Data Analytics jobs in India

The Head of Data Sciences, Analytics and BI will be responsible for leading data-driven decision-making processes and enhancing business intelligence capabilities within the organization. This role requires expertise in analytics and a strong background in managing data science projects in the Transport & Distribution industry

The Analytics and Data Strategy Head will lead data-driven initiatives and strategies to improve decision-making and operational efficiency within the organization. This role involves managing analytics projects, developing predictive models, and driving insights to optimise business outcomes in the building materials industry.

We are looking for a highly skilled Data Science Product Manager to lead and optimize data-driven decision-making processes in the FMCG industry. This role is based in Mumbai and requires expertise in GenAI, Agentic, LLM, & MLOps .

The HR Ops Analyst in the MNC will be responsible for supporting human resources operations through MIS reporting, analytics, ensuring smooth processes within the organisation. This role is based in Chennai and requires a detail-oriented individual with a focus on efficient service delivery.

We're hiring for a Sr. Business Analyst, with min. 3+ years of experience in confluence, JIRA, and cloud-based data architectures, skilled in stakeholder management and adaptable across BA, DA, and PM roles.

The AD/SM - DE role in the Financial Services industry involves managing data engineering tasks to support investment and asset management analytics. This position is based in Bangalore and requires expertise in analytics and data processes.

The incumbent will be responsible for deploying analytics algorithms and tools on chosen tech stack for efficient and effective delivery. Responsibilities include delivering insights and targeted action plans, address specific areas of risk and opportunity, work cross-functionally with business and technology teams, and leverage the support of global teams for analysis and data

The Practice Head - Gen AI will lead the vision, strategy, and P&L for the Generative AI practice, driving innovation and large-scale AI/ML solution delivery across industries. This person will build and mentor high-performing teams, fosters innovation, and partners with clients to deliver scalable, ethical, and high-impact GenAI solutions.

Lead Data Engineer who can drive the back bone of data platform.

- This role focuses on supporting strategic HR projects with an emphasis on compensation, people analytics and talent management.

- It involves analyzing HR data, conducting benchmarking and driving initiatives like org design, job evaluation and workforce planning to support business goals.

The role of an AI Expert in the Energy & Natural Resources industry focuses on developing and implementing AI-driven solutions to optimize renewable energy processes. You will contribute to enhancing data analytics capabilities within the Analytics department while working in Gurgaon.

The Manager People Analytics role focuses on leveraging data and analytics to drive HR decisions and improve organisational effectiveness. This position requires strong analytical skills and a deep understanding of people-related metrics within the life insurance industry.

We are looking for a talented Senior Data Scientist/Data Scientist to join a leading team in the Financial Services industry, specifically within the Retail Banking & Loans Providers sector. The role is based in Bandra (East), Mumbai, and involves leveraging data analytics to drive business decisions and optimise operations.

The AVP - DWH role in the Financial Services industry focuses on managing and optimizing data warehouse solutions to support analytics and reporting. The position is based in Mumbai Suburban and requires expertise in data management and analytics within the Brokerage domain.

The HR Strategy & Analytics role requires expertise in human resources operations and strategic decision-making. Based in Mumbai Suburban, the position focuses on leveraging data analytics to drive HR initiatives and optimise workforce management.

This role involves leading a team that builds and maintains Python-based infrastructure critical to data analytics, storage, and services across the organization, with a strong focus on performance optimization using low-level programming and compilation techniques. The position also requires close collaboration with business teams to enhance workflows, along with responsibilities in people and project management.

The Manager Data Science role in the Transport & Distribution industry involves leading analytics initiatives and delivering data-driven insights to optimize logistics operations. This position is based in Chennai and requires expertise in data science and analytics within the Third Party Logistics sector.

The role of a Data Architect in the Manufacturing Industry involves designing and managing data infrastructure to support business analytics and decision-making. The position requires expertise in data systems and a strong understanding of analytics within the industrial sector.

We are looking for an Associate Data Scientist to join our Analytics team. The ideal candidate will contribute to data-driven solutions, leveraging statistical models and machine learning techniques to solve complex problems

The role of a Data Scientist involves leading advanced analytics projects and delivering data-driven insights to support decision-making processes. This position is ideal for candidates with a strong analytical mindset and expertise in data science methodologies within the financial services industry.

