Experience in building machine learning applications and broad knowledge of machine learning APIs, tools, and open source libraries - Strong coding skills and fundamentals in data structures, predictive modeling, and big data concepts - Experience in designing full stack ML solutions in a distributed compute environment - Proficiency in Python, Tensor Flow, Keras, Sci-kit, pandas, NumPy, AZURE, AWS GPU - Excellent communication skills with multiple levels of the organization (Note: Additional details of the company were not provided in the JD),

As a Data Analytics Manager within the Spares and Warranty team at Microsoft's Cloud Supply Chain organization, your primary responsibility will be to optimize customer experience and business operations through data-driven decision making and self-serve analytics. You will lead a team of high-impact data engineers, data analysts, business analysts, and strategic customers to solve complex problems and communicate innovative solutions to stakeholders. Collaborating cross-functionally with engineering teams, product teams, and program management, you will deploy business solutions effectively. **Key Responsibilities:** - Lead the analytics function for spares supply chain, driving insights that inform supply chain and operations decisions. - Set the vision, drive prioritization, and guide technical approaches for leveraging data across all of Spares Supply Chain to identify and pursue the right business opportunities. - Utilize Azure Data technologies to revolutionize data analytics growth within the team, enhancing the speed, accuracy, and scalability of data analysis and insight generation. - Develop and manage relationships with program and business leaders across the organization to understand objectives and identify opportunities. Collaborate closely with other Microsoft Data Analytics and Data Engineering teams to deliver data-informed solutions to address the business's most essential needs. - Create and maintain a data analytics roadmap. Run sprint/quarter/semester planning and foster cross-team collaboration to deliver complex projects. - Develop and deploy Business Intelligence solutions to measure performance, identify trends, and enable data-driven decisions across the spares supply chain ecosystem. Oversee development and enhancement of analytics solutions. - Recruit, mentor, and lead a high-performing analytics team focused on operational excellence and innovation. - Establish success measures that set a high bar of achievement for the organization and drive accountability through the team and partners. - Ability to communicate technical concepts and quantitative analysis in a clear, precise, and actionable manner to non-technical audiences. **Qualifications:** - Bachelor's Degree in Analytics, Engineering, Computer Science, or related field AND 15+ years technical experience in data analysis and reporting, coding languages, business intelligence - OR Masters degree in Analytics, Engineering, Computer Science, or related field AND 12+ years experience in data analysis and reporting, coding languages, business intelligence - OR equivalent experience. - 5+ years of product and/or program management across an impactful portfolio of projects & stakeholders. - 5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience. - 5+ years of demonstrated experience working in a data-intensive environment and translating business needs into data requirements (experience with Microsoft Azure stack, SQL, Python, Azure Databricks, Synapse, Power BI, Fabric, Machine Learning, and AI). - 5+ years people-management experience build & grow teams. - Demonstrated expertise in building, evolving, and leading complex data platforms. - Worked on Business Intelligence problems and have deep knowledge of backend databases, delivering high-impact reports to stakeholders, building statistical models to solve real business problems. **Preferred Qualifications:** - Strong business acumen to identify projects that align with the overall strategy and leverage data insights for strategic goals. - Skilled in delivering engaging presentations to all organizational levels. - Self-motivated with a growth mindset and commitment to continuous learning. - Proven ability to foster a diverse, inclusive, and collaborative team culture.,

