Data Analyst Intern

Puck is an AI-powered talent attraction and screening platform that helps companies hire better candidates faster. The Data Analyst Intern will build and enrich a national dataset of licensed clinicians, resolve and assess data quality, model dataset economics, and support programmatic distribution and organic growth analysis.

What you'll do:

• File public records requests where data isn't published: draft the request, follow up, track status, escalate when needed
• Handle payment and fulfillment logistics for states that charge for records
• Maintain a source registry documenting provenance, refresh cadence, license terms, and known quality issues for every source
• Build and run a matching waterfall, in cost and confidence order
• Handle entity resolution and dedupe across sources with different name conventions, stale addresses, and partial identifiers
• Measure enrichment quality honestly
• Build the unit economics of the dataset: cost per enriched record by source and waterfall stage, marginal cost of each incremental quality tier
• Model a giveaway strategy and stress-test it against churn and conversion assumptions
• Recommend where enrichment spend has positive ROI and where it doesn't
• Design programmatic page related to our data set
• Do the keyword research behind them, build the page templates, and track what actually ranks
• Report on organic traffic and conversion from these pages

What they're looking for:

• Python and pandas, or SQL, at a level where a 200k-row join with dirty keys isn't intimidating
• Real spreadsheet modeling skill — you can build a unit-economics model with assumptions broken out and defensible
• High tolerance for administrative grind. A meaningful share of this job is polite persistence with government agencies
• Written clarity. You'll be drafting records requests and writing up findings for a small team that will act on them
• Judgment about data quality. We want someone who flags “this field looks filled but I don't trust it” rather than shipping it

Benefits:

• Hybrid work culture (1 day / week in the office).