Senior BI & Analytics Developer

Armanino LLP•Atlanta, GA

1d•$103,300 - $161,800

About The Position

At Armanino, you determine your career path. This means it's possible to pursue challenges you are passionate about, in industries you care about. Armanino is proud to be Among the top 20 Largest Accounting and Consulting Firms in the Nation and one of the Best Places to Work. We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network. We want you to integrate all aspects of your life with your career. At Armanino, we know you don’t check-out of life when you check-in at work. That’s why we’ve created a unique work environment where your passions, work, and family & friends can overlap. We want to help you achieve growth by giving you access to a network of smart and supportive people, willing to listen to your ideas.

Requirements

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

Responsibilities

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
Partner on refresh sequencing, dependencies, and data readiness for analytics consumption
Design and maintain Power BI semantic models on top of curated Fabric tables, ensuring models follow best practices for: Schema design, Reusability across reports, Clear metric definitions and transparency
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