6 Statistical Concepts Jobs nearby Coimbatore

As a Data Scientist Intern at the company, you will play a vital role in developing data-driven solutions to enhance business growth and innovation. You will collaborate with various teams to analyze data sets, create databases, and implement statistical models for informed decision-making. Key Responsibilities: - Analyze complex data sets to identify trends, patterns, and insights guiding business decisions - Develop and maintain databases, data visualizations, and statistical models to support decision-making - Collaborate with teams to design and implement data-driven projects for business growth - Communicate data insights and recommendations to technical and non-technical stakeholders - Keep abreast of industry trends and emerging technologies in data science and analytics Qualifications Required: - Master's or Bachelor's degree in Computer Science, Statistics, Mathematics, or related field - Proficiency in Python, R, or SQL programming languages - Experience with data visualization tools like Tableau, Power BI, or D3.js - Strong grasp of statistical concepts and machine learning algorithms,

As an Advanced Analytics Senior Manager at our company, you will play a crucial role in setting the strategic direction for the team, taking ownership of the overall Insights and analysis discipline in the market, and ensuring an integrated response to people-based marketing objectives. Your responsibilities will include: - Developing, implementing, and maintaining advanced analytical models using machine learning algorithms and GenAI applications. - Utilizing various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. - Collaborating with cross-functional teams to identify business needs and deliver data-driven solutions. - Creating visually compelling dashboards and reports to present findings to stakeholders. - Continuously evaluating and improving existing analytics methodologies and models to enhance accuracy and performance. - Staying abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. - Mentoring junior team members and contributing to knowledge sharing within the organization. Basic qualifications required for this role include: - A Bachelors or Masters degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. - 10+ years of experience in advanced analytics, data science, machine learning, Generative AI, or a related field. - Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies. - Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI. - Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. - Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. - Strong analytical and problem-solving skills, with an inquisitive mindset. Desired skills for the role include proficiency in various advanced analytics techniques such as: - Descriptive Analytics: Statistical analysis, data visualization. - Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling. - Prescriptive Analytics: Optimization, simulation modeling. - Text Analytics: Natural Language Processing (NLP), sentiment analysis. Additionally, extensive knowledge of machine learning techniques is required, including: - Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others. - Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others. - Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents is a plus. Proficiency in data visualization tools such as Tableau or Power BI, strong skills in data management, structuring, and harmonization to support analytical needs are also desired for this role.,

As a Research Analyst, you will be responsible for analyzing large and complex data sets, identifying key patterns and trends, and providing actionable insights that support marketing, sales, and strategic decision-making. This role requires strong critical thinking, problem-solving, and the ability to work independently with minimal supervision. - Work with large volumes of data to identify, interpret, and analyze business trends. - Develop reports, dashboards, and data-driven insights to support marketing and sales strategies. - Apply statistical methods and mathematical concepts to generate accurate analysis. - Leverage advanced Microsoft Office skills (Excel and Access) for data management and reporting. - Collaborate with cross-functional teams to communicate insights effectively. - Translate complex findings into clear, actionable recommendations. - Advanced knowledge of Microsoft Office (Excel and Access). - Familiarity with research/segmentation tools such as Nielsen, Claritas, MRI/Simmons, Mosaic/PRIZM/Personicx Segmentation, ArcGIS, BCC, or similar (preferred). - Experience handling large data sets; knowledge of SQL is an advantage but not mandatory. - Strong mathematical and statistical skills. - Excellent problem-solving skills, with independent judgment and self-direction. - Highly detail-oriented and organized; strong ability to spot trends. - Excellent oral and written communication skills. - Strong critical thinking ability, with the skill to uncover stories within data and shape them into marketing/sales strategies.,

Role Overview: At o9 Solutions, you will be part of a revolutionary mission to be the Most Valuable Platform (MVP) for enterprises. With the AI-driven platform, the o9 Digital Brain, you will assist in integrating global enterprises" siloed planning capabilities to capture millions and sometimes billions of dollars in value leakage. Your role will contribute to businesses planning smarter and faster, leading to better outcomes for both companies and the planet. Key Responsibilities: - Demonstrate thorough knowledge of industry best practices, business processes, o9's solutions, technical architecture, and value proposition. - Ensure solution usability and uptime by resolving customer issues promptly, maintaining data accuracy, and validating end-to-end workflows. - Identify design issues and collaborate with other consultants to solve business problems, serving as the primary contact for platform upgrades/patches/hot fixes. - Configure the o9 platform based on change requests/enhancements post go-live to address deep operations/supply chain challenges. - Develop and execute workflow and data analytics test cases, work on bugs/issues, and monitor issue resolution progress using support tools. - Support Super User and End User training for a global user base. - Contribute to enhancing internal processes and product features based on customer feedback by liaising with development and operations teams. Qualifications Required: - Experience: 2+ years of implementing planning applications is a must. - Education: Btech/BE/MCA/Mtech - Languages: SQL, MDX, T-SQL or similar; Statistical, Optimization, and Simulation skills through software tools like R, SAS, CPLEX or similar are desirable. - Skills: Deep understanding of supply chain planning concepts including Demand Management, Distribution Planning, Master Planning, and S&OP. - Characteristics: Strong leadership ability, proficiency in both product and domain, effective communication skills, patience, and analytical skills to prioritize tasks effectively. - Team Spirit: Value transparency, frequent communication, and teamwork regardless of hierarchy, distance, or function. Additional Company Details: o9 Solutions is among the fastest-growing enterprise SaaS companies globally, valued at approximately $3.7B. The company aims to digitally transform planning and decision-making for small and large enterprises with its AI-powered platform, the o9 Digital Brain. The high-energy, values-driven culture focuses on being a valuable partner to clients. With a global presence, o9 collaborates with major enterprises like Google, NIKE, Walmart, AB-InBev, Starbucks, Danone, Caterpillar, and Toyota. The company encourages transparency, open communication, collaboration, social impact initiatives, and diverse cultural celebrations. Join o9 on its growth journey and be part of the AI-powered management driving 10x improvements in enterprise decision-making.,

