Key Responsibilities
Design, implement, and optimize SQL queries and data models that support dashboards, reports, and ad hoc analysis.
Build and maintain scalable data pipelines integrating product usage, customer, and financial data sources, ensuring accuracy, completeness, and consistency across systems.
Conduct complex analyses to identify customer trends, behavioral patterns, and growth prospects, and translate them into clear strategic narratives that guide customer and executive decisions.
Partner with Customer Success, Solution Architects, and Product to uncover data-driven opportunities for adoption, expansion, and process improvement.
Provide analytical support for customer QBRs (Quarterly Business Reviews) and strategic planning; develop KPI frameworks and dashboards that quantify customer health and value realization.
Manage and optimize BI platforms (e.g., Looker, Tableau, Power BI), automate recurring reports, and design self-service data tools for non-technical stakeholders.
Partner with Data Engineering and Operations to ensure infrastructure supports analytical scalability.

Basic Qualifications




Bachelor's or Master's degree in Computer Science, Data Science, Business Analytics, or a related field.
36 years of experience as a BI Engineer, Data Analyst, or Analytics Engineer.
Advanced proficiency in SQL and familiarity with one or more data warehousing technologies (Snowflake, Redshift, BigQuery, or similar).
Experience with visualization tools (Looker, Tableau, Power BI, or similar).
Solid written communication skills — ability to author data-driven strategy documents for executive and customer audiences.
Proven ability to partner cross-functionally and translate complex findings into business outcomes.

Preferred Qualifications
Experience in SaaS, Customer Success analytics, or product usage analytics.
Experience building pipelines and models in a contemporary data stack (e.g., dbt, Airflow, or similar).
Familiarity with enterprise service operations or customer support analytics.
Experience designing KPI frameworks and value-realization metrics for enterprise customers.

📌 Business Intelligence Developer Bengaluru
🏢 Elbowcurve
📍 Bengaluru