Business Intelligence Analyst

BPMLinks; Hyderabad; Hybrid; INR 1,800,000 - 2,800,000; Full time

Job summary

BPMLinks is seeking a Senior BI Engineer to own analytic delivery from data modeling to Power BI reports embedded in client applications.

You will balance hands-on development with consulting, communicating with stakeholders and guiding priorities while ensuring production-grade quality and security.

Qualifications

• 5+ years of hands-on BI/analytics engineering experience with a strong Power BI focus.
• Expert-level DAX and Power Query / M to write, optimize, and debug complex measures.
• Strong data modeling fundamentals (star schema, relationships, cardinality).
• Experience with row-level security and embedding in client apps.
• Advanced SQL and experience with a cloud data warehouse (Snowflake preferred).
• Python for data work, API integration, and automation.

Responsibilities

• Own end-to-end analytics delivery from data modeling to Power BI reporting.
• Build reports, engineer behind-the-scenes data, and ensure secure production-grade outputs.
• Interact with client stakeholders to align priorities and communicate progress.
• Troubleshoot data, model, security, and source-system issues to root causes.

Skills

BI analytics

Client-facing communication

Data modeling

Row-level security debugging

Troubleshooting data issues

Problem solving

Tools

Power BI

DAX

Power Query / M

SQL

Snowflake

Python

Job description

Senior Business Intelligence Engineer (Power BI)

Experience level: 5+ years

Function: Data & Analytics / Business Intelligence

Engagement type: Client-facing delivery (consulting / embedded analytics)

About the Role

We're looking for a Senior BI Engineer who can own the full lifecycle of analytics delivery, from data modeling in the warehouse through to polished, secure, production-grade Power BI reporting embedded in client-facing applications. This is a hybrid technical and consultative role. You'll build the reports, engineer the data behind them, and communicate directly with client stakeholders about priorities, trade-offs, and progress.

You'll work on a mature analytics program spanning executive dashboards, member/partner performance reporting, geospatial analytics, embedded portal analytics, and emerging AI-driven conversational analytics. The right person is equally comfortable debugging a row-level security conflict in DAX, tuning a Snowflake view, and explaining a data limitation to a non-technical business owner in plain language.

Must-Have Qualifications

• 5+ years of hands-on BI/analytics engineering experience, with a strong concentration in Power BI.
• Expert-level DAX and Power Query / M, able to write, optimize, and debug complex measures and transformations.
• Strong data modeling fundamentals (star schema, relationships, cardinality, and their impact on report behavior).
• Deep, practical experience with row-level security in Power BI and its edge cases around export and embedding.
• Advanced SQL (required) and solid experience with a cloud data warehouse. Snowflake strongly preferred (or Redshift/BigQuery/Synapse with willingness to ramp on Snowflake).
• Python (required) for data work, including API integration, data prep/transformation, notebook-based workflows, and automation/scripting.
• Solid grasp of data warehousing and ELT/ETL concepts and best practices.
• Discipline around data validation, QA, and testing, plus awareness of data governance and sensitive/PII handling.
• Experience delivering in a client-facing or stakeholder-facing capacity: gathering requirements, managing expectations, and explaining technical concepts to non-technical audiences.
• Strong troubleshooting instincts, able to trace a reporting symptom back to a root cause in the data, the model, the security layer, or the source system.
• Clear written and verbal communication; comfortable owning updates and coordinating across a delivery team.