Role Overview: As a Strong Web Analytics resource, you will be responsible for helping clients understand how to enhance their online presence by utilizing tools like Google Analytics 4, Adobe Analytics, and AEP WebSDK. Your role will involve building segmentation, marketing funnels, and customer journeys to gain insights into customer behavior and business performance. You will work closely with website teams to implement web analytics best practices and support personalized website content for an improved customer experience. Additionally, you will be required to analyze data from web analytics tools to derive valuable insights and optimize campaign performance. Key Responsibilities: - Lead client conversations, understand requirements, and assist in creating Business Requirement Documents (BRD). - Design, implement, and quality assure 1st party tracking solutions using Tag Management Systems such as Google Tag Manager, Tealium iQ, and Adobe Launch. - Implement 3rd and 2nd party tracking solutions via Tag Management Systems. - Develop and implement enhanced eCommerce tracking through the data layer and Tag Management Systems. - Utilize Javascript (Vue and React frameworks) for designing custom data layer JSON objects and support DOM scraping based tracking using HTML and CSS. - Conduct in-depth analysis of web analytics data from platforms like Google Analytics, Adobe Analytics, and Tealium IQ. - Analyze media campaigns using Ad server data and understand attribution modeling for media buying decisions. - Apply critical thinking and statistics to identify business opportunities and drive outcomes. - Support Conversion Rate Optimization (CRO) and hypothesis generation in Google and Adobe technology stacks. - Contribute to refining the insight proposition for clients to ensure top-notch service delivery. Qualifications Required: - Strong communication skills to convey complex concepts effectively. - Proficiency in developing detailed tag management solution designs. - Extensive experience in deploying and developing tracking solutions using tools like Launch, GTM, and Tealium IQ. - Good analytical skills and creative problem-solving abilities. - Ability to perform detailed statistical tests and analysis. - Strong multi-tasking skills with a focus on quality and timely delivery. - Capability to build and maintain strong relationships internally and externally. - Extensive experience in using Adobe Analytics and Google Analytics for report creation. - Proficiency in analyzing offline (CRM) and online data for actionable insights. - Excellent statistics skills for deriving insights from various data types. - Strong knowledge of SQL, Google BigQuery, Python, and statistics. Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent Role Overview: As a Strong Web Analytics resource, you will be responsible for helping clients understand how to enhance their online presence by utilizing tools like Google Analytics 4, Adobe Analytics, and AEP WebSDK. Your role will involve building segmentation, marketing funnels, and customer journeys to gain insights into customer behavior and business performance. You will work closely with website teams to implement web analytics best practices and support personalized website content for an improved customer experience. Additionally, you will be required to analyze data from web analytics tools to derive valuable insights and optimize campaign performance. Key Responsibilities: - Lead client conversations, understand requirements, and assist in creating Business Requirement Documents (BRD). - Design, implement, and quality assure 1st party tracking solutions using Tag Management Systems such as Google Tag Manager, Tealium iQ, and Adobe Launch. - Implement 3rd and 2nd party tracking solutions via Tag Management Systems. - Develop and implement enhanced eCommerce tracking through the data layer and Tag Management Systems. - Utilize Javascript (Vue and React frameworks) for designing custom data layer JSON objects and support DOM scraping based tracking using HTML and CSS. - Conduct in-depth analysis of web analytics data from platforms like Google Analytics, Adobe Analytics, and Tealium IQ. - Analyze media campaigns using Ad server data and understand attribution modeling for media buying decisions. - Apply critical thinking and statistics to identify business opportunities and drive outcomes. - Support Conversion Rate Optimization (CRO) and hypothesis generation in Google and Adobe technology stacks. - Contribute to refining the insight proposition for clients to ensure top-notch service delivery. Qualifications Required: - Strong communication skills to convey complex concepts effectively. - Proficiency in developing detailed tag management solution designs. - Extensive experience in deploying and developing tracking solutions using tools like Launch, GTM, and Tealium IQ. - Good analytical skills and creative problem-solving abilities. -

