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    Job · 15186881

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    Business Intelligence Analyst

    BPMLinks · Hyderabad · onsite · Posted 50d ago

    Not disclosed5–7 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    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 [HIDDEN TEXT]

    Sourced from foundit

    Skills

    daxSynapseredshiftbigqueryPower Query MPythonPower BiSQLSnowflake

    Business Intelligence Analyst · waiting for your command