As a Senior Data Analytics Specialist at Oliver Wyman DNA, you will be part of a distinguished center of excellence for business analytics and data analytics within Oliver Wyman. Your role will involve leveraging data and information to provide business insights to consulting teams, driving positive outcomes and tangible impact for clients. By combining cutting-edge data science expertise with core consulting skills, you will augment engagement teams with analytical firepower to deliver outstanding results. - Deploy best-in-class analytics, statistical models, and research methods to solve complex business problems and generate impactful business reports. - Support due diligence and valuation projects for private equity clients, assisting in buy decisions, sell/IPO valuations, and post-transaction deal value realization. - Conduct thorough market, financial, and operational due diligence to support investment decisions and deal-value realization. - Develop and maintain financial models, valuation analyses, and data-driven insights using best-in-class analytics and AI techniques. - Prepare clear, concise reports and presentations for internal teams and client stakeholders. - Collaborate with senior team members to identify risks, growth opportunities, and value creation levers for clients. - Support business development efforts by gathering market intelligence and contributing to client proposals. - Maintain and enhance data management and reporting tools leveraging MS Excel, PowerPoint, and other relevant software. - Bachelor's degree in Science, Finance, Mathematics, Economics, or equivalent. MS or Certificate courses in analytics preferred. - Overall experience of 2+ years in data analytics, with a minimum of 1+ years of exposure to market research and/or due diligences. - Excellent analytical and problem-solving skills with a proven ability to deliver actionable insights and proficiency in financial modeling and modeling techniques. - Knowledge and in-depth experience with customer research techniques (interviews, surveys, focus groups). - Experience of doing business research across multiple sectors, preferably in a global consulting firm setup. - Strong written and verbal communication skills with a demonstrated ability to interact effectively with all levels of stakeholders (both internal and external). - Experience of working with specialized data sources such as Capital IQ, Factiva, Bloomberg, etc. - Advanced skills in MS-Office, along with familiarity with Gen AI and other analytical tools preferred. - Strong experience in data analytics and visualization tools such as SQL, Python, and PowerBI. - Quick learner with the ability to learn and pick up a new tool/platform quickly.,

Role Overview: You are a skilled Data Scientist with expertise in machine learning, statistical modeling, and business-focused analytics. Your role involves building predictive models, time-series forecasting, and optimization solutions using Python, SQL, and Azure ML or Databricks. Strong communication skills are essential to translate complex data into clear business insights. Key Responsibilities: - Analyze large, complex datasets to uncover actionable insights for driving business impact. - Design and implement predictive models, especially in areas like customer penetration optimization and regional performance forecasting. - Apply machine learning techniques (supervised and unsupervised learning) to solve critical business problems such as classification, regression, and clustering. - Engineer meaningful features from raw data to optimize model performance. - Conduct exploratory data analysis (EDA) to identify trends, anomalies, and business opportunities. - Conduct feature selection and hyperparameter tuning to enhance model performance. - Validate model results using appropriate statistical and ML evaluation metrics. - Collaborate with data engineers to build and refine robust data pipelines. - Translate insights into clear, actionable strategies by working closely with product, engineering, and business teams. - Utilize visualization tools like Tableau, Power BI, and Google Analytics to communicate insights and model outcomes. - Build models for production deployment using tools like Spring Boot and GitLab. - Consider partner-specific (JV & Wholesale) and regional variations to fine-tune analytics approaches. - Stay updated with ML/AI innovations and suggest tool or process improvements. - Participate in Agile ceremonies and manage tasks using tools such as Jira. - Document methodologies and maintain version control for all modeling projects. Qualification Required: - Bachelor's degree in Computer Science or a related field. - Master's degree or equivalent advanced degree preferred. - Proven track record of delivering data science projects from ideation to production. - Strong communication skills and the ability to tell compelling stories with data. - Comfortable working with both structured and unstructured data sets. Additional Company Details: GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, GlobalLogic has been pioneering the digital revolution by creating innovative and widely used digital products and experiences. The company collaborates with clients to transform businesses and redefine industries through intelligent products, platforms, and services. GlobalLogic prioritizes a culture of caring, continuous learning and development, interesting and meaningful work, balance and flexibility, and integrity as key values for employees and clients.,

