Product Analyst II
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About the Team:
The Biz Ops & Analytics team partners closely with Product, Marketing, and GTM teams, delivering insights that directly shape HackerRank’s roadmap and market positioning. This cross-functional team sits at the core of our data-driven strategy.
About the Role:
As a Product Analyst II, you will work directly with product managers and designers to identify opportunities, guide prioritization, and evaluate product impact. You’ll play a pivotal role in improving activation, retention, and monetization across our platform.
What you'll do:
Partner with Product Managers and Designers to define success metrics and analyze feature effectiveness.
Develop user journey insights to improve activation, engagement, and retention.
Support GTM and Product Marketing teams with data stories that build HackerRank’s industry authority.
Own and execute ad-hoc and recurring product analyses using SQL, Python, and visualization tools.
Ensure data instrumentation quality and collaborate with Engineering on new tracking.
You will thrive in this role if:
You’re confident navigating large, imperfect datasets to deliver business-relevant insights.
You can work with minimal guidance and co-develop solutions iteratively with PMs.
You understand the product deeply, from user personas to competitive context.
You know when directional answers suffice and when precision is critical.
What you bring:
4–5 years in analytics, with 2+ in product analytics (preferably SaaS or platform products).
Strong SQL and Excel skills.
Intermediate Python (Pandas, Numpy) for data wrangling.
Experience with A/B testing, funnel and retention analysis.
Hands-on with data visualisation tools (Looker preferred, or Tableau/Powerbi).
Understanding of data modelling and partnering on new data warehouse tables.
Bonus: Familiarity with Pendo, Fullstory, Mixpanel or Google Analytics.
Bonus: Experience supporting ML/DS teams with data.
Bonus: Degree in Business Analytics, Data Science, MIS, or related field.
About the job
Product Analyst II
To see similar active jobs please follow this link: Remote Consulting jobs
About the Team:
The Biz Ops & Analytics team partners closely with Product, Marketing, and GTM teams, delivering insights that directly shape HackerRank’s roadmap and market positioning. This cross-functional team sits at the core of our data-driven strategy.
About the Role:
As a Product Analyst II, you will work directly with product managers and designers to identify opportunities, guide prioritization, and evaluate product impact. You’ll play a pivotal role in improving activation, retention, and monetization across our platform.
What you'll do:
Partner with Product Managers and Designers to define success metrics and analyze feature effectiveness.
Develop user journey insights to improve activation, engagement, and retention.
Support GTM and Product Marketing teams