You turn raw data into reports people actually look at. Not the kind of dashboard that gets opened once during onboarding and never again. The kind where the numbers are trusted, the layout makes sense, and somebody can answer their own question without filing a ticket.
What you'll work on
You build the analytics layer on top of client data: semantic models, Power BI reports, Microsoft Fabric workspaces, the occasional Python or SQL transformation when the source data needs help. You work with stakeholders to understand what they're actually trying to decide, then build the report that gets them there.
The work is part data modelling, part visual design, part stakeholder management. We do all three.
What you bring
Strong DAX and Power Query. Comfortable in SQL. Solid grasp of dimensional modelling (star schemas, calculation groups, row-level security). Hands-on experience with Power BI Service and ideally Microsoft Fabric (Lakehouses, Dataflows, Pipelines, OneLake). An eye for visualisation that's clear without being clever for clever's sake.
A baseline of coding skills and architectural thinking helps. You don't have to be a software engineer, but you should know what a clean codebase looks like and care about repeatability.
How we work
We code as agentically as we can. Claude Code, Cursor, Copilot, whichever tool fits. Reports too: AI helps draft DAX measures, transformations, semantic model documentation. If you already work that way, great. If you don't yet, you'll pick it up here.
The goal is always something your client can extend on their own. We build for adoption, not lock-in.
What you'll get
Real growth, real ownership, and a team that geeks out about good data modelling without making it weird. Personal growth plan. Challenging work across industries. Competitive pay.
Read the Plainsight playbook for the longer version of how we work.