BI Engineer / Santa Clara, California

Stellent IT LLC

Santa Clara (CA)

Hybrid

USD 83,000 - 124,000

Full time

14 days+
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Job summary

Stellent IT LLC in Santa Clara, CA seeks an autonomous BI Contractor with Sigma Computing expertise to own and maintain our data reporting ecosystem. You will design and optimize Sigma dashboards and datasets, translating ambiguous business questions into precise data solutions.

Ideal candidates have 4+ years in SaaS analytics, strong SQL, and experience with Snowflake/dbt. You will engage stakeholders in Pacific Time, troubleshoot performance issues, and deliver production-ready dashboards with

Qualifications

  • 4+ years of hands-on SaaS/product analytics experience.
  • Advanced Sigma Computing proficiency including complex calculations and dashboards.
  • Strong SQL skills and ability to debug data models in dbt and Snowflake.
  • Familiarity with Snowflake, dbt, and BigQuery within a modern data stack.

Responsibilities

  • Sigma Dashboard Development: design, build, and optimize Sigma workbooks and visualizations.
  • Requirements Gathering: translate business problems into technical data specs.
  • Troubleshooting & Performance Tuning: diagnose and fix dashboard issues and bottlenecks.
  • Autonomous Execution: deliver production-ready data solutions with minimal supervision.

Skills

Sigma Expertise
SaaS Analytics
SQL
Modern Data Stack
Communication

Tools

Sigma Computing
dbt
Snowflake
Tableau
Power BI

Job description

Job Title:- BI Engineer
Location:- Santa Clara, California (Hybrid)
Duration: 3-6-month contract (someone on maternity leave)
Process: 2-3 -interviews
Visa Status: Prefer GC or USC. Genuine candidates only. Contract
Notes from Manager: See notes below

Success/Likes for candidate work independent, ambiguity, technical aspect of role.

Ankit Jain leads BI team, been there for a year. Shaping the direction.

Has a maternity leave taking place. No contractors on team. This will allow him to hire. Has hired contractors in the past. More on technical side. Has a data engineering team, really wants independent.

Wants someone good with Dashboarding, independent,

Talk to stakeholders, couple of VPs of product will be stakeholders, requirements gathering, troubleshooting. All stakeholders in Pacific Time zone.

SQL, Dashboarding, manage stakeholders talk to them, gather requirements. URGENT NEED. Has someone leaving from India team. Start in 2-weeks, knowledge transfer. Sigma dashboard, tableau/powerbi/looker.

Mostly debugging, z-models,

Product and customer success.

Domain knowledge not much on product. Enterprise software, SaaS would be ideal or enterprise software. DON'T NEED BACKUP SECURITY.

Role Overview:

We are seeking an autonomous, highly technical BI Contractor to 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.

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 Computing-including 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.

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