Freelancer - Product Analyst for B2B SaaS Company
Budget: $250 – $750 USD
Key Responsibilities
Metrics Ownership
Own end-to-end product metrics, including defining, tracking, and reporting.
Set clear, measurable goals for product performance and monitor progress regularly.
Build and maintain dashboards to ensure visibility of key metrics across stakeholders.
Ensure consistency and accuracy in metric definitions and reporting standards.
Understanding of User Behaviour & Journey
Analyze user behavior across the product lifecycle to identify trends, patterns, and drop-offs.
Map user journeys to uncover friction points and opportunities for improvement.
Leverage both quantitative and qualitative data to derive actionable insights.
Segment users to better understand different cohorts and their engagement patterns.
Metrics Framework (North Star, L1, L2 Metrics)
Define and drive the North Star Metric aligned with core product value.
Establish L1 (high-level KPIs) and L2 (supporting/input metrics) frameworks.
Ensure all product initiatives are aligned with the overall metrics hierarchy.
Continuously refine metrics to reflect evolving product and business priorities.
Event Tracking & Integration
Create and maintain detailed tracking plans for all product features and flows.
Collaborate with developers to ensure accurate implementation of event tracking.
Test and validate tracking to ensure data reliability and integrity.
Maintain proper documentation of events, schemas, and tracking logic.
Outcome Definition
Work with product and business teams to define clear, data-backed goals.
Translate strategic objectives into measurable outcomes and KPIs.
Ensure alignment between product initiatives and company-level objectives.
Input Metrics Clarity
Identify key input drivers that influence output/business metrics.
Provide actionable insights on levers that improve growth, engagement, and retention.
Help teams focus on controllable metrics that drive meaningful impact.
Hypothesis-Driven Development & A/B Testing
Formulate clear, testable hypotheses for product features and improvements.
Design, execute, and analyze A/B tests and controlled experiments.
Define success metrics, sample sizes, and experiment duration to ensure statistical validity.
Interpret experiment results and provide actionable recommendations.
Build and standardize experimentation frameworks and best practices across teams.
Ensure learnings from experiments are documented and leveraged for future decisions.
Product Development Optimization
Partner with product teams to prioritize features based on data insights and experiment outcomes.
Support agile development with continuous feedback from metrics and A/B test results.
Focus on high-impact initiatives that drive key business outcomes.
Enable data-driven decision-making across the product lifecycle.
What We’re Looking For
Education
Bachelor’s degree (preferred from a reputed institution).
Experience
2–4 years of relevant experience (e.g., Product Analyst).
Experience in a B2B SaaS company is preferred.
Hands-on experience with A/B testing and experimentation frameworks is strongly preferred.
Technical Skills
Proficiency in SQL and Googesheet (required).
Strong analytical skills with a deep understanding of product metrics.
Experience with analytics tools (e.g., Amplitude, Mixpanel, Google Analytics) is a plus.
Solid understanding of A/B testing methodologies, statistical significance, and experiment design.
Familiarity with data visualization tools is a plus.
Product & Analytical Skills
Strong product sense with the ability to interpret data and drive decisions.
Understanding of key metrics like retention, activation, conversion, and engagement.
Ability to translate data insights and experiment results into actionable product improvements.
Strong problem-solving mindset with a hypothesis-driven approach.
Metrics Ownership
Own end-to-end product metrics, including defining, tracking, and reporting.
Set clear, measurable goals for product performance and monitor progress regularly.
Build and maintain dashboards to ensure visibility of key metrics across stakeholders.
Ensure consistency and accuracy in metric definitions and reporting standards.
Understanding of User Behaviour & Journey
Analyze user behavior across the product lifecycle to identify trends, patterns, and drop-offs.
Map user journeys to uncover friction points and opportunities for improvement.
Leverage both quantitative and qualitative data to derive actionable insights.
Segment users to better understand different cohorts and their engagement patterns.
Metrics Framework (North Star, L1, L2 Metrics)
Define and drive the North Star Metric aligned with core product value.
Establish L1 (high-level KPIs) and L2 (supporting/input metrics) frameworks.
Ensure all product initiatives are aligned with the overall metrics hierarchy.
Continuously refine metrics to reflect evolving product and business priorities.
Event Tracking & Integration
Create and maintain detailed tracking plans for all product features and flows.
Collaborate with developers to ensure accurate implementation of event tracking.
Test and validate tracking to ensure data reliability and integrity.
Maintain proper documentation of events, schemas, and tracking logic.
Outcome Definition
Work with product and business teams to define clear, data-backed goals.
Translate strategic objectives into measurable outcomes and KPIs.
Ensure alignment between product initiatives and company-level objectives.
Input Metrics Clarity
Identify key input drivers that influence output/business metrics.
Provide actionable insights on levers that improve growth, engagement, and retention.
Help teams focus on controllable metrics that drive meaningful impact.
Hypothesis-Driven Development & A/B Testing
Formulate clear, testable hypotheses for product features and improvements.
Design, execute, and analyze A/B tests and controlled experiments.
Define success metrics, sample sizes, and experiment duration to ensure statistical validity.
Interpret experiment results and provide actionable recommendations.
Build and standardize experimentation frameworks and best practices across teams.
Ensure learnings from experiments are documented and leveraged for future decisions.
Product Development Optimization
Partner with product teams to prioritize features based on data insights and experiment outcomes.
Support agile development with continuous feedback from metrics and A/B test results.
Focus on high-impact initiatives that drive key business outcomes.
Enable data-driven decision-making across the product lifecycle.
What We’re Looking For
Education
Bachelor’s degree (preferred from a reputed institution).
Experience
2–4 years of relevant experience (e.g., Product Analyst).
Experience in a B2B SaaS company is preferred.
Hands-on experience with A/B testing and experimentation frameworks is strongly preferred.
Technical Skills
Proficiency in SQL and Googesheet (required).
Strong analytical skills with a deep understanding of product metrics.
Experience with analytics tools (e.g., Amplitude, Mixpanel, Google Analytics) is a plus.
Solid understanding of A/B testing methodologies, statistical significance, and experiment design.
Familiarity with data visualization tools is a plus.
Product & Analytical Skills
Strong product sense with the ability to interpret data and drive decisions.
Understanding of key metrics like retention, activation, conversion, and engagement.
Ability to translate data insights and experiment results into actionable product improvements.
Strong problem-solving mindset with a hypothesis-driven approach.