Senior Lead Data Analyst
NerdWallet
AirflowPythonSQL
Director of Data Science and Analytics
Flex
full-time
Posted on:
Location Type: Hybrid
Location: New York City • California, New Jersey, New York • 🇺🇸 United States
Visit company websiteSalary
💰 $259,000 - $274,000 per year
Job Level
Lead
Tech Stack
AirflowPythonSparkSQL
About the role
- Lead and expand a high-performing team of data scientists and analysts supporting sales, business development, and customer success operations
- Partner with leadership to identify new revenue opportunities, optimize sales strategies, and improve customer lifetime value
- Develop and refine forecasting models, pipeline analytics, and sales performance metrics to guide quota planning and execution
- Build frameworks to evaluate partnership opportunities, pricing strategies, and go-to-market experiments
- Design and implement models that predict churn, expansion, and customer health to improve retention and upsell outcomes
- Create and institutionalize best practices for sales experimentation, revenue analytics, and operational reporting
- Serve as a trusted advisor to executive leadership, bringing analytical rigor to strategic decision-making
- Mentor and grow senior technical talent while fostering a culture of collaboration, curiosity, and measurable business impact
- Own initiatives such as sales funnel optimization, revenue forecasting, pricing and deal modeling, and customer health scoring to scale efficiently by turning complex data into actionable strategies that grow revenue and strengthen client relationships
Requirements
- 8+ years of experience in data science, advanced analytics, or revenue-focused quantitative research
- 7+ years leading data science or analytics teams, including managing managers and scaling functions that support commercial teams
- Proven track record of influencing revenue growth through experimentation, sales optimization, or go-to-market strategy
- Deep technical expertise in SQL and Python, with experience in analytics and machine learning tools (dbt, Airflow, Spark, MLflow, etc.)
- Experience applying machine learning and predictive modeling to revenue forecasting, customer retention, or sales efficiency
- A Master’s or PhD in a quantitative field (e.g., Statistics, Computer Science, Economics, or Applied Mathematics) is strongly preferred
- Strong communication skills, with the ability to distill complex analysis into actionable insights for commercial and executive stakeholders
- A passion for developing talent and building a high-impact culture rooted in accountability, data-driven decisions, and business outcomes
Benefits
- Competitive pay
- 100% company-paid medical, dental, and vision
- 401(k) + company equity
- Unlimited paid time off + 13 company paid holidays
- Parental leave
- Flex Cares Program
- Free Flex subscription
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data scienceadvanced analyticsrevenue forecastingpredictive modelingSQLPythonmachine learninganalyticssales optimizationquantitative research
Soft skills
communicationmentoringcollaborationcuriosityanalytical rigorinfluencingaccountabilitystrategic decision-makingbuilding culturedistilling complex analysis
Certifications
Master’s degreePhD
