Note: The job is a remote job and is open to candidates in USA. Facet is a financial advisory firm founded in 2016, dedicated to providing personalized financial advice. The Staff Data Analyst will lead efforts to provide high-impact insights for business performance, collaborating with operations, product, and leadership teams to optimize growth and retention initiatives.
Responsibilities
- Act as a direct analytical partner to senior leadership and executive management
- Proactively hunt for 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 complex hypotheses, and discover hidden relationships in our data
- Build and maintain streamlined, interactive data tools using Python and Streamlit, and design high-impact, BigQuery-connected Google Sheets to deliver self-service data directly into the workflows of business leaders
- Actively integrate modern AI assistant technologies and secure automation practices into your day-to-day analytics workflows
- Gather, clean, and model data from various sources using optimized Python, SQL, and dbt, ensuring absolute consistency and accuracy
- Ensure the integrity of our analytical output
Skills
- 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 the metrics that matter to them, including: LTV, retention, CAC, ARR, margin, and cohort analysis
- Familiar 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
- Prior experience in the financial planning, fintech, or consumer technology industry
Benefits
- Equity in a rapidly growing company on the path to becoming the "Next Great Financial Services Company"
- Remote-first culture—work from anywhere in the U.S.
- 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.
Company Overview