Senior Analyst, Data and Analytics
BMO U.S.
PythonSQLTableau
Data Scientist, User Growth
Duolingo
full-time
Posted on:
Location Type: Office
Location: Pittsburgh • Pennsylvania • 🇺🇸 United States
Visit company websiteSalary
💰 $135,000 - $160,000 per year
Job Level
Mid-LevelSenior
Tech Stack
PythonSQLTableau
About the role
- Derive insights from data to influence product roadmaps and drive business results
- Embed in teams with product managers and engineers to design, run, and analyze experiments to improve user experiences
- Apply advanced analytical methods to model user behavior and estimate the impact of potential new features
- Partner with product and engineering teams to develop and implement solutions
- Build dashboards, reports, and/or forecasts (e.g., Sigma, Tableau, Plotly) to analyze trends and make recommendations
- Collaborate with other data scientists to level up scientific capabilities and data footprint
- Ensure the quality of tracking and data collection is high and improving
- Analyze how current and future product changes impact business performance metrics and communicate concise insights to partner teams
Requirements
- Bachelor’s degree in a relevant field (e.g., Data Science, Economics, Business Analytics, Information Systems)
- Relevant experience in data science, advanced data analytics, business intelligence, or a related field
- Advanced SQL skills to build datasets that enable ad-hoc analyses and efficient visualization
- Expertise in data visualization tools such as Sigma, Tableau, Hex, or Looker
- Professional or academic experience with experimentation, A/B testing, and/or causal inference
- Experience in programming (e.g., Python, R) to extract, transform, clean, and analyze large amounts of data
- Experience training machine learning models and deploying them in production
- Outstanding problem-solving abilities and capacity to distill complex data into concise explanations and actionable insights
- Excellent verbal and written communication skills for collaboration with technical and non-technical partners
- Ability to relocate to and work in our Pittsburgh office
- (Optional/exceptional) Master’s degree in data science, economics, statistics, or equivalent quantitative field
- (Optional/exceptional) Familiarity with AI tools such as Cursor and prompt engineering
- (Optional/exceptional) Experience at a high-growth company that has undertaken an IPO
- (Optional/exceptional) Impressive Duolingo XP or streak
Benefits
- equity compensation
- world-class benefits (see linked benefits page)
- interview accommodations available
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data scienceadvanced data analyticsbusiness intelligenceSQLdata visualizationPythonRmachine learningA/B testingcausal inference
Soft skills
problem-solvingcommunication
