Senior BI & Analytics Developer

Armanino

Senior BI & Analytics Developer at Armanino responsible for bridging analytics needs with data warehouse implementations. Involves hands-on data modeling, validation, and Power BI development.

Posted 6/26/2026full-timeSan Ramon • California • 🇺🇸 United StatesSenior💰 $103,300 - $161,800 per yearWebsite

Tech Stack

Tools & technologies

PySparkPythonSQL

About the role

Key responsibilities & impact

Serve as a technical bridge between analytics needs and warehouse implementation decisions, working closely with the Data Warehousing team to design and implement data models in Microsoft Fabric
Contribute directly to data model development (SQL / Python), building and maintaining Fabric notebooks for transformations, enrichment, and business logic
Validate data outputs, logic correctness, and alignment with business rules before models are surfaced for reporting
Design and maintain Power BI semantic models on top of curated Fabric tables, ensuring models follow best practices for schema design, reusability across reports, and clear metric definitions
Support the shift from reporting to insights, enabling enhanced and efficient self-service capabilities to end users
Act as an analytics partner to stakeholders submitting reporting and data requests, translating business questions into actionable information
Facilitate working sessions between stakeholders and technical teams to align on definitions, assumptions, and outputs
Follow and contribute to established modeling patterns, naming conventions, and governance standards
Use Git for version control, peer review, and controlled changes
Help test, validate, and document changes before they are released to production
Support continuous improvement of analytics processes, handoffs, and communication between teams

Requirements

What you’ll need

3–5+ years experience in analytics, BI, data engineering, or a related field
Strong hands on experience with:
Microsoft Fabric (Lakehouse/Warehouse, notebooks, pipelines)
Power BI (semantic models, datasets, basic DAX)
SQL (advanced querying, transformations, performance considerations)
Python for data transformation (ideally PySpark)
Solid understanding of:
Dimensional modeling
Fact vs dimension design
Slowly changing dimensions
Governance-friendly model design

Benefits

Comp & perks

Medical, dental, vision
Generous PTO plan and paid sick time
Flexible work arrangements
401K with Profit Sharing
Wellness program
Generous parental leave
11 paid holidays

ATS Keywords

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Hard Skills & Tools

SQLPythonDAXdimensional modelingfact vs dimension designslowly changing dimensionsdata transformationdata modelingdata validationdata enrichment

Soft Skills

communicationcollaborationstakeholder engagementproblem-solvingfacilitationanalytical thinkingattention to detailcontinuous improvementtranslating business needspeer review