As a Quality Analyst at our Coimbatore team, you will be responsible for evaluating data quality, ensuring accuracy, and optimizing processes across multiple projects. Your analytical and proactive skills, along with expertise in SQL, web research, and market research, will be essential for this role. Key Responsibilities: - Understand client requirements and evaluate collected data for delivery. - Analyze large datasets to assess accuracy and completeness. - Execute data validation and verification processes effectively. - Identify gaps in QA processes and implement improvements for enhanced efficiency and data quality. - Interpret data using statistical techniques and generate regular reports. - Promote a high level of data quality awareness across projects. - Collaborate with technical and non-technical teams to ensure smooth operations. Required Skills & Qualifications: - Strong knowledge of SQL/PostgreSQL. - Proficiency in Web Research and Market Research. - Knowledge of MongoDB is a plus. - Proficient with spreadsheets and data tools. - Good understanding of the travel industry and pricing concepts. - Ability to adapt to changing priorities and processes. - Bachelor's degree in Computer Science, Information Systems, or related field. - 1-2 years of experience as a Quality Analyst, Research Analyst, or similar role. - Strong communication skills and fluency in English. - Team player with the ability to liaise effectively with stakeholders. - Proactive in identifying project risks and providing solutions. - Flexible to work in rotational shifts. Why Join Us: - Opportunity to work on diverse projects with industry exposure. - Collaborative work environment focused on continuous improvement. - Chance to develop your analytical, web, and market research skills. Job Type: Full-time Benefits: - Health insurance - Provident Fund Work Location: In person,

Job Summary: The Lead Tester for AML (Anti-Money Laundering) Model Testing is responsible for overseeing the design, execution, and management of model testing activities focused on Actimize AML systems especially Suspicious Activity Monitoring (SAM). This role ensures AML models are accurate, robust, compliant with regulatory standards (such as BSA/AML), and effectively detect suspicious activities.  Skills:   6+ years of experience in software quality assurance or testing, with at least 3+ years focused on financial     crime or AML systems.   Prior experience in performing Model testing for Actimize's Suspicious Activity Monitoring (SAM) module   Strong understanding of AML concepts, transaction monitoring, model risk management, and regulatory frameworks (e.g.,     FFIEC, OCC, FATF).   Hands-on experience testing machine learning/statistical models preferred; experience with relevant tools (e.g., SQL,       Python, SAS, R).   Solid knowledge of SDLC, model lifecycle, and testing methodologies.   Strong analytical, problem-solving, and communication skills.   Experience in leading and mentoring testing teams.  

As a Lead Data Scientist at Metayb, you will have the opportunity to influence and interact within the Data Sciences team and with Product teams. Your role will involve implementing solutions and contributing to the culture by modelling the culture. You will be expected to use your expertise in areas such as machine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, Deep Learning, Natural Language processing, or computer vision. Your responsibilities will include owning the design and implementation of algorithmic solutions, driving development of problem statements, evaluating trade-offs of different models, and maintaining a well-documented codebase. Key Responsibilities: - Interact within the Data Sciences team and with Product teams - Implement solutions and contribute to the culture - Use expertise in machine learning, statistics, optimization, and more - Own design and implementation of algorithmic solutions - Drive development of problem statements - Evaluate trade-offs of different models - Maintain a well-documented codebase Qualifications Required: - Bachelor's degree in Computer Science, IT, or related field - 6-8 years of professional experience in the industry - Strong programming skills in Python, SQL, Hadoop/Hive - Experience with Azure/Microsoft Fabric based Data Science services - Experience with Pyspark for Big data handling - Strong analytical thinking skills - Ability to creatively solve business problems - Experience developing mathematical and statistical models - Self-driven and passionate about solving real-world problems using data science - Experience in the FMCG/CPG domain - Experience with Sales Forecasting, Market Mix Modelling, and other sales analytics techniques - Experience with Gen AI technologies - Experience managing teams of 5-6 members - Proven hands-on experience developing dashboards and reports using BI tools - Effective written and verbal communication skills If you are passionate about digital transformation, cutting-edge technologies, and being part of a dynamic team dedicated to excellence, Metayb is the place for you! Join us in our mission to transform seamlessly and be at the forefront of digital innovation. [Please note: Any additional details of the company were not explicitly mentioned in the job description provided.],

Role Overview: You will coordinate the understanding and integration of various datasets and design analytical solutions to support critical business needs. This includes tasks such as business opportunity assessments, customer segmentation and targeting, HCP and patient opportunity identification, patient and prospective analytics, smart business experiments (test and learn), market simulations, and patient flow modeling. You will collaborate closely with cross-functional stakeholders from departments such as Marketing, Medical, Market Access, Sales, Forecasting, and other Commercial Operations teams. Key Responsibilities: - Coordinate the understanding and integration of various datasets - Design analytical solutions to support critical business needs - Conduct business opportunity assessments, customer segmentation, and targeting - Identify HCP and patient opportunities - Analyze patient and prospective data - Conduct smart business experiments (test and learn) - Perform market simulations and patient flow modeling - Collaborate with cross-functional stakeholders from Marketing, Medical, Market Access, Sales, Forecasting, and other Commercial Operations teams Qualifications Required: - Bachelor's degree in a quantitative field such as Engineering, Operations Research, Management Science, Economics, Statistics, Applied Mathematics, Computer Science, or Data Science; advanced degree (Masters, MBA, or PhD) preferred - Minimum of 3 years of experience applying advanced statistical methods to large, complex datasets - Proficiency in PySpark, Python, R, and SQL - Familiarity with data visualization tools such as PowerBI, MicroStrategy, Tableau, QlikView, or D3.js - Experience working with platforms like Databricks and IQVIA datasets highly valued - Strong Excel and PowerPoint skills - Background in statistical modeling and machine learning is a plus - Ability to extract and communicate key insights effectively - Excellent organizational and time management capabilities Additional Company Details (if present): The ideal candidate will possess strong leadership and interpersonal skills, with a proven ability to work effectively across business functions and with senior stakeholders. Excellent communication and influencing abilities are essential for presenting complex analyses in a concise and impactful manner. Strategic thinking and the ability to build credibility with the Commercial Leadership Team are key. Familiarity with scientific areas especially oncology is a plus. Experience working with big data technologies, including Spark, is desirable. Candidates should also demonstrate strong problem-solving skills and the ability to quickly grasp new concepts.,

