Data Scientist 5 – Member Product
Netflix
Python
Analytics Lead – Full Stack
Affirm
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $171,454 - $230,000 per year
Job Level
Senior
Tech Stack
PythonSQLTableau
About the role
- Analyze products and create business recommendations and strategies for the company’s Direct to Consumer, Card, and Banking products through quantitative reasoning.
- Analyzing data to identify gaps/opportunities within product and user experience areas and providing data driven recommendations for improvement;
- Working with large and complex data sets to solve a wide array of problems using various advanced analytical and statistical techniques;
- Developing business and product strategies to drive growth, profitability and high quality customer experience with an emphasis on quantitative reasoning;
- Writing cases and providing insight into opportunities based on analysis through internal and external research, and a close monitoring of the unit’s performance;
- Continuously embedding insights into the business unit strategy and identifying new opportunities for step function growth;
- Building and defining critical data sets, reporting, and providing documentation to enable Analysts and cross-functional partners to answer questions and monitor the business;
- Designing and analyzing A/B tests to understand the performance of new features and products;
- Partnering with cross-functional stakeholders from Product, Engineering, Marketing, Finance, and Sales teams to inform product decisions and influence roadmap and business unit strategy;
- Supporting the analytics workflow end-to-end, from defining success and performance metrics, forecasting, to developing scalable analytics solutions, including automated dashboards, reports and presentations for cross-functional teams.
Requirements
- Bachelor’s degree in Statistics, Mathematics, Finance, Economics, Business Administration, Engineering, or a related field and 5 years of experience in the job offered or similar position.
- SQL, Python or R;
- Data visualization tools such as Looker, Tableau or PowerBI;
- Collaborating cross-functionally with both technical and non-technical audiences;
- Knowledge of lending mechanics and credit strategies.
Benefits
- Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
- Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
- Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
- ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythonRdata analysisquantitative reasoningA/B testingdata visualizationstatistical techniquesbusiness strategy developmentperformance metrics
Soft skills
collaborationcommunicationanalytical thinkingproblem-solvingcross-functional teamworkstrategic thinkinginsight generationadaptabilitystakeholder engagementdocumentation
