Senior Business Analytics Engineer - India
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Job Description
Structured overview of role & requirementsAbout This Role
Own and develop dbt transformation models and semantic-layer metric definitions for revenue metrics across Sales, Finance, Fund Admin, and leadership teams.
Translate business questions into precise technical requirements to support data accuracy from quote to recognized revenue, ensuring alignment with Finance close.
Build AI-assisted reporting layers and self-serve dashboards enabling stakeholders and AI agents to access certified, trustworthy revenue data.
Minimum Requirements
5+ years in analytics engineering, data engineering, or business intelligence with at least 2 years owning dbt models in production.
Expert SQL skills including window functions, CTEs, and performance tuning.
Experience with semantic layer tools (e.g., dbt Semantic Layer, LookML, Cube) and cloud data warehouses (Redshift, Snowflake, BigQuery).
Work Experience Required: 5+ years in relevant data roles; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Proficient in revenue metrics specific to recurring revenue models (ARR, CARR, backlog, churn) and their integration with billing and revenue recognition processes.
Experienced in working directly with US-based Finance and business stakeholders, able to manage cross-timezone collaboration.
Comfortable building AI-ready data products and applying governance controls related to financial and customer data within compliance frameworks like SOX and SOC 2.