Data careers, screened by SQL, take-homes, and product sense.
Data science, ML engineering, analytics, and data engineering — résumés and interview guides written to the three loops that decide most data offers.
Data hiring is decided in three rounds: the SQL screen, the take-home, and the product-sense interview. Résumés that list tools ("Python, Spark, Airflow") get skimmed past; résumés that list decisions ("shipped the churn model that lifted retention 3.2 pts on 2M users") get callbacks. Marqee's data coverage is owned by Thomas Nakamura — four years as a data scientist at Netflix, four as analytics lead at Uber, four running the data-hiring bar at Databricks. Every guide here is written to the loops that actually decide.
What the data & analytics careers vertical actually covers
Data & Analytics Careers at Marqee spans 6 US Standard Occupational Classification codes — from individual-contributor roles through director and executive levels. The guides in this hub are written to how each role is actually screened, interviewed, and leveled by the employers that hire the largest volumes.
Every résumé example lists the ATS keywords a parser looks for. Every interview guide lists the loops actually run. Every salary guide lists the real US band, the levers a recruiter can move, and the levers they can't. That specificity is what separates a guide that helps from a guide that fills space.
Resume examples
7 guidesRole-specific resume examples with the responsibilities, tools, ATS keywords, and salary range that pass a screen.
Cover letter examples
5 guidesCover letters written to the exact hire this vertical actually screens for — not template mad-libs.
Interview questions
4 guidesQuestion banks and framework answers built to the loops this vertical actually runs.
Salary guides
5 guidesRealistic US ranges by role, level, and market — with the levers a recruiter can actually move.
How-to-become guides
5 guidesEntry-path guides — degrees, licenses, portfolios, and the first-role playbook by occupation.
Compare adjacent roles
1 guideHead-to-head breakdowns of two roles this vertical hires side by side — day-to-day, comp, and where the interview loops diverge.
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