FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product and business analytics with a strong focus on SQL, cloud data warehousing, and product performance metrics. Proficient in using analytics tools to drive insights and support product management decisions.
Highest-signal resume keywords
Strong SQL SkillsProduct Analytics Tools ExperienceCloud Data Warehouse ExperienceSaaS Metrics KnowledgePython or R for Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonRData AnalysisCohort LogicStatistical AnalysisMetrics DefinitionData ReconciliationExperiment SizingDashboard Creation
Soft Skills
Attention to DetailClear Written Communication
Tools & Technologies
ClickHouseSnowflakeSupersetTableauPendoAmplitudeMixpanelDbtChartMogul
Industry Keywords
SaaS MetricsAI Product AnalysisSubscription AnalyticsBusiness ReviewRecurring Metrics Pack
Tech Stack
Tools & technologiesCloudPythonSQLTableau
About the role
Key responsibilities & impact- Own measurement of HighLevel’s AI product portfolio
- Run recurring business reviews from analysis through presentation to product leadership
- Define and document activation, adoption, north star, and penetration metrics
- Build and maintain Superset datasets, charts, and dashboards
- Audit reporting for hardcoded filters, stale queries, and drifted definitions
- Write SQL against ClickHouse and Snowflake, including semi-structured JSON columns
- Report product performance against the annual operating plan and re-forecasts
- Explain performance variances based on product developments
- Analyze retention, cohort behavior, and adoption funnels at the sub-account level
- Build AI usage unit economics, including model costs, cost-to-revenue ratio, and margin
- Report AI product quality, evaluation results, containment, escalation rates, and sampling design
- Reconcile conflicting figures across data sources
- Specify instrumentation with product managers before feature launches
- Analyze in-product behavior in Pendo
- Size roadmap opportunities and experiments
- Work directly with the VP of Product and AI product managers
Requirements
What you’ll need- At least six years of experience in product or business analytics, including time spent working directly with product teams
- Strong SQL skills, including multi-CTE queries, window functions, cohort logic, and semi-structured JSON queries in Snowflake
- Ability to use Python or R for analysis beyond SQL
- Production experience with a cloud data warehouse, ideally ClickHouse and Snowflake
- Ability to author in Superset or Tableau, including building datasets and dashboards
- Experience with product analytics tools such as Pendo, Amplitude, or Mixpanel, including defining events and tracking plans
- Experience owning a recurring metrics pack or business review
- Careful attention to data grain and time period
- Good command of SaaS metrics, including MRR, ARR, expansion, contraction, churn, retention, and ARPU
- Statistical grounding to size and interpret experiments
- Clear written English
- Bonus: experience analyzing AI or LLM products, token consumption, model cost, and quality evaluation
- Bonus: familiarity with usage-based or hybrid pricing models
- Bonus: experience with dbt or a comparable transformation layer
- Bonus: background in CRM, agency, or SMB SaaS products
- Bonus: experience with subscription analytics tools such as ChartMogul
Benefits
Comp & perks- Global, remote-first organization
- Well-funded and profitable company
- Lean principles enabling products to market in weeks rather than quarters
- Continuous and iterative improvement culture
- Team well-being focus
- Passionate, dynamic work environment