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Staff Data Analyst

1 month, 3 weeks ago
United States
Full-time
Lead
Data Analyst
Data Science and Analytics
dbt GCP Git NumPy Pandas Python Snowflake SQL
Apply Now
Facet

Facet

Facet provides unbiased, personalized, and affordable financial planning services for every facet of life. Their certified financial planners offer advice on financial planning, retirement planning, investing, and more. From starting a business to buyi...

Capital Markets
251-1K
$58M raised
View All Jobs 11

Description

  • Act as a strategic analytical partner to senior leadership and executive management.
  • Translate complex data findings into clear, leadership-level recommendations.
  • Proactively identify opportunities to improve business performance, efficiency, and value capture.
  • Conduct deep-dive exploratory data analysis in Jupyter Notebooks to diagnose trends and test hypotheses.
  • Build and maintain interactive reporting tools using Python, Streamlit, and BigQuery-connected Google Sheets.
  • Gather, clean, and model data from multiple sources using Python, SQL, and dbt.
  • Integrate secure AI-assisted tools and workflow automation to speed up analytical work.
  • Review SQL queries, Python scripts, and analytical methodologies to ensure quality and consistency.
  • Collaborate across business units to execute on analytical recommendations and strategy changes.

Requirements

  • 7+ years of experience in a highly analytical, decision science, or advanced business intelligence role.
  • Proven experience influencing senior management and executive decision-making.
  • Outstanding stakeholder management skills with the ability to advise, challenge, and collaborate with cross-functional leaders.
  • Proficiency with Python for data manipulation, visualization, and building lightweight data applications, including Pandas, NumPy, and Streamlit.
  • Proficiency with SQL and dbt for data modeling, plus experience with cloud data warehouses such as BigQuery or Snowflake.
  • Expert-level experience using Jupyter Notebooks for exploratory data analysis and statistical validation.
  • Experience using modern, secure AI tools and developer workflow automation to accelerate coding, debugging, and analytics.
  • Experience leveraging Google Sheets connected directly to cloud data warehouses for business-facing reporting.
  • Strong understanding of consumer tech business metrics such as LTV, retention, CAC, ARR, margin, and cohort analysis.
  • Familiarity with secure data handling and customer data privacy best practices.
  • Proven ability to translate business problems into analytical approaches that drive measurable outcomes.
  • Prior experience using Git for version control and code collaboration.
  • Prior experience in financial planning, fintech, or consumer technology is preferred.

Benefits

  • Competitive compensation of $170,000 - $200,000 base salary plus bonus.
  • Equity ownership in a rapidly growing company.
  • Remote-first culture with the flexibility to work from anywhere in the U.S.
  • Flexible paid time off (PTO).
  • Medical, dental, and vision insurance.
  • 401(k) match.
  • Disability coverage and paid parental leave.
  • Wellness reimbursement and education reimbursement programs.

Interested in this position?

Apply directly on the company website

Apply Now

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