Data Analyst (WFH)

Facet is seeking a Staff Data Analyst to provide high-impact analytical insights that help operations, product, and leadership teams maximize business performance. As part of the Data Science & Analytics team, this role will focus on modeling, understanding, and optimizing growth, margin, and retention initiatives.

This is a strategic analytics role rather than a traditional BI or dashboard-building position. The Staff Data Analyst will partner directly with senior leadership and executive management, conduct deep-dive analysis, build lightweight reporting tools, identify business opportunities, and translate complex analytical findings into clear business recommendations.

Key Responsibilities

• Act as a trusted analytical advisor to senior leadership and executive management.

• Translate complex data findings into clear, actionable recommendations.

• Partner with cross-functional teams to influence business strategy and execution.

• Proactively identify opportunities to optimize performance, improve efficiency, and capture business value.

• Conduct deep-dive Exploratory Data Analysis (EDA) using Jupyter Notebooks.

• Diagnose business trends, test hypotheses, and identify relationships within data.

• Build and maintain interactive data applications using Python and Streamlit.

• Develop high-impact Google Sheets connected to BigQuery for business-facing and self-service reporting.

• Integrate modern, secure AI-assisted tools and 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 analytical data and outputs are accurate and consistent.

• Participate in peer reviews of SQL queries, Python scripts, and analytical methodologies.

• Maintain high standards for analytical quality and data integrity.

• 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 with Python, including Pandas and NumPy, for data manipulation, visualization, and lightweight application development with Streamlit.

• Proficiency with SQL and dbt for data modeling.

• Experience with cloud data warehouses 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 for coding, debugging, and analytical tasks.

• Experience using Google Sheets connected directly to cloud data warehouses for business-facing reporting.

• Strong understanding of consumer technology businesses and key 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 using Git for version control, collaboration, and code sharing.

Preferred Qualifications

• Prior experience in financial planning, fintech, or consumer technology.

Skills & Competencies

• Data analysis and exploratory data analysis

• Python, Pandas, and NumPy

• SQL and dbt

• BigQuery or Snowflake

• Jupyter Notebooks

• Streamlit

• Google Sheets and cloud data reporting

• AI-assisted analytics and workflow automation

• Statistical validation

• Business intelligence and decision science

• Stakeholder management

• Strategic advisory

• Business problem-solving

• Cross-functional collaboration

• Data modeling and quality

• Git and version control

• Secure data handling and customer data privacy

Education & Experience

Education: Not specified.

Experience: 7+ years in a highly analytical, decision science, or advanced business intelligence role, including experience influencing senior management and executive decision-making.

Work Arrangement & Schedule