Data Analyst (Remote Work)

## About the Role Facet was founded in 2016 with a mission to empower people to live more enriched lives through objective, personalized financial advice. The company provides holistic financial planning that goes beyond investments, combining the expertise of CFP® professionals with AI and automation through a human-plus-tech approach. As a Staff Data Analyst, you will be a high-impact analytical partner to Facet's operations, product, and leadership teams. You will work within the Data Science & Analytics team to model, understand, and optimize business initiatives across growth, margin, and retention. This is not a traditional BI or dashboard-focused role. You will work closely with executive management and senior leadership, using Python, SQL, exploratory data analysis, statistical validation, data modeling, AI-assisted analytics, and workflow automation to turn complex business questions into actionable strategic recommendations. ## Key Responsibilities Act as a trusted strategic advisor to senior leadership and executive management, translating complex analytical findings into clear recommendations. Partner across business units to use data and analytics to influence business strategy and decision-making. Proactively identify opportunities to optimize business performance, improve efficiency, and capture untapped value. Perform deep-dive Exploratory Data Analysis (EDA) using Jupyter Notebooks to diagnose business trends, test hypotheses, and identify relationships in data. Build streamlined, interactive analytical tools using Python and Streamlit. Develop high-impact, BigQuery-connected Google Sheets for self-service reporting and business-facing analytics. Integrate modern AI assistant technologies and secure workflow automation into analytics processes. Use AI-assisted tools to accelerate code generation, SQL optimization, debugging, and repetitive data exploration tasks. Gather, clean, and model data from multiple sources using Python, SQL, and dbt. Ensure data consistency, analytical accuracy, and quality across reporting and analytical outputs. Participate in peer reviews of SQL queries, Python scripts, and analytical methodologies. Identify business problems and opportunities, translate them into analytical approaches, and drive them toward measurable business outcomes. ## Required Qualifications 7+ years of experience in a highly analytical, decision science, or advanced business intelligence role. Proven track record of directly influencing senior management and executive decision-making. Outstanding stakeholder management skills with the ability to advise, challenge, and collaborate with cross-functional leaders. Proficiency in Python for data manipulation, visualization, and lightweight data application development. Experience with Pandas, NumPy, and Streamlit. Proficiency with SQL and dbt for data modeling. Experience with cloud data warehouse technologies such as BigQuery or Snowflake. Expert-level experience using Jupyter Notebooks for structured exploratory data analysis and statistical validation. Experience using modern, secure AI tools and developer workflow automation to improve coding, debugging, and analytical processes. Experience using Google Sheets connected directly to cloud data warehouses for business-facing reporting. Strong understanding of consumer technology business metrics, including LTV, retention, CAC, ARR, margin, and cohort analysis. Familiarity with secure data handling and customer data privacy best practices. Proven ability to identify a business problem or opportunity, develop an analytical approach, and drive it toward a measurable business outcome. Experience with Git and version control for collaborating and sharing code. ## Technical Skills Python Pandas NumPy SQL dbt Streamlit Jupyter Notebooks BigQuery Snowflake Google Sheets Git Data Modeling Exploratory Data Analysis (EDA) Statistical Validation Data Visualization Workflow Automation AI-Assisted Development Business Intelligence Strategic Analytics ## Business & Analytics Expertise Experience and understanding across areas such as: Growth analytics Margin analysis Customer retention Lifetime Value (LTV) Customer Acquisition Cost (CAC) Annual Recurring Revenue (ARR) Cohort analysis Business performance optimization Decision science Executive-level analytics Strategic decision support ## Preferred Qualifications Prior experience in financial planning, fintech, or consumer technology. ## Work Arrangement Facet operates with a remote-first culture, with this position available to work remotely from anywhere in the United States. ## Compensation & Benefits Base salary: $170,000–$200,000 Bonus Equity Flexible Paid Time Off (PTO) Medical insurance Dental insurance Vision insurance 401(k) match Disability benefits Paid parental leave Wellness reimbursement Education reimbursement ## About Facet Facet combines financial planning expertise with technology, AI, and automation to deliver personalized, holistic financial advice without asset minimums. The company's approach integrates financial guidance across its members' broader financial picture through a human-plus-tech model. ## Apply Now If you have 7+ years of advanced analytics, decision science, or business intelligence experience and can combine Python, SQL, dbt, Jupyter, Streamlit, cloud data warehouses, AI-assisted workflows, and strategic business analysis to influence executive decision-making, apply now for the Staff Data Analyst opportunity at Facet.