Role Overview: You will be part of the Technology Strategy & Advisory Practice at Accenture, where you will have the opportunity to analyze and investigate technology costs to identify new opportunities for clients. Your role will involve working closely with client stakeholders to understand their problems, analyze technology costs, and provide strategic solutions that drive business growth and efficiency. Key Responsibilities: - Interact with client stakeholders to define problem statements, scope of engagement, and drive projects to deliver value - Analyze technology costs through various lenses such as business and technology, and identify cost-saving opportunities - Guide your team to suggest solutions and create implementation roadmaps for long-term success - Mentor junior team members, contribute to developing assets, and lead GTM activities - Create business cases to support strategic initiatives, process improvements, and IT transformations - Develop high-impact thought leadership that articulates a forward-thinking view of the market - Promote a culture of experimentation and innovation within the team Qualifications Required: - 3-4 years of experience in excel modeling, statistical analysis, and data interpretation - Understanding of technology cost areas such as IT budget forecasting, cloud financial management, and IT value realization - Experience in tech cost reduction, financial analysis, digital strategy formulation, and people optimization - Strong consulting, leadership, and stakeholder management skills - Ability to create CXO narratives, drive C-suite discussions, and manage budgeting activities - Advanced presentation and public speaking skills - Proficiency in creating expert content and participating in professional forums - Strong analytical skills and ability to develop sharp narratives from data About the Company: Accenture is a global professional services company that offers a wide range of services in strategy, consulting, digital, technology, and operations. With a focus on innovation and sustainability, Accenture works at the intersection of business and technology to help clients improve their performance and create long-term value. As a part of Accenture, you will have the opportunity to work on transformative projects, collaborate with industry experts, and contribute to shaping innovative solutions leveraging emerging technologies.,

Role Overview: Sandoz, a global leader in sustainable Biosimilar and Generic medicines, is seeking a Group Head, Forecasting to lead the forecasting team in developing accurate forecasts and providing strategic guidance. The role involves driving synergies across units and regions, exploring innovative solutions, and ensuring high-quality forecasts to support business decisions. Key Responsibilities: - Lead the forecasting team to develop and maintain accurate short-term and long-term forecasts for various business units - Evaluate current forecasting processes and methodologies for areas of innovation and improvement - Utilize advanced statistical and analytical techniques to analyze historical data and identify trends - Collaborate with cross-functional teams on forecasting initiatives and gather relevant data and insights - Provide strategic guidance and recommendations based on forecast data to support business planning - Prepare and present detailed forecast reports to senior management and stakeholders - Stay updated with industry trends and best practices in forecasting and data analysis Qualification Required: - Educational Background: Advanced degree in areas such as Management/Statistics/Decision Sciences/Engineering/Life Sciences - Languages: Fluent in English (written and spoken) - Experience: 12+ years of relevant experience in pharma forecasting in a leading pharma or consulting organisation Additional Company Details: Sandoz is a leader in the Generic and Biosimilar medicines sector, impacting the lives of nearly 500 million patients. With a focus on new development capabilities, production sites, acquisitions, and partnerships, Sandoz aims to provide more patients with access to high-quality medicines sustainably. The company values an open, collaborative culture driven by talented colleagues, offering impactful, flexible-hybrid careers in a diverse and encouraging environment for personal growth.,

