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Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics with a focus on delivering actionable insights through advanced statistical methods and machine learning applications. Proficient in SQL and BI tools to enhance product metrics and support data-driven decision-making.
Highest-signal resume keywords
Data Analytics ExperienceAdvanced A/B TestingMachine Learning ApplicationSQL Query WritingProduct Analytics Tools
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Roll out a data-as-a-service approach for the Product team
- Make data easy to access, understand and use for decisions
- Define product metrics with Product and cross-functional teams
- Plan report structures and make reports visually appealing and easy to understand
- Automate reporting in Looker
- Measure the impact of product features and growth experiments on conversion rate, active subscriptions and customer lifetime value
- Perform ad hoc analysis of usage spikes, conversion drops and other emerging data patterns
- Turn reports and research into actionable recommendations
- Build and maintain analytical tools and services, including LLM-powered automation
- Enable the Product team to answer questions without waiting on an analyst
- Communicate opinions simply and support them with numbers
- Bring new technologies, methods and AI tools into the work
- Report to the Product Analytics Lead
Requirements
What you’ll need- 3+ years of data analytics work experience
- Experience delivering analytical solutions for complex product-related tasks, including user pattern research, supporting experiments, feature analysis to improve product metrics, and use-case analysis
- Understanding of overall business value, rather than caring only about numbers and charts
- Strong knowledge of statistical methods and using quantitative analysis to impact key decisions
- Advanced A/B testing experience, including designing, running and analyzing complex experiments
- Experience with variance reduction, sequential testing, multiple comparisons, sample ratio mismatch checks and heterogeneous treatment effects
- Solid command of causal inference methods beyond A/B testing, with understanding of when each method’s assumptions hold
- Hands-on experience applying machine learning to product problems, such as churn and propensity models, uplift modeling, segmentation, or recommendations
- Experience taking a machine-learning model from analysis to a working part of a product or decision process
- Experience writing SQL queries and working with large data sets
- Experience with product analytics and BI tools such as GA, Mixpanel, Amplitude, Looker, Tableau, or similar
- Strong engineering habits in Python, including packaged code, version control, tests, APIs and scheduled pipelines
- Active use of LLMs to speed up coding and automate analytical workflows
- High-level written and verbal communication skills
- English at upper-intermediate level or higher
- Overseas applicants only; non-U.S. applicants only; no domestic U.S. applications will be considered
Benefits
Comp & perks- Competitive base compensation
- Bonus program
- Remote first
- Paid time off
- A fun, creative and energetic work environment
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical MethodsQuantitative AnalysisCausal Inference MethodsVariance ReductionSequential TestingMultiple ComparisonsSample Ratio Mismatch ChecksChurn ModelingSegmentationRecommendations
Soft Skills
High-Level Communication SkillsAnalytical Thinking
Tools & Technologies
LookerGAMixpanelAmplitudeTableauPythonLLMs
Industry Keywords
Data-As-A-ServiceProduct MetricsUser Pattern ResearchGrowth ExperimentsCustomer Lifetime Value