BI Analyst

Dragos

1d•Remote

About The Position

We're seeking a BI Analyst to support the reporting infrastructure our teams depend on to make decisions. In this role, you'll support teams across the organization by helping build tailored dashboards, running ad-hoc analyses, and maintaining the automation workflows that keep manual reporting to a minimum. As we actively deploy AI tools, you'll also assist in validating those outputs to ensure they're accurate and decision-ready. We're looking for an early-career analyst with a quality-first mindset and genuine curiosity about AI — someone eager to learn the full data pipeline, grow their skills within a collaborative team, and contribute to an environment where analytics are trusted, adopted, and continuously improving.

Requirements

1–3 years in data analytics, business intelligence, or revenue/sales operations.
Hands-on experience with Power BI or a comparable BI platform.
Working knowledge of Salesforce data structures — you don't need to be an admin, but you need to know how objects relate.
Comfort moving across Excel, semantic models, and workflow tools.
A quality-first mindset: you notice when something's off and you don't let it slide.
Genuine curiosity about AI — you've experimented with AI tools, you have opinions about them, and you want to work somewhere that's building with them, not just talking about them.

Responsibilities

Own the reliability of our Power BI reporting layer — pages, fields, filters, drill-throughs, and visual logic — and make it better over time, not just stable.
Diagnose data issues end-to-end: from Salesforce object structures through dataflows, the lakehouse, and into the reporting surface.
Re-certify reports after schema or system changes; build QA habits that prevent issues before stakeholders find them.
Configure and maintain Power Automate workflows; propose automations where manual steps shouldn't exist.
Run ad-hoc analyses using semantic models, cubes, and Excel for requests that outpace what's in the warehouse today.
Build team-specific dashboards and data models for functional leaders who need tailored visibility, not one-size-fits-all reporting.
Validate AI agent outputs — we're actively deploying AI-assisted data tools, and you'll play a key role in ensuring those outputs are accurate and decision-ready.