As a Sr. Business Unit Data Analyst at Assurant-GCC, India, your role involves supporting data quality, validation, and process monitoring across the SSP platform. You will ensure that data is accurate, consistently understood, and reflective of business processes. Working across multiple domains, your responsibilities include identifying and analyzing data discrepancies, contributing to the development of data definitions, and implementing business controls to detect issues early. Additionally, you will collaborate with internal stakeholders and clients to clarify data meaning and maintain the integrity of the SSP shared platform environment. **Key Responsibilities:** - Develop and Maintain the Data Definition Layer: Utilize SQL to build and manage a structured Data Definition Layer that clarifies the meaning, use, and expected behavior of key SSP data elements. - Drive Data Quality and Integrity: Analyze SSP data to identify inconsistencies, anomalies, and gaps that could impact operational accuracy or client deliverables. - Validate System Behavior Through Data: Trace SSP processes and decisions in the data to confirm the system is operating as intended. - Design, Implement, and Oversee Data Controls: Create business controls to monitor key processes and detect issues early. - Collaborate with Business and Technical Teams: Partner with various teams to ensure a common understanding of SSP data. - Monitor Platform Health and Mitigate Risk: Continuously monitor SSP data and controls to reduce operational and client risk. - Support Root Cause Analysis and Continuous Improvement: Investigate data issues, recommend enhancements, and strengthen data validation frameworks. - Document Known Data Behaviors and Issues: Maintain documentation of validated data behaviors and known quality issues. - Support Strategic Data Initiatives: Participate in initiatives aimed at improving SSPs data infrastructure. - Collaborate with Clients on SSP Data Needs: Partner with clients to ensure data definitions are understood and consistently applied. **Qualifications Required:** - 4+ years of work experience - Bachelor's degree in computer science, Engineering, Information Technology, Data Analytics, or related field - Strong analytical skills - Proficiency in the Office suite - Excellent verbal and written communications skills - Ability to work in an agile environment As an individual contributor with leadership skills, you are expected to have strong skills in developing transactional SQL procedures, knowledge of data models and query tools, and the ability to create information from raw data. Additionally, you should have experience in improving data quality, collaborating effectively, and thinking innovatively. Power BI experience and prior experience in SQL procedures in Operations or Finance domain are advantageous. This position offers the opportunity to work in Bengaluru, Chennai, Hyderabad at the India location with working timings from 3:30 PM IST to 12:30 AM IST.,

Role Overview: You will be joining Data Unveil as a Data Analyst, where you will be responsible for interpreting data, analyzing trends, and providing valuable insights to support decision-making processes. Your role will involve working with large datasets, creating reports and visualizations, collaborating with cross-functional teams, and presenting findings to diverse audiences. Key Responsibilities: - Analyze large datasets to identify trends, patterns, and correlations. - Develop and maintain reports, dashboards, and visualizations to communicate key insights effectively. - Collaborate with various teams to understand business requirements and create analytical solutions. - Perform ad-hoc analysis to address specific business challenges. - Identify opportunities for process improvement through data analysis. - Stay updated on industry trends and best practices in data analytics and visualization. - Present findings and recommendations through reports and presentations. Qualifications Required: - Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field. - Proven track record as a data analyst with a history of delivering actionable insights. - Proficiency in SQL for data manipulation and extraction. - Familiarity with statistical analysis tools. - Strong problem-solving skills with the ability to work with complex datasets. - Excellent communication and collaboration skills across different organizational levels. - Detail-oriented, organized, and capable of managing multiple projects simultaneously. - Experience with cloud-based data platforms like AWS or Azure is a plus.,

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 Manager of Analytics at S&P Global Market Intelligence, you will be leading high-visibility analytics projects that directly impact business strategy and customer experience. You will utilize and implement advanced analytics, including machine learning and predictive modeling, to solve complex business problems. Your role will involve mentoring and developing a team of talented analysts, fostering a culture of innovation and analytical excellence. Additionally, you will gain significant exposure by presenting key findings and strategic recommendations to senior leadership. **Responsibilities:** - Lead and oversee analytics projects that provide insights to support the Market Intelligence Customer Experience organization's strategic initiatives. - Develop and implement advanced analytics techniques such as predictive modeling, machine learning, and statistical analysis to drive business decisions. - Collaborate with cross-functional teams to ensure alignment with business goals and deliver actionable insights. - Ensure data accuracy and integrity by establishing robust data management and validation processes. - Mentor and guide junior analysts to foster their professional growth and enhance team capabilities. - Present findings and recommendations to senior leadership and stakeholders to inform decision-making. **Qualifications Required:** - Bachelor's degree in data science, Statistics, Economics, or a related discipline, with 7+ years of experience in the analytics field. - Proficiency in analytics tools and programming languages such as Python, R, SQL, and data visualization software (e.g., Tableau, Power BI). - Strong understanding and hands-on experience with advanced analytics techniques including predictive modeling, machine learning algorithms, and statistical analysis. - Proven leadership skills with experience managing virtual teams and guiding team members. - Excellent communication skills, with the ability to articulate complex findings clearly to non-technical stakeholders. - Strong problem-solving abilities and the adaptability to thrive in a fast-paced, dynamic environment. S&P Global Market Intelligence is a division of S&P Global that delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. The company is committed to advancing essential intelligence through integrity, discovery, and partnership. S&P Global values its employees and provides a range of benefits including health & wellness programs, flexible downtime, continuous learning opportunities, family-friendly perks, and more. For more information about S&P Global Market Intelligence, visit [www.spglobal.com/marketintelligence](www.spglobal.com/marketintelligence).,