As a Data Scientist at Buckman, you will play a crucial role in leading the development of a Data Science program. Your responsibilities will include collaborating closely with Buckman stakeholders to gain deep industry knowledge in pulp and paper, water treatment, leather, and performance chemical industries. You will be instrumental in crafting a data strategy for the company, focusing on the collection of relevant data, creation of a data science project portfolio, collaboration with external providers, and potentially expanding the internal team. Your ability to communicate effectively and build relationships with key stakeholders and subject matter experts will be vital in driving proofs of concept projects that showcase the innovative use of data science to solve complex challenges. Working in a multi-disciplinary team environment, you will also contribute to the development and deployment of IoT solutions. Key Responsibilities: - Lead the development of a Data Science program at Buckman - Collaborate with stakeholders to gain industry knowledge in various sectors - Define and implement a data strategy, including data collection and project portfolio creation - Partner with external providers and potentially hire additional team members - Communicate effectively and build relationships with key stakeholders and subject matter experts - Drive proofs of concept projects to demonstrate the application of data science in solving unique challenges - Work in a multi-disciplinary team to develop and deploy IoT solutions Qualifications Required: - Bachelor's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics, Physics, Engineering, or Computer Science - 7+ years of relevant working experience in an analytical role involving data extraction, analysis, and visualization - Demonstrated success with a verifiable portfolio of problems tackled If you are passionate about working for a company with a strong focus on sustainability and digital ambitions, Buckman offers an exciting opportunity for you to showcase your expertise in data science and drive tangible impact for real-world customers. In addition to technical skills, you will need to possess strong business acumen, effective collaboration abilities, excellent communication skills, and robust planning and organization capabilities. Being a lifelong learner who constantly updates your skills will be beneficial in this dynamic role. As a Data Scientist at Buckman, you will play a crucial role in leading the development of a Data Science program. Your responsibilities will include collaborating closely with Buckman stakeholders to gain deep industry knowledge in pulp and paper, water treatment, leather, and performance chemical industries. You will be instrumental in crafting a data strategy for the company, focusing on the collection of relevant data, creation of a data science project portfolio, collaboration with external providers, and potentially expanding the internal team. Your ability to communicate effectively and build relationships with key stakeholders and subject matter experts will be vital in driving proofs of concept projects that showcase the innovative use of data science to solve complex challenges. Working in a multi-disciplinary team environment, you will also contribute to the development and deployment of IoT solutions. Key Responsibilities: - Lead the development of a Data Science program at Buckman - Collaborate with stakeholders to gain industry knowledge in various sectors - Define and implement a data strategy, including data collection and project portfolio creation - Partner with external providers and potentially hire additional team members - Communicate effectively and build relationships with key stakeholders and subject matter experts - Drive proofs of concept projects to demonstrate the application of data science in solving unique challenges - Work in a multi-disciplinary team to develop and deploy IoT solutions Qualifications Required: - Bachelor's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics, Physics, Engineering, or Computer Science - 7+ years of relevant working experience in an analytical role involving data extraction, analysis, and visualization - Demonstrated success with a verifiable portfolio of problems tackled If you are passionate about working for a company with a strong focus on sustainability and digital ambitions, Buckman offers an exciting opportunity for you to showcase your expertise in data science and drive tangible impact for real-world customers. In addition to technical skills, you will need to possess strong business acumen, effective collaboration abilities, excellent communication skills, and robust planning and organization capabilities. Being a lifelong learner who constantly updates your skills will be beneficial in this dynamic role.

As a Software Engineer at Firstsource, your role involves developing capabilities to build software systems using various software and cloud technologies. You should possess strong analytical and problem-solving skills, expertise in software programming, software database management, and creating visualization and interaction layers on Web/Windows platforms. Integration with underlying technology frameworks and computer operating systems like Windows/Unix is essential. Exposure to AI/ML and Data science will be advantageous. Your key responsibilities will include: - Developing and building software applications/systems based on design documents across Front-end (web/windows), Back-end (.net/java/python), and Database systems. - Following best practices for design, coding, automated testing, and deployment to production, working effectively within an agile-at-scale framework. - Communicating status, updates, and plans to project leadership, along with the willingness to learn, acquire, and get certified on new technologies as required by projects. - Any experience in AI, ML, and Data science will be an added advantage. Key requirements for this role: - Proficiency in at least one of Java/.Net/Python/NodeJS. - Good knowledge of JavaScript, at least one of ASP.Net/Angular/ReactJS. - RDBMS (Oracle/SQL Server/Postgre) and SQL. - Familiarity with database management tools like Liquibase/Hibernate. - Understanding of DevOps (e.g., Azure DevOps) and cloud PaaS. - Knowledge of coding standards, debugging ability, software development lifecycle, and processes. - Experience with cloud-based deployment (AWS/Azure), model performance monitoring, and troubleshooting issues. - Strong written and oral communication skills, the ability to work effectively in a cross-functional team, and familiarity with Docker and Git. Additionally, exposure to AI/ML frameworks like Pythin, Keras, Pytorch, and libraries such as scikit-learn, as well as practical application of statistical analysis and mathematical modeling concepts, will be beneficial for this role. Please note that Firstsource follows a fair, transparent, and merit-based hiring process and does not ask for money at any stage. Beware of fraudulent offers and always verify through official channels or @firstsource.com email addresses.,

