Your product is bleeding users. Marketing swears the campaign worked. Sales is asking for another dashboard. You need someone who can separate signal from spreadsheet.
Data’s only useful if it’s correct. Our analysts know how to audit sources, trace metrics back to event fires and DB rows, and flag KPIs that don’t actually mean anything.
“What’s causing churn?” “Why did sales dip?” “Is this feature doing anything?” They’ll dig in, slice it six ways, and come back with a slide deck and a working SQL file.
No more stale charts, broken filters, or dashboards that require a tour guide. Clean UX, tight definitions, and alerts that don’t cry wolf.
Track cohort retention, funnel drop-off, A/B test performance, feature adoption, and usage by segment. All with versioned queries and explainable metrics.
Visualize conversion by device, map return behavior by SKU, and actually trust your inventory and promo code data.
HIPAA-safe reporting pipelines, patient behavior metrics, and analyst-vetted dashboards that help clinicians and admins make real decisions.
Clean, auditable analysis of transactions, risk indicators, and compliance logs, plus data pipelines that pass scrutiny from legal and engineering.
Pulls reports, builds dashboards, and helps QA data pipelines. Can follow logic, ask smart questions, and clean messy spreadsheets without crying.
1-2 years of experience
Owns metrics, works directly with stakeholders, builds reliable reporting tools, and isn’t afraid of large joins or legacy ETL jobs.
3-5 years of experience
Designs the metrics layer, unifies conflicting definitions, and translates chaos into dashboards people actually use.
5+ years of experience
Manages the full analytics stack. Interfaces with engineering, owns roadmap, and makes sure your data isn’t just pretty, it’s useful.
7+ years of experience



Yes, and they’re good at it. Whether it’s a data lake no one understands or marketing events that log inconsistently, they’ll make sense of it.
SQL (Postgres, BigQuery, Redshift), Excel (obviously), Looker, Tableau, dbt, Python (for some), and whatever else your stack requires. We match by tools and problem type.
Both. Many of our analysts come from roles where they had to build metrics from scratch, explain them to five teams, and defend them at quarterly reviews.
Absolutely. Great analysts know how to ask “what are you trying to measure?” and how to deliver actionable insights.
We’ll work quickly to find a replacement or adjust the talent profile until we get the right match at no extra cost.
You shouldn’t need five dashboards and a PhD to figure out what happened last week. Hire someone who turns tangled data into “oh, now that makes sense.”
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