As a Data Scientist for Compliance & Internal Audit Support in Hyderabad, India, you will play a crucial role in leveraging advanced analytics and emerging technologies to strengthen compliance and audit capabilities. Your responsibilities will include: - Applying advanced analytics, statistical modeling, and machine learning techniques to generate actionable insights supporting compliance monitoring, auditing, and risk assessment. - Developing scalable and automated data products and pipelines to enhance audit and compliance processes, while staying updated on new advancements in AI technologies. - Accessing and analyzing data from various enterprise systems to identify patterns, trends, and anomalies in transactions. - Collaborating with cross-functional teams to design and deliver innovative analytics solutions across different departments. - Presenting complex analyses and insights in a clear manner to senior stakeholders and diverse audiences. - Supporting priority projects and providing ad hoc analytics as required. Qualifications required for this role include: - Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or related field with at least 4-6 years of relevant experience, OR Master's degree with 4+ years of experience, OR Ph.D. in a relevant field with 2+ years of experience. Preferred qualifications for this position are: - Proficiency in Python, SQL, and familiarity with statistical programming and machine learning frameworks. - Experience with data platforms like Alteryx, Tableau, Databricks, SAS, or cloud-based solutions, with preference for AWS. - Ability to work with structured and unstructured data, including text and natural language processing. - Hands-on experience in data visualization and dashboard creation for non-technical audiences. - Familiarity with AuditBoard or similar governance, risk, and compliance tools is advantageous. - Strong communication skills and ability to thrive in a team-oriented, cross-functional environment. - Innovative mindset with a passion for leveraging emerging AI technologies in compliance and audit contexts. - Detail-oriented, proactive, and adept at managing multiple projects in a dynamic environment. Join our team and contribute to driving ethical, compliant, and efficient business operations through data-driven insights and innovative solutions.,

In this role, as a Business Analyst Manager at YouTube, you will play a critical part in delivering on YouTube's mission to show the world and build a community. Your expertise will be essential in upholding the transparency mandate for the YouTube Trust and Safety and crafting a compelling narrative for executives and the outside world. **Key Responsibilities:** - Formulate a practical and high-impact long-term strategy and goals and lead a dedicated analyst team to collaborate closely with operations, product, and engineering across YouTube Trust and Safety. - Measure, analyze, and identify opportunities to enhance operations at scale in a fast-moving environment. - Manage and develop a team of business analysts, supporting them through the creation and implementation of scaled solutions including complex statistical measurements, experimentation and insight platforms, and robust externalized data and reporting pipelines. - Collaborate closely with various cross-functional stakeholders and APAC and EMEA Trust and Safety Operations leadership. **Qualifications Required:** - Bachelor's degree in Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience. - 9 years of experience working in data analytics, consulting, data science, engineering, or a technical operations role. - 9 years of experience in statistical problem-solving and analyzing data sets using SQL. - 2 years of experience managing a team. **Preferred Qualifications:** - Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science, etc.) with experience in Trust and Safety. - Experience in collecting, managing, and synthesizing large data sets and information from disparate sources, statistical modeling, data mining, and data analysis. - Experience scaling and developing an analytics or business intelligence team in a high-growth environment. - Excellent problem-solving and project management skills with strengths in metrics analysis, experiment design, and automation. - Excellent verbal and written communication, and presentation skills with effective attention to detail. In this role, you will operate at two speeds: the strategic, long-term view of how to tell our safety story to the world, and the fast-moving, tactical view of how to drive daily improvements in our operations. At YouTube, the belief is that everyone deserves to have a voice, and the world is a better place when we listen, share, and build community through our stories. The company works together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, the team moves at the speed of culture with a shared goal to show people the world. They explore new ideas, solve real problems, and have fun - and they do it all together.,