As a Reporting Analyst I at Mr. Cooper Group, you will play a vital role in collecting, analyzing, and presenting data in a clear and actionable format to support business decision-making. Your contributions will be crucial in keeping the dream of homeownership alive. You will have the opportunity to work in a collaborative environment that values challenging the status quo, making a difference through volunteering, and prioritizing the care and service of teammates and customers. Key Responsibilities: - Collect and interpret data to generate reports that offer valuable insights. - Develop and maintain dashboards using tools such as Excel, Power BI, and Power BI Report Builder. - Identify trends and patterns in data to facilitate business insights. - Collaborate with cross-functional teams to understand reporting needs and provide effective solutions. - Ensure data accuracy and integrity in all reports and dashboards. - Address ad hoc data requests promptly and provide accurate insights. - Contribute to the development and implementation of data collection systems and strategies. Qualifications: - 1-2 years of experience in data analysis or reporting. - Proficiency in Microsoft Excel and basic SQL; familiarity with Power BI or Tableau is advantageous. - Strong analytical and problem-solving abilities. - Excellent written and verbal communication skills. - Attention to detail and adeptness at managing multiple tasks concurrently. Preferred Skills: - Knowledge of statistical tools and techniques. - Experience with data visualization and business intelligence platforms. - Understanding of database structures and data warehousing concepts. Join Mr. Cooper Group in Chennai, Tamil Nadu, India, and be a part of making the dream of homeownership possible.,

As a Junior Data Analyst, your role involves collecting, cleaning, and analyzing data to support business decisions. You will work under senior analysts to find trends, create reports, and build visualizations using tools like Excel or Tableau. Your key responsibilities include: - Data Collection & Cleaning: Gather data from various sources and perform cleaning and validation to ensure accuracy and integrity for analysis. - Data Analysis: Apply statistical methods to identify trends, patterns, and insights within datasets under the guidance of senior team members. - Reporting & Visualization: Create charts, graphs, and dashboards to present data findings clearly and effectively to stakeholders, using tools like Excel, Tableau, or Power BI. - Database Management: Assist in maintaining and updating data systems and databases to ensure they are organized and accessible. - Collaboration: Work with cross-functional teams, including senior analysts and data scientists, to understand data needs and deliver solutions. - Stakeholder Support: Prepare reports, summaries, and presentations to communicate data insights and support data-driven decision-making processes across the organization. In this role, you will need the following essential skills: - Technical Skills: Proficiency in data visualization tools (e.g., Tableau, Power BI), data analysis software (e.g., Excel, SQL), and statistical methods. - Analytical Skills: Ability to identify data discrepancies, interpret statistical findings, and understand complex datasets. - Communication: Strong written and verbal communication skills to explain technical data concepts to non-technical audiences. - Problem-Solving: Ability to identify data-related challenges and contribute to the formulation of solutions. - Collaboration: A team player who can work effectively with various departments and senior analysts. You will typically use the following tools in your work: - Spreadsheets: Microsoft Excel for data organization and basic analysis. - Business Intelligence Tools: Tableau, Power BI for creating interactive visualizations and dashboards. - Database Languages: SQL for data querying and manipulation. Please note that this is a full-time, permanent position with the work location being in person.,

As an MDE (Manufacturing Design Engineer) at Apple, you will: - Handle selection, implementation & optimization of manufacturing processes for mechanical enclosure subassemblies for our legendary products. - Utilize Mechanical Engineering experience and work cross functionally with Product Design Engineering and Industrial Design. - Assess product features for manufacturability, and recommend capable processes and equipment. - Develop new manufacturing processes to enable future product design and conducting DOEs to validate process capability. - Work with Global Supplier Managers to identify capable suppliers, assess their secondary processes for capacity, quality and cost. - Work with suppliers to define and refine mechanical tooling, fixtures and establish capability / readiness. - Audit supplier processes and assembly processes and support product phase builds from EVT, DVT PVT and ramp. - Assist post-production quality / cost improvement activity related to fixtures and processes. As an MQE (Manufacturing Quality Engineer) at Apple, you will: - Utilize Engineering, Factory Management & Supply Chain skills in developing and implementing high efficiency inspection equipment, groundbreaking quality systems, and ultimately the best products available. - Help lead the creation of state-of-the-art inspection & measurement equipment for Apple products. - Apply your understanding of quality control and manufacturing concepts to lead the development of specific Product Quality Plans (PQP) appropriate to program and commodity. - Provide technical direction and mentorship to other Quality Engineers supporting the implementation of the PQP. - Identify and direct studies to implement improvements in measuring method where appropriate. - Coordinate Quality Engineering functions for multiple programs in the product category. - Collaborate with internal and external groups to ensure accurate definition of quality expectations and appropriate assurance techniques are used for the product. - Support Supplier Quality Management through assisting in the supplier selection process for new products and sourcing activities. Minimum Qualifications: - Masters Degree or PhD in Mechanical Engineering, Material Science, or Industrial Engineering or related field from a premier engineering school with 1-2 years of relevant industry experience. Preferred Qualifications: - Experience in a hands-on manufacturing environment. - Experience developing quality plans, validating test methods and gauges, and driving corrective actions/failure analysis efforts. - Knowledge of quality and reliability concepts, supplier management, and general manufacturing operations. - Project management experience and a deep understanding of problem-solving tools including design of experiments, root cause analysis, and statistical process control principles preferred. - Experience with any of the following: mechanical enclosures, casings, plastic parts, injection molding, tooling, jigs, fixtures, or automotive high volume quality manufacturing engineering. - Understanding of GD&T Geometric Design & Tolerance, as well as statistics. - Understanding of mechanical properties of materials as they relate to manufacturing requirements. - Understanding of DOE principles. - Willingness & ability to travel 50% domestic and overseas. - Extraordinary interpersonal skills - verbal, written, and executive presentations.,

