Staff Data Analyst

Facet

About the Company

Job Description

Required Skills

Key Responsibilities

• Act as a direct analytical partner and trusted strategic advisor to senior leadership and executive management.
• Translate complex data findings into clear, leadership-level recommendations and partner across business units to drive strategic changes.
• Proactively identify opportunities to optimize business performance, increase efficiency, and capture untapped value.
• Perform deep-dive Exploratory Data Analysis (EDA) using Jupyter Notebooks to diagnose business trends, test hypotheses, and discover hidden data relationships.
• Build and maintain streamlined, interactive data tools using Python and Streamlit, and design high-impact, BigQuery-connected Google Sheets for self-service data.
• Actively integrate modern AI assistant technologies and secure automation practices into daily analytics workflows to accelerate code generation, optimize SQL queries, and automate repetitive data exploration tasks.
• Gather, clean, and model data from various sources using optimized Python, SQL, and dbt, ensuring absolute consistency and accuracy.
• Participate in peer reviews of SQL queries, Python scripts, and analytical methodologies to maintain high standards of analytical output quality.

Qualifications

• 7+ years of experience in a highly analytical, decision science, or advanced business intelligence role, with a proven track record of directly influencing senior management and executive decision-making.
• Outstanding stakeholder management skills with the ability to confidently advise, challenge, and collaborate with cross-functional leaders.
• Proficiency with Python, specifically for data manipulation (Pandas, Numpy), visualization, and building lightweight data applications (Streamlit).
• Proficiency with SQL and dbt for data modeling, and experience with cloud data warehouse solutions (such as BigQuery or Snowflake).
• Expert-level experience using Jupyter Notebooks for structured, exploratory data analysis and statistical validation.
• Demonstrated experience using modern, secure AI tools and developer workflow automation to optimize and accelerate day-to-day coding, debugging, and analytical tasks.
• Experience leveraging Google Sheets connected directly to cloud data warehouses for business-facing reporting.
• Strong understanding of core consumer tech businesses and key metrics (LTV, retention, CAC, ARR, margin, cohort analysis).
• Familiarity with best practices in secure data handling and customer data privacy.
• Proven record of identifying a business problem or opportunity, translating it into an analytical approach, and driving it to a measurable business outcome.
• Prior experience using version control (Git) to collaborate and share code.
• Preferred: Prior experience in the financial planning, fintech, or consumer technology industry.

Benefits & Perks

• Competitive Compensation: $170,000 - $200,000 base salary + bonus.
• Ownership: Equity in a rapidly growing company on the path to becoming the "Next Great Financial Services Company".
• Flexibility: Remote-first culture—work from anywhere in the U.S.
• Time Off: Flexible Paid Time Off (PTO).
• Comprehensive Benefits and Perks: Medical, dental, vision, 401(k) match, disability, paid parental leave, wellness reimbursement, and education reimbursement programs.

How to Apply

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Posted Date

July 16, 2026