# Staff Data Analyst
## About the Role
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.
## 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 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
Work Arrangement: Remote
Remote Location: Remote-first; work from anywhere in the U.S.
Listed Location: High Point, NC, US
Employment Type: Not specified
Schedule: Not specified
## Compensation & Benefits
Base Salary: $170,000–$200,000
Bonus: Eligible for bonus
Equity: Equity in the company
Remote-first culture
Flexible Paid Time Off (PTO)
Medical, dental, and vision benefits
401(k) match
Disability benefits
Paid parental leave
Wellness reimbursement
* Education reimbursement programs
## Compliance / Additional Information
Facet is a financial advisory company founded in 2016 that uses a combination of CFP® professionals, AI, and automation to provide financial planning and advice.
The company states that it has received recognition from USA TODAY, Newsweek, the Better Business Bureau, and Trustpilot. The source description provides additional details and dates regarding these rankings, accreditation, and ratings.