Data Analyst Intern

• 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

• Python and pandas, or SQL, at a level where a 200k-row join with dirty keys isn't intimidating