Business Intelligence Developer

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.