Senior Lead Analyst - Data Management and Modelling
Thomson Reuters (company site, opens in a new tab)BengaluruHybridDirect career pageEst. 20–35 LPA
Posted 3d ago
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Job description
Structured overview of role & requirements
About This Role
- Design and develop scalable data pipelines, ELT/ETL workflows, and governed semantic models for Finance systems modernization using cloud-native technologies like Microsoft Fabric, Snowflake, and dbt.
- Lead migration of legacy reporting to cloud analytics platforms and develop AI-ready data foundations enabling analytics with Generative AI and Large Language Models.
- Collaborate with business and cross-functional teams to translate reporting needs into scalable data structures ensuring compliance with data governance and enterprise policies.
Minimum Requirements
- Strong experience with Microsoft Fabric, Power BI, Snowflake, dbt, advanced SQL, and data engineering tools like Python or Spark.
- Proven skills in data warehousing, data lakes, Lakehouse architectures, dimensional modeling, and building enterprise semantic models for Finance data domains.
- Experience integrating data from ERP or operational systems and developing scalable data pipelines and transformation processes.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Practitioner with demonstrated ability to lead Finance data modernization and cloud analytics platform migration initiatives in complex enterprise environments.
- Experienced in applying AI-enabled analytics, including Generative AI and integration of Large Language Model capabilities into financial reporting.
- Strong at converting business requirements into technical data solutions, with a focus on data governance, scalability, and cross-team collaboration.