Data Analytics jobs in India

This role involves managing end-to-end projects in Business Intelligence and Analytics, with a strong focus on technology. It includes collaborating with senior business leaders to prioritize immediate needs, plan future data pipelines and architecture, and oversee MIS and critical requests.

As a Data Analyst within our Data & Analytics Team, you will be a crucial partner to the business. Collaborating closely with our business teams across divisions, you will leverage data to drive strategic decision-making and optimize operational efficiency.

Job Description: looking for a talented and experienced Senior Data Engineer with a strong expertise in Snowflake to join our team. As a Senior Data Engineer, you will play a critical role in the development and optimisation of data systems, data pipelines, and ensuring seamless data transformations to support business intelligence and data-driven decisions.

You will build and mentor a team of data scientists and machine learning engineers, collaborating closely with cross-functional teams to integrate AI models and analytics tools into our ecosystem. This role involves driving innovation in how we use AI and machine learning to automate and optimize the organisation's strategies.

As the Director of Data Management, your role would focus on overseeing how data is collected, managed, and used within the organization to drive business insights, ensure data quality, and support strategic decision-making.

Seeking a highly skilled and motivated Data Engineer The ideal candidate will have strong expertise in Python, Apache Spark, Apache Flink, BigQuery, Google Cloud Dataproc/ Databricks, and Confluent Kafka. Will be responsible for designing, developing, and optimizing large-scale data processing systems, enabling real-time and batch data workflows to support business intelligence and advanced analytics.

The Sales Analyst will be responsible for analyzing sales data, forecasting future sales trends, and assisting the team in making data-driven decisions to optimize sales performance in the FMCG sector.

The Head of Collections for Secured Business is responsible for leading and managing the collections function for secured loan portfolios (such as home loans, auto loans, etc.). This role ensures effective recovery strategies, minimizes delinquency, and maintains regulatory compliance. It involves overseeing collections teams, setting performance targets, managing vendor relationships, and using data analytics to optimize recovery efforts.

This role involves leading the development and maintenance of client and custom applications, contributing to technology solutions in the commercial insurance value chain.

Positioned within the Data & Analytics division, the focus is on developing technology products for strategic clients Responsibilities include identifying, managing, and implementing digitization opportunities, and using data science to transform insurance experience.

The Data and AI Governance Leader, will play an integral role in orchestrating the governance council and ensuring compliance with governance policies in data, analytics, and AI. Their participation will be instrumental in defining a robust Data and AI Governance Framework, codifying organizational and industry policies into standards, procedures and technical controls ensuring effective, ethical, and legal use of Data & AI technologies

This position is responsible for to define and align analytics vision, manage execution of data initiatives, lead data talents, drive analytics maturity and ensure the business is powered by data solution. He/She will also facilitate analytics use-cases generation, lead selection and prioritization and oversee validation process. The position serves as an advisor to the leadership team.

Total Exp- 6+yearsKey Responsibilities:

• Develop and optimize ETL pipelines using PySpark and Databricks.
• Work with large-scale datasets and build distributed computing solutions.
• Design and implement data ingestion, transformation, and processing workflows.
• Write efficient and scalable Python code for data processing.
• Collaborate with data engineers, data scientists, and business teams to deliver insights.
• Optimize performance and cost efficiency for big data solutions.
• Implement best practices for CI/CD, testing, and automation in a cloud environment.
• Monitor job performance, troubleshooting failures, and tuning queries.

Required Skills & Qualifications:

• 6years of experience in Python programming for data engineering.
• Strong hands-on experience with Apache Spark (PySpark) for data transformation.
• Experience working with Databricks for data processing and analytics.
• Good knowledge of SQL and NoSQL databases.
• Experience with Cloud platforms (Azure, AWS, or GCP) and storage solutions.
• Familiarity with CI/CD pipelines, DevOps practices, and automation tools.
• Understanding of data lake, data warehouse, and data modeling concepts.
• Knowledge of job orchestration tools like Airflow, Azure Data Factory, or AWS Glue.
• Strong problem-solving and debugging skills in distributed environments.

Good to Have:

• Experience with Delta Lake and Lakehouse architecture.
• Familiarity with Kafka or real-time data processing.
• Knowledge of MLflow and integrating ML models in Databricks.
• Experience with Scala for Spark-based applications.

Leadership role in overseeing the company's analytics function. This individual will be responsible for developing and executing the data strategy, utilising advanced analytics and machine learning techniques to derive actionable insights that drive key business decisions and enhance product offerings. The role demands a combination of strategic thinking, technical expertise, and the ability to guide teams in leveraging data

As a Product Champion, you'll leverage your creativity, analytical abilities, and leadership from day one. Collaborate with skilled product managers, designers, and data engineers to create world-class analytics products that tackle major customer challenges and transform teamwork. This is an exciting chance to lead the analytics domain as a PM, shaping how companies engage with and connect their employees across the platform.