Senior Data Analyst

About Chubb
Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index.

Chubb employs approximately 40,000 people worldwide. Additional information can be found at:

About Chubb India
At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow
With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.
We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.

Position Details

Job Title:

Senior Data Analyst
Function/Department:
Technology

Location:

Hyderabad

Employment Type:

Full Time

Reports To:

Madhuri Tadepalli

Role Overview

Position Summary:

As a Senior technical role responsible for owning the design, development, and operational management of the enterprise data platform. The incumbent will lead the end-to-end delivery of data integration pipelines using Azure Data Factory (ADF) and Informatica, manage the cloud data warehouse on Snowflake or Azure Synapse, and drive the enterprise data modeling strategy across all business domains. In addition to the primary platform responsibilities, the role carries a secondary accountability for data stewardship — ensuring data quality standards, governance policies, and data definitions are established and upheld across the data platform in support of reliable and trustworthy data for the organisation.

Requirements
Candidate must possess at least a Bachelor’s Degree in Computer Science, Information Technology, Information Systems, or a related field
Minimum 7 years of working experience in data management, with at least 3 years in a senior or lead capacity covering data platform engineering, data warehousing, or data integration
Hands-on experience with Azure Data Factory (ADF) — designing, building, scheduling, and monitoring data integration pipelines; experience with ADF components including Linked Services, Datasets, Data Flows, Triggers, Integration Runtimes, and pipeline parameterisation
Experience troubleshooting ADF pipeline failures, optimising data flow performance, and implementing error handling and retry logic within ADF pipelines
Hands-on experience with Informatica Power Center or Informatica Intelligent Cloud Services (IICS) — designing, developing, and maintaining ETL mappings, workflows, and sessions; ability to build, enhance, and troubleshoot Informatica packages in a production environment
Strong expertise in data warehouse design and management — including dimensional modeling (star/snowflake schema), data vault methodology, and enterprise warehouse operations in production environments
Hands-on experience with cloud data warehouse platforms such as Snowflake, Azure Synapse Analytics, or Azure SQL Data Warehouse, including performance tuning, partitioning strategies, and cost optimisation

Experience with Azure Analysis Services (AAS) for building and managing tabular data models and data cubes to support enterprise BI and self-service analytics
Proven experience in data modeling strategy — developing and maintaining conceptual,…