Robert Half is looking for a BI Dashboard Engineer to support and enhance a growing reporting environment for our client based in Santa Clara, California. This autonomous, highly technical BI Contractor will own and maintain our data reporting ecosystem. The ideal candidate brings expert-level Sigma/ Tableau or BI dashboarding proficiency, hands-on experience in the SaaS/Product space, and the capability to drive projects independently from ambiguous business questions to fully realized data solutions.This is a hybrid role in Santa Clara, CA.
If available and interested, please apply to the job post with your updated resume for Suman Sandhu to review.
Key Responsibilities
- Sigma Dashboard Development: Design, build, and optimize complex, highly dynamic workbooks, datasets, and visualizations using Sigma Computing as the primary BI interface.
- Requirements Gathering: Partner directly with cross-functional stakeholders to translate vague, loosely defined business problems into clear technical data specifications and metrics.
- Troubleshooting & Performance Tuning: Diagnose, debug, and resolve BI dashboard errors, broken pipelines, logic discrepancies, and query performance bottlenecks.
- Autonomous Execution: Take full end-to-end ownership of data deliverables with minimal supervision, navigating ambiguity to deliver reliable, production-ready solutions.
Technical Requirements & Qualifications
- Sigma Expertise (Required): Advanced proficiency in Sigma Computingincluding complex calculations, dynamic parameters, warehouse integration, and scalable workbook design.
- SaaS / Product Analytics Domain: 4+ years of hands-on experience analyzing core product/SaaS metrics (e.g. Usage analytics, churn, retention, user engagement, funnel conversion).
- SQL: Working knowledge of SQL and ability to debug data models in dbt and Snowflake.
- Modern Data Stack: Familiarity with modern data architectures feeding into Sigma (e.g., Snowflake, dbt, BigQuery).
- Problem Solving & Communication: Strong capability to gather stakeholder inputs, articulate technical trade-offs, and deliver concise actionable insights to both technical and business audiences.
