We're looking for a hands-on BI & AI Engineer to join our Portfolio Management team in India. You'll own the full data-to-insight pipeline: building complex Power BI reports and Snowflake Dataflows that product and finance leadership rely on daily, and layering LLM-powered AI workflows on top to make that data conversational and actionable.

This is an individual contributor role for someone who can move comfortably between writing DAX, querying Snowflake, automating business processes in Power Automate, and shipping Python-based agentic workflows with the Anthropic API, all within the context of portfolio reporting, financial planning, and resource management.

About the role

In this opportunity, you will be responsible for:

Power BI & Data Reporting
- Design and maintain complex Power BI reports and dashboards for portfolio performance, financial actuals vs targets, and resource utilisation.
- Build and manage Power BI Dataflows and semantic models on top of Snowflake — owning the full stack from ingestion to published report.
- Write advanced DAX: calculation groups,



time intelligence, energetic measures, row-level security.
- Optimise report performance and maintain documentation and data lineage across the BI estate.

Data Engineering & Snowflake
- Query, transform, and model data in Snowflake — building clean fact/dimension structures that feed both BI reports and AI layers.
- Write production-quality SQL and Python to automate data pipelines, replace manual file-based refreshes, and maintain data quality checks.
- Integrate data from sources such as SharePoint, SAP, Workday, Fieldglass, and Azure DevOps into governed reporting layers.

AI & Agentic Workflow Development
- Build LLM-powered workflows using Claude (Anthropic API) and Claude Code enabling natural-language access to portfolio data, automated insight generation, and intelligent report summaries.
- Design and ship agentic pipelines that automate repetitive analysis tasks: data mapping maintenance, a

📌 Senior BI (Hyderabad)
🏢 Thomson Reuters
📍 Hyderabad