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Principal Data Analyst

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: Figure
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 198000 USD Yearly USD 198000.00 YEAR
Job Description & How to Apply Below

Why consider this job opportunity:

  • Salary up to $198,000 per year
  • 25% annual bonus target, paid quarterly
  • Comprehensive health, vision, and dental insurance with 100% employer‑paid premiums for employees and their dependents on select plans
  • Opportunity for continuing education reimbursement
  • Up to 12 weeks paid family leave
  • Collaborative work environment with a focus on innovation and data‑driven decision‑making
What to Expect (Job Responsibilities):
  • Act as the analytics lead for Credit/Risk and Capital Markets, guiding decision‑making through data‑driven insights
  • Partner with cross‑functional leaders to shape and answer key business questions through analysis and storytelling
  • Design and maintain robust Tableau dashboards that translate data into actionable narratives
  • Write and optimize Big Query SQL to extract, transform, and analyze large‑scale datasets
  • Develop analytical frameworks and models that support risk forecasting, pricing strategies, and portfolio performance
What is Required (Qualifications):
  • 7+ years of experience using data to drive measurable business impact
  • Deep proficiency in SQL (preferably Big Query) and expertise with complex joins, subqueries, and recursive logic
  • Advanced experience with Tableau; ability to build influential dashboards
  • Strong understanding of risk modeling, credit analytics, or capital markets data structures
  • Proven experience in fintech or financial services environments
How to Stand Out (Preferred Qualifications):
  • Experience supporting product analytics or growth initiatives
  • A passion for problem‑solving; curiosity about metrics and their behaviors
  • Working knowledge of Python for data manipulation, automation, or modeling
  • Appreciation for statistical concepts like causal inference, bias detection, and experimental design
  • Comfort navigating ambiguity and setting analytical direction in fast‑moving environments
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