HYDERABAD · FULLTIME
Business Intelligence Analyst
BPMLinks
Hyderabad · onsite · Posted 2d ago
Your match
Sign in to see your match score, skill gaps & tailored resume.
Section · 01
About this role
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. Interested candidates can apply or share a resume on jahanavi.kaudiki@bpmlinks.com
Sourced from linkedin · view original
Let the agent run this one for you.
Tailored resume, auto-apply, and referral lookup — in under 2 minutes.
Section · 02