GHX

Senior Technical Data Analyst

GHX

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $91,000 - $121,000 per year

Job Level

About the role

  • Lead deep dives on large datasets: frame the problem, define hypotheses and success metrics, apply appropriate statistical methods, validate assumptions, and quantify impact.
  • Use advanced SQL (Snowflake) to explore data, perform complex calculations, and validate results.
  • Author analytic specifications (logic definitions, business rules, transformation requirements, edge cases, test scenarios, data quality checks) for engineering handoff.
  • Identify and triage data quality and lineage issues; recommend remediation and guardrails.
  • Translate findings into clear narratives and recommendations for product, engineering, operations, and leadership.
  • Evaluate model or logic performance using sound statistical checks and sanity-testing.
  • Partner cross‑functionally (Product, Data Engineering, Data Science) and mentor analysts on patterns, definitions, and best practices.
  • Develop internal and potentially external BI dashboards to visualize analytical results.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Analytics, or related field (or equivalent experience).
  • 8+ years in an analytical role working with large, messy, real‑world datasets.
  • Mastery of SQL and strong experience in a cloud data warehouse (Snowflake preferred).
  • Solid understanding of statistical concepts (e.g., distributions, sampling, significance, variability, error checking) applied in analytical work.
  • Demonstrated ability to structure ambiguous problems and deliver actionable recommendations with measurable outcomes.
  • Exceptional written and verbal communication, including executive‑ready summaries and clear specs for engineering.
Benefits
  • health, vision, and dental insurance
  • accident and life insurance
  • 401(k) matching
  • paid time off
  • education reimbursement
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLstatistical methodsdata quality checksdata analysisdata visualizationhypothesis testingdata transformationdata lineagesanity testingbusiness rules
Soft Skills
problem structuringcommunicationmentoringcross-functional collaborationnarrative developmentrecommendation deliveryexecutive communicationanalytical thinkingattention to detailadaptability