The Senior Data Scientist role in Chennai requires expertise in analytics to drive data-driven decisions within the transport and distribution industry. The ideal candidate will work on complex datasets to optimize operations and provide actionable insights.

Job Requirements
Education Bachelor's degree in business or related field is preferred
Relevant Experience * 2 years+ of experience in inventory demand planning * Proven track record in setting and achieving inventory short, medium and long-range inventory plans * Exceptional ability to communicate complex analytics in a clear, actionable manner to influence decision-making * Strong interpersonal skills to effectively collaborate with internal teams and external parties * Skilled in monitoring and measuring inventory demand planning performance against goals, with the ability to provide insights and make timely adjustments * Results-driven mindset with the ability to balance strategic planning and tactical execution Behavioural Skills * Delivery Excellence * Business Disposition * Social Intelligence * Innovation & Agility * Purposeful Leadership Technical Skills * Strong analytical skills with proficiency in inventory management software and tools (e.g., PDI, Relex) * Advanced proficiency in Excel and other data analysis tools; experience with visualization tools e.g., Power BI, Tableau etc. Knowledge * Data Analytics * Good knowledge in Power BI, MS Excel and Tableau

Qualifications

 Bachelor's degree in computer engineering, Computer Science, Data Analytics, or related field.

 3-4 years of experience in BI engineering or data analytics and advanced SQL Programming like PL/SQL.  Strong hands-on experience with Microsoft Power BI (including Power Query, DAX, dataflows, etc.).  In-depth knowledge of report design, development and maintenance, data extraction from DWH and cubes layer and dimensional data modeling concepts.  Strong hands-on experience with Python/Spark scripting and shell (Unix/Linux) scripting.  Familiarity with data warehousing concepts and cloud data platforms (Azure, Snowflake, etc.) and their services like Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Azure SQL DW/Synapse.  Excellent communication and stakeholder management skills with Strong analytical abilities.  Self-starter and motivated with ability to work in a fast-paced development environment.  Proficiency in the development environment, including IDE, database server, GIT, Continuous Integration, unit-testing tool, and defect management tools.Responsibilities:

* Design, develop, and deploy Power BI dashboards, reports, and data models. * Support and monitor the existing reports in maintenance with clear documentation. * Optimize DAX queries and Power BI performance for scalability and responsiveness. * Automate the existing reports by removing manual steps and adhere reporting best practices. * Supports in analyzing reports, admin activities, usage monitoring, and licensing costs optimization. * Write custom scripts to extract data from unstructured/semi-structured sources from data warehouse or BI Cubes or from Snowflake. * Skilled in dashboard deployment, report consolidation, and enhancing report usability for end users. * Work with data engineers to define and validate data from the data sources for Power BI consumption. * Collaborate with business stakeholders to define KPIs and build self-service BI tools. * Proactive and clear communication about the report status with the stakeholders. * Provide Power BI training, support, and up to date documentation for business users and conduct KT sessions for the junior resources to guide and mentor themPreferred Skills:

* Microsoft Certified: Data Analyst Associate or equivalent Power BI certification. * Hands-on experience with Microsoft Power BI (including Power Query, DAX, dataflows, etc.). * Basic understanding of reporting governance and Power BI administration. * Working Knowledge of Dev-Ops processes (CI/CD), Azure DevOps, Git/Jenkins version control tool, reporting and maintenance of BI reports and SQL scripting. * Hands-on experience in extracting data from databases like (Azure SQL DB, MySQL/, Cosmos DB etc.), SharePoint, Python/Unix shell Scripting. Technologies we use: Power BI, Databricks, Python, PySpark, Scripting (Power shell, Bash), Azure SQL DW/Synapse, Azure Tabular/Cubes, Azure DevOps, Git, Terraform, Snowflake

The role of a Data Engineer involves designing, developing, and maintaining robust data pipelines and systems to support analytics and decision-making in the manufacturing industry. This position is based in Pune and requires strong technical skills combined with a passion for working with data.