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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Product Analytics and Business Intelligence, with a strong foundation in statistical methods and experience in developing metrics frameworks and dashboards. Proficient in translating complex data into actionable insights that drive product and business decisions.
Highest-signal resume keywords
Product AnalyticsRegression AnalysisSQL ProficiencyLooker ExpertiseSaaS Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Predictive ModelingCorrelation AnalysisMetrics Framework DevelopmentData GovernanceStatistical Methods
Soft Skills
Strategic ThinkingHighly OrganizedCross-Functional AlignmentStakeholder ManagementProcess-Oriented
Tools & Technologies
LookerPendoMixpanelRedshiftAI Tools
Industry Keywords
Product OperationsBusiness IntelligenceSaaSAnalytics ProgramCustomer Behavior Analysis
Tech Stack
Tools & technologiesAmazon RedshiftSQL
About the role
Key responsibilities & impact- Partner with product leadership to design and evolve Tekmetric's product metrics program
- Build and maintain a multi-variable outcome model spanning retention, revenue, customer health, and engagement
- Apply regression, correlation analysis, and predictive modeling to validate metric definitions
- Develop metrics frameworks, taxonomies, and standards
- Conduct deep-dive analyses of customer behavior, product usage, friction points, and revenue opportunities
- Deliver recommendations informing prioritization, roadmap decisions, and OKRs
- Translate data into narratives for executive reviews, board decks, and product planning
- Manage an analytical work backlog and close the loop with stakeholders
- Develop dashboards, templates, and toolkits for self-service insights
- Train stakeholders on interpreting and using product data
- Standardize reporting across product teams
- Partner with Engineering and Data teams on event tracking, taxonomy, and data governance
- Ensure data accuracy, completeness, and consistency
- Build and maintain metrics, dashboards, and self-service data models using Looker, Pendo, Mixpanel, and Redshift
Requirements
What you’ll need- 5-8+ years in Product Operations, Product Analytics, Business Intelligence, or related roles
- Foundation in statistical methods, including regression, correlation, and predictive modeling
- Exposure to analytics or metrics program work
- Track record of translating complex data into actionable recommendations influencing product and business decisions
- Experience in SaaS or platform products strongly preferred
- Strong command of SQL
- Proficiency with modern BI/analytics tools; Looker preferred
- Fluency with AI tools for synthesizing, analyzing, and scaling work
- Ability to identify stakeholders, manage an independent workload, and explain data implications
- Highly organized and process-oriented
- Ability to drive cross-functional alignment
- Strategic thinking with ability to work at both high-level and detailed levels
Benefits
Comp & perks- Hybrid and remote work models based on proximity to office hubs
- Travel to team and company-wide offsites several times a year, with attendance expected and fully supported
- Competitive base salaries
- Generous Paid Time Off
- Paid maternity, parental bonding, and medical leave
- Medical, Dental, Vision, and Prescription coverage
- Employee-only plans cover 100% of premiums; 50% of family costs covered
- Free, confidential counseling through BetterHelp
- 401(k) Retirement Savings Plan with 100% employer match on contributions up to 6%
- Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA)
- Life and Accidental Death & Dismemberment (AD&D) Insurance
- Up to $60/month toward fitness, mental health, or other wellness expenses
- $300 home office setup bonus after one year of employment
- Support for continuing education
- Office activities and team events