Business Intelligence Developer

Elbowcurve; Delhi; On-site; INR 1,400,000 - 2,600,000; Full time

Job summary

Elbowcurve in Delhi seeks a BI Engineer/Data Analyst to design, implement, and optimize SQL queries and data models supporting dashboards, reports, and ad hoc analysis. You will build scalable data pipelines and ensure data integrity across systems.

Collaborate with Customer Success, Solution Architects, and Product to uncover data-driven opportunities for adoption and growth. You will manage BI platforms like Looker, Tableau, and Power BI, and develop KPI frameworks for customer health and

Qualifications

• Bachelor's or Master's degree in CS, DS, analytics or related field.
• 3–6 years of experience as BI Engineer, Data Analyst, or Analytics Engineer.
• Advanced SQL skills and familiarity with data warehousing (Snowflake, Redshift, BigQuery).

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 opportunities, 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.

Skills

SQL

Data modeling

Data visualization

Looker

Tableau

Power BI

Communication

Education

Bachelor's or Master's degree in CS/DS/Analytics

Tools

Looker

Tableau

Power BI

Job description

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 opportunities, 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.
• 3-6 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).
• Strong 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 modern 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.