Business Intelligence & AI Analyst

What you'll do:

Design, build, and maintain Power BI datasets, data models, and dashboards — not just visuals, but the relationships and measures underneath them
Understand and be able to explain how data flows from source systems through Azure Data Factory into Fabric and into Power BI, well enough to diagnose issues independently rather than escalating every anomaly
Partner with stakeholders across departments to gather requirements and translate them into technical specs
Own data accuracy and quality for reporting outputs — troubleshoot and resolve issues as they surface, not just flag them for someone else
Document data models, datasets, and reporting logic for team continuity and QA
Actively build AI into the daily workflow — using AI tools to draft queries, DAX/Power Query logic, and documentation, and proactively identifying where AI or automation can replace manual reporting steps — while independently validating correctness before anything reaches a stakeholder
Identify and build AI-powered automation for manual reporting workflows, expanding self-service analytics and offsetting capacity constraints without added headcount
Grow into Cin7’s broader Customer Operations systems over time — ChurnZero, Salesforce, ZenDesk — with training provided as needed. Not an immediate priority for this role, but baseline ChurnZero configuration is expected of every Customer Ops team member, given how central it is to the function.

What you'll bring:

Bachelor's degree in a relevant field (information systems, computer science, business analytics, or similar) — or demonstrated equivalent experience with a track record in BI-specific roles
2–3 years of hands-on Power BI experience: building datasets and data models, not just consuming or lightly editing existing dashboards — relationships, DAX measures, Power Query
Working knowledge of SQL, framed as a diagnostic/conceptual skill (reading and validating data, understanding joins/keys/grain) rather than daily production querying
Demonstrated ability to explain what data means and where it comes from, not just how to reproduce a report
AI-native fluency, demonstrated rather than claimed: able to build AI tools into daily BI workflows (query drafting, DAX/Power Query, documentation, automation), independently validate their output before it reaches a stakeholder, and bring a practical sense of what these tools are and aren't good at

It's a nice to have if you bring:

Direct exposure to Microsoft Fabric (lakehouses, dataflows) or Azure Data Factory
Experience owning a BI dataset/model end-to-end at a prior job, not just building on top of one someone else designed

In return, we offer:

Competitive benefits include medical, dental, vision, and a 401k company match program.

A flexible PTO policy, allowing you the time you need to recharge.

A diverse team, where everyone helps each other and inclusion is a core value.

Remote work flexibility allows you to maintain a work-life balance in a way that suits your needs.

Frequent company-sponsored events so you can get to know your coworkers.