As a Full Stack Developer, your role will involve understanding strategic concepts, identifying potential scenarios, and creating tactical product solutions. You will analyze business requirements and customer needs behaviors to translate them into rich user interfaces with simplistic user flows and navigation practices. Your responsibilities will also include optimizing designs for maximum speed, extensibility, and scalability, as well as designing database-driven websites with e-Commerce functions. Additionally, you will build applications using core PHP and PHP-based frameworks, integrating server-side web application logics with user-facing elements, and building reusable code and libraries for future use. Key Responsibilities: - Understand strategic concepts, identify potential scenarios, and create tactical product solutions - Analyze business requirements and customer needs behaviors to translate them into rich user interfaces with simplistic user flows and navigation practices - Optimize designs for maximum speed, extensibility, and scalability - Design database-driven websites with e-Commerce functions - Build applications using core PHP and PHP-based frameworks - Integrate server-side web application logics with user-facing elements - Build reusable code and libraries for future use - Implement structured, scalable, and secure data storage solutions - Optimize output data on multiple delivery platforms (Mobile vs. Desktop) - Address product usability issues / bottlenecks based on internal and external feedback - Generate analytics and statistical reports Qualification Required: - Education: Graduates or Diploma Holders in Computer Science or related discipline - Skills: Photoshop, HTML, CSS, Bootstrap, Linux, Apache, MySQL, PHP, JS, jQuery, Ajax - Working knowledge in Magento and wire-framing tools will be an added advantage - Experience: 3-5 years of hard core programming experience as a full stack developer - Comfortable working with RESTful web services within web applications - Good debugging and analytical skills to quickly find the cause of an issue and resolve - Familiar with mobile app cross-platform frameworks (PhoneGap, Cordova) - Good knowledge of version control systems (Git) and security principles - Deep understanding of the latest graphic designs, trends, and practices - Proficiency in Responsive Web Design, cross-browser, and cross-device compatibility In addition, your ability to work in a fast-paced, development-oriented environment, strong analytical and problem-solving skills, basic understanding of SEO principles, ability to prioritize and execute tasks in a high-pressure environment, excellent relationship skills to work collaboratively in a team environment, and a high level of personal integrity and ethics are essential for this role. Please note that you must pass pre-employment tests, including background checks.,

Role Overview: As a BI Data Analyst/Specialist 3 with 6-9 years of experience, you will be responsible for conducting consultative analytics and creating executive-level recommendations for business partners and line finance. Your role involves providing a broad range of ad hoc analytical support, critical for driving business planning and decision-making processes. Key Responsibilities: - Providing analyses and strategic recommendations to team, management, and business partners - Synthesizing data, analyses, and conclusions into self-service dashboards or presentations for senior management - Finding opportunities to streamline work processes for improved efficiency and effectiveness - Proactively partnering and communicating with business and Finance partners - Using tools and business knowledge to continuously provide insightful information, reporting, and analytics that adapt with changes in the business - Collaborating with the business to understand investment opportunities and provide cost-benefit analyses to support decision-making - Contributing to the finance community with energy, enthusiasm, and team spirit Qualifications Required: - Expertise and significant experience in Data Analytics and modeling, including predictive modeling and time series forecasting, preferably in workforce optimization area - Outstanding analytical and problem-solving skills, capable of working through ambiguous requests from concept to delivery independently - Translate research findings and quantitative analyses into accessible visuals for non-technical audiences, offering a clear interpretation of data and communicating recommendations effectively - Willingness and ability to learn new tools and technologies as required - Ability to adapt to shifting priorities while maintaining progress on regularly scheduled work - Excellent written and verbal communication skills, including the ability to communicate effectively at various levels of the organization, simplifying complex ideas into understandable terms - Intellectually curious with a willingness to ask questions and challenge the status quo for the organization's benefit - Strong interpersonal skills, flexible, and adaptable team player Additional Details: - Work Timings: 1pm to 10pm - Minimum Experience Required: 6 to 9 years - Location Preference: Chennai candidates only Note: Proficiency in Python and the ability to influence senior leaders in the organization are good-to-have skills for this role.,

