Senior Business Analytics Developer - AI & BI Focus

5 - 8 years

7 - 10 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About the Team:

Our Data Analytics team empowers the business with trusted, accessible, and actionable data. We support self-service reporting, build scalable data models, and partner with stakeholders to optimize analytics solutions. Through strong governance and enablement, we drive data literacy, consistency, and strategic decision-making across sales, consulting, planning, and executive teams.

Business Analytics Developer

  • AI Agentic Model Development:

    Build intelligent agents using large language models (LLMs) to automate insights and enhance analytics.
  • Semantic Modeling Dashboard Design:

    Create optimized semantic layers and interactive dashboards using Power BI and Snowflake.

You ll collaborate cross-functionally to deliver scalable, high-impact solutions that improve efficiency, consistency, and business outcomes.

What you get to do in this role:

  • Translate business questions into scalable BI solutions in partnership with Sales Operations and Analytics teams.
  • Support and guide stakeholders in developing optimized reports and dashboards.
  • Design and maintain semantic models in Power BI and Snowflake for analytics and LLM integration.
  • Develop ETL/ELT pipelines to ensure data readiness and quality for self-service analytics.
  • Optimize Snowflake objects (SQL scripts, views, procedures, UDFs, tasks/streams) for performance and reliability.
  • Implement row-level security (RLS), incremental refresh, and performance tuning.
  • Conduct data quality checks, write unit tests, and contribute to documentation and runbooks.
  • Prepare enterprise data for LLM consumption with semantic models and prompt-friendly outputs.

To be successful in this role you have:

Required Qualifications:

  • 5-8 years in BI, analytics, or data engineering roles.
  • Strong SQL skills and hands-on experience with Snowflake.
  • Expertise in Power BI: DAX, Power Query, semantic modeling, RLS, and performance optimization.
  • Proficiency in Python for data manipulation and automation; familiarity with APIs and cloud-based analytics.
  • Strong Excel skills for quick analysis and collaboration.
  • Ability to explain technical concepts to non-technical audiences and produce clear documentation.
  • Detail-oriented with a growth mindset and openness to feedback.

Preferred Qualifications:

  • Experience with sales data (pipeline, bookings, CRM tools).
  • Familiarity with LLM integration and AI-driven analytics.
  • Experience with workflow orchestration tools and agile development.
  • Proven ability to rapidly prototype and iterate on analytics solutions.

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