Role Overview: You will be a part of the S&C Global Network - AI team as a Human Capital Analytics Analyst. Your role will involve driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Key Responsibilities: - Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. - Develop advanced statistical models to support HR Analytics offerings and solutions using good experience in data analysis and interpretation for diverse use cases across different industries. - Expertise in Python Programming Language to create efficient and deployable models and knowledge of ML API integrations with different solutions. - Architect effective, scalable, and easy-to-understand dashboards and reporting solutions to identify useful and practical insights for the HR team and business leaders. - Cultivate and maintain strong relationships with clients, understanding their unique challenges and objectives. Manage Project Teams in terms of guiding the Analysts and Associates to design the desired solution. - Design and execute regular and ad-hoc reporting on key HR metrics, offering actionable insights to guide strategic HR decisions. - Assist in creating communication materials and PPT presentations to support analysis, implementation of programs, or strategic initiatives updates. Qualifications Required: - Masters degree in Economics, Statistics, Mathematics, Engineering, or related Analytics discipline from a premier institute. - Overall 5+ years experience in Analytics domain with 2-3 years in people/Human analytics or relevant domain. - Strong understanding of People function, people metrics, talent management processes, and organizational dynamics. - Excellent problem-solving skills and the ability to convert complex data into actionable insights. - Strong communication skills to convey insights and recommendations to both technical and non-technical audiences. - Leadership experience, with a track record of effectively managing high visibility analytics projects. - Good to have skills include PySpark/PyTorch framework exposure, knowledge towards Data Governance, Cloud Integrations, Change Management, Big Data Technologies, HTML 5/js skills, and Optimization Theory and People Analytics Consulting Experience.,

As a highly seasoned and visionary Director of Data Analytics with over 20 years of experience, you will lead our analytics, research, and Generative AI initiatives. Your responsibilities will include: - Setting the long-term strategic direction for all data analytics, research, and Generative AI efforts to align with overall business objectives and digital transformation goals. - Leading the evaluation, integration, and deployment of Generative AI and Large Language Models to create new business value, enhance decision-making, and automate complex processes. - Overseeing a team of quantitative researchers and statisticians to conduct deep-level research, leveraging a strong background in statistical modeling, experimental design, and predictive analytics. - Recruiting, leading, and mentoring a high-performing team of data scientists, data engineers, and analysts to foster a collaborative and growth-oriented environment. - Acting as a key advisor to C-level leadership and the board, translating complex analytical findings and AI capabilities into clear, actionable business strategies and compelling data stories. - Establishing and enforcing robust data governance policies to ensure the ethical and responsible use of AI, data privacy compliance, and data integrity across the organization. - Partnering with departments such as marketing, product, and engineering to embed a data-first mentality and drive the adoption of analytics and AI tools across the enterprise. - Guiding the architectural design and management of the data infrastructure to support scalable AI and analytics operations. - Monitoring industry trends and emerging technologies in Generative AI, machine learning, and advanced analytics to ensure the company remains at the forefront of data-driven innovation. Qualifications required for this role: - Master's degree or Ph.D. in Statistics, Mathematics, Operations Research, Computer Science, or a related quantitative field. - 20+ years of progressive experience in data analytics, data science, and quantitative research, with a minimum of 10 years in a senior leadership or director-level role. - Extensive, hands-on experience with Generative AI and Large Language Models, including practical applications and strategic implementation. - Deep expertise in statistical analysis, machine learning algorithms, and research methodologies. - Proven success in building, leading, and mentoring large data and analytics teams. - Comprehensive knowledge of data governance, data privacy, and AI ethics frameworks. - Exceptional communication and presentation skills, with the ability to influence senior executives and engage technical and non-technical audiences. - Proficiency in modern data analytics tools and programming languages such as Python, SQL, and experience with cloud platforms like AWS, Azure, GCP.,