**Role Overview:** As an Engineer, Manufacturing II (Integration) at our company, your primary responsibility will be to identify and implement opportunities for efficient process engineering using data, modeling, and applying Industry 4.0/ Advanced analytics concepts to improve Yield, Wattage, and process control in the Semiconductor Manufacturing setting. **Key Responsibilities:** - Strong track record of effective problem-solving and root-cause analysis working with cross-functional technical teams - Understanding of manufacturing engineering systems (FMEA, SPC) and structured problem-solving methods (such as DMAIC) - Proficiency in Statistical Data Analysis, DOE, and experience using statistical software (Minitab, JMP, SAS, Matlab, etc.) - Experience with standard data science and machine learning packages - Good understanding of the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels) - Background education in physics, materials science preferred - Experience in Semiconductor Device Physics is a plus - Ability to work with minimal supervision - Experience in high volume ramp and/or new tech transfer - Lean Manufacturing knowledge **Qualifications Required:** - Bachelor's Degree in engineering, physics, or chemistry with 5+ years of experience in Semiconductor Manufacturing setting - Master's Degree with at least three years of experience in Semiconductor Manufacturing settings, or PhD in an engineering or similar technical discipline with at least 1 year of experience required **Additional Details:** This role will require you to ensure adherence to all safety/environmental procedures, lead discussions with cross-functional departments, design statistical experiments, analyze data using sound statistical methodology, provide engineering support for high-volume manufacturing, develop training programs, analyze data trends, correlate metrics, identify data-driven solutions, implement production solutions, predict and optimize throughput, yield, and process control, utilize Industry 4.0 elements, and scale proof of concepts to production levels locally and cross-plant. If you meet the education and experience requirements and excel in completing the listed responsibilities, we encourage you to apply for this exciting opportunity at our location in Plot No.A-1/1 SIPCOT Industrial Park, Sriperumbudur, Tamil Nadu, 602105, IN.,

As an experienced Analytics professional, your role will involve designing, developing, and maintaining business intelligence dashboards and reports using Tableau, Google Data Studio, and Microsoft Excel to support sales performance tracking. You will analyze complex datasets using SQL and Python to extract insights that will drive sales strategies and operational improvements. Your responsibilities will also include leading the development of accurate and timely sales forecasts, collaborating with cross-functional teams to align business objectives with data-driven decision-making, and communicating key performance trends and insights to stakeholders through structured presentations and reports. Additionally, you will identify performance gaps and improvement opportunities, recommending strategic initiatives to senior leadership, and support ad hoc analytical requests while contributing to strategic business initiatives. Key Responsibilities: - Design, develop, and maintain business intelligence dashboards and reports using Tableau, Google Data Studio, and Microsoft Excel - Analyze complex datasets using SQL and Python to drive sales strategies and operational improvements - Lead the development of accurate and timely sales forecasts and contribute to sales planning activities - Collaborate with cross-functional teams to align business objectives with data-driven decision-making - Communicate key performance trends and insights to stakeholders through structured presentations and reports - Identify performance gaps and improvement opportunities, recommending strategic initiatives to senior leadership - Support ad hoc analytical requests and contribute to strategic business initiatives Qualifications Required: - 4+ years of relevant experience in Analytics - Advanced proficiency in SQL and Python - Data Visualization skills using Tableau, Google Data Studio, and Excel - Strong grasp of statistical concepts and their application in business scenarios - Demonstrated experience in sales planning and forecasting is an advantage - Excellent interpersonal and stakeholder management skills, with the ability to work effectively across teams - Strong problem-solving abilities and attention to detail This job opportunity is with Indium Software, a company known for its expertise in software testing services and solutions. As an experienced Analytics professional, your role will involve designing, developing, and maintaining business intelligence dashboards and reports using Tableau, Google Data Studio, and Microsoft Excel to support sales performance tracking. You will analyze complex datasets using SQL and Python to extract insights that will drive sales strategies and operational improvements. Your responsibilities will also include leading the development of accurate and timely sales forecasts, collaborating with cross-functional teams to align business objectives with data-driven decision-making, and communicating key performance trends and insights to stakeholders through structured presentations and reports. Additionally, you will identify performance gaps and improvement opportunities, recommending strategic initiatives to senior leadership, and support ad hoc analytical requests while contributing to strategic business initiatives. Key Responsibilities: - Design, develop, and maintain business intelligence dashboards and reports using Tableau, Google Data Studio, and Microsoft Excel - Analyze complex datasets using SQL and Python to drive sales strategies and operational improvements - Lead the development of accurate and timely sales forecasts and contribute to sales planning activities - Collaborate with cross-functional teams to align business objectives with data-driven decision-making - Communicate key performance trends and insights to stakeholders through structured presentations and reports - Identify performance gaps and improvement opportunities, recommending strategic initiatives to senior leadership - Support ad hoc analytical requests and contribute to strategic business initiatives Qualifications Required: - 4+ years of relevant experience in Analytics - Advanced proficiency in SQL and Python - Data Visualization skills using Tableau, Google Data Studio, and Excel - Strong grasp of statistical concepts and their application in business scenarios - Demonstrated experience in sales planning and forecasting is an advantage - Excellent interpersonal and stakeholder management skills, with the ability to work effectively across teams - Strong problem-solving abilities and attention to detail This job opportunity is with Indium Software, a company known for its expertise in software testing services and solutions.

