Partner with Product Managers to improve product decisions through data analysis customer insights experimentation and product performance tracking. Help identify opportunities measure impact and build a culture of data-driven product development.
Key Responsibilities
Product Analytics: Analyze user behavior funnels retention and feature adoption to identify opportunities and pain points.
Insight Generation: Translate product data into actionable recommendations that improve customer and business outcomes.
AI-assisted Analysis: Leverage AI tools to accelerate data exploration hypothesis generation insight synthesis and reporting while validating outputs for accuracy.
Analytics Automation: Use AI to automate repetitive analysis dashboard creation and reporting workflows to improve team productivity.
Experimentation: Design analyze and measure A/B tests and product experiments.
Impact Measurement: Measure the success of new features and quantify their business and customer impact
Cross-functional Collaboration: Partner with Product Engineering Design and Business teams to support product initiatives.
Skills & Qualifications
24 years of experience in Product Analytics Product Analyst Business Analyst or similar roles.
Strong SQL skills and proficiency in Excel/Google Sheets.
Experience with BI tools such as Power BI or Looker.
Familiarity with product analytics platforms such as MoEngage Mixpanel or GA4
Experience using AI tools (e.g. ChatGPT Claude Gemini or similar) to improve analytical workflows and productivity.
Required Skills:
Requirements: 3 years of experience in data analysis business intelligence or a related field Proven track record of working with large-scale datasets and delivering measurable business impact Expertise in SQL and advanced Excel/Sheets for data extraction transformation and analysis Hands-on experience with BI platforms such as Tableau Power BI Looker or Metabase Strong grasp of KPIs business metrics and performance tracking frameworks Ability to break down ambiguous problems and apply a structured analytical approach Excellent communication skillsable to translate complex findings into clear actionable narratives for non-technical audiences Foundational understanding of experimentation principles including A/B testing design and interpretation
Partner with Product Managers to improve product decisions through data analysis customer insights experimentation and product performance tracking. Help identify opportunities measure impact and build a culture of data-driven product development.Key ResponsibilitiesProduct Analytics: Analyze user b...
Partner with Product Managers to improve product decisions through data analysis customer insights experimentation and product performance tracking. Help identify opportunities measure impact and build a culture of data-driven product development.
Key Responsibilities
Product Analytics: Analyze user behavior funnels retention and feature adoption to identify opportunities and pain points.
Insight Generation: Translate product data into actionable recommendations that improve customer and business outcomes.
AI-assisted Analysis: Leverage AI tools to accelerate data exploration hypothesis generation insight synthesis and reporting while validating outputs for accuracy.
Analytics Automation: Use AI to automate repetitive analysis dashboard creation and reporting workflows to improve team productivity.
Experimentation: Design analyze and measure A/B tests and product experiments.
Impact Measurement: Measure the success of new features and quantify their business and customer impact
Cross-functional Collaboration: Partner with Product Engineering Design and Business teams to support product initiatives.
Skills & Qualifications
24 years of experience in Product Analytics Product Analyst Business Analyst or similar roles.
Strong SQL skills and proficiency in Excel/Google Sheets.
Experience with BI tools such as Power BI or Looker.
Familiarity with product analytics platforms such as MoEngage Mixpanel or GA4
Experience using AI tools (e.g. ChatGPT Claude Gemini or similar) to improve analytical workflows and productivity.
Required Skills:
Requirements: 3 years of experience in data analysis business intelligence or a related field Proven track record of working with large-scale datasets and delivering measurable business impact Expertise in SQL and advanced Excel/Sheets for data extraction transformation and analysis Hands-on experience with BI platforms such as Tableau Power BI Looker or Metabase Strong grasp of KPIs business metrics and performance tracking frameworks Ability to break down ambiguous problems and apply a structured analytical approach Excellent communication skillsable to translate complex findings into clear actionable narratives for non-technical audiences Foundational understanding of experimentation principles including A/B testing design and interpretation