Role Overview: You will be the Delivery Client Partner responsible for leading client engagements from the early sales cycle through solution delivery and post-implementation growth. Your role involves acting as a strategic advisor, understanding client business challenges, designing tailored solutions, and ensuring successful implementation of the Pandos platform. Additionally, you will manage the entire delivery process, drive product adoption, foster strong relationships with key stakeholders, lead change management efforts, address escalations, and collaborate across internal teams to ensure client success and identify growth opportunities. Key Responsibilities: - Engage early in the sales cycle to provide delivery plans, highlight delivery differentiators, and build client confidence in achieving their objectives. - Function as the business and industry expert for transformational projects/programs aligned to a single solution. - Estimate effort for task-level implementation activities, recommend appropriate roles for execution, and articulate the business impact of recommended solutions. - Understand Pandos platform capabilities, orchestrate the SaaS delivery process, and ensure rapid adoption and value realization. - Help identify change management efforts needed for global or regional program implementations, lead the delivery process, and handle client escalations. - Build deep relationships, drive product adoption, inspire customer growth and advocacy, collaborate with Account Management and Customer Success teams, and maintain relationships with senior stakeholders. - Collaborate effectively with internal stakeholders, share feedback with Product Management, and identify areas for solution development opportunities. Qualifications Required: - 6+ years of SCM/Logistics experience. - 1-2 years of Consulting experience. - 5+ years of IT Implementation experience for enterprise clients, preferably in USA/European markets. - 3+ years of industry expertise with direct experience in enterprise SaaS products. - Degree from SP Jain/NITIE equivalent. - Relevant solutions consulting and implementation experience with other leading supply chain execution solutions. - Must have completed SCM product solution roll-outs. - Senior Client stakeholder management and direct project management experience is mandatory. - Good interpersonal, presentation, and communication skills. - Strong client management skills and analytical abilities. Additional Company Details: Supported by an Advisory Board of veterans in India, Europe, and the Valley, the company is building a strong, diverse team of creative, driven individuals who yearn for independence and purpose in their work, supporting each other to grow.,

You will play a crucial role in determining financial outcomes by collecting operational data/reports, conducting analysis, and reconciling transactions. Your responsibilities will include: - Working closely with the business to identify issues and using data to propose solutions for effective decision-making. - Building algorithms and designing experiments to merge, manage, and extract data to provide tailored reports to colleagues, customers, or the wider organization. - Using machine learning tools and statistical techniques to solve problems. - Creating clear reports that convey compelling stories about how customers or clients interact with the business. - Undertaking preprocessing of structured and unstructured data. - Analyzing large amounts of information to discover trends and patterns. - Being well-versed in techniques such as classification, regression, SVM, time series analysis, decision trees, etc. - Assessing the effectiveness of data sources and data-gathering techniques and improving data collection methods. - Staying up to date with the latest technology, techniques, and methods through horizon scanning. - Conducting research to develop prototypes and proof of concepts. - Identifying opportunities to apply insights, datasets, code, or models across other functions in the organization. Qualifications required for this role: - Bachelor's degree in Finance, Accounting, Economics, or a related field (advanced degree preferred). - Battle-tested experience as a financial data analyst, ideally in fintech or financial services. - Tech-savvy with expertise in data analysis tools and programming languages (e.g., Excel, SQL, Python, R) and data visualization tools like Power BI. - Proficiency in financial modeling and forecasting techniques. - Stellar communication skills to convey complex financial concepts in a digestible manner. - A collaborative spirit ready to thrive in cross-functional teams. About the company: StuCred is a dynamic fintech company headquartered in Chennai, India, committed to transforming the financial landscape by providing innovative and accessible financial solutions to students and young professionals. You will play a crucial role in determining financial outcomes by collecting operational data/reports, conducting analysis, and reconciling transactions. Your responsibilities will include: - Working closely with the business to identify issues and using data to propose solutions for effective decision-making. - Building algorithms and designing experiments to merge, manage, and extract data to provide tailored reports to colleagues, customers, or the wider organization. - Using machine learning tools and statistical techniques to solve problems. - Creating clear reports that convey compelling stories about how customers or clients interact with the business. - Undertaking preprocessing of structured and unstructured data. - Analyzing large amounts of information to discover trends and patterns. - Being well-versed in techniques such as classification, regression, SVM, time series analysis, decision trees, etc. - Assessing the effectiveness of data sources and data-gathering techniques and improving data collection methods. - Staying up to date with the latest technology, techniques, and methods through horizon scanning. - Conducting research to develop prototypes and proof of concepts. - Identifying opportunities to apply insights, datasets, code, or models across other functions in the organization. Qualifications required for this role: - Bachelor's degree in Finance, Accounting, Economics, or a related field (advanced degree preferred). - Battle-tested experience as a financial data analyst, ideally in fintech or financial services. - Tech-savvy with expertise in data analysis tools and programming languages (e.g., Excel, SQL, Python, R) and data visualization tools like Power BI. - Proficiency in financial modeling and forecasting techniques. - Stellar communication skills to convey complex financial concepts in a digestible manner. - A collaborative spirit ready to thrive in cross-functional teams. About the company: StuCred is a dynamic fintech company headquartered in Chennai, India, committed to transforming the financial landscape by providing innovative and accessible financial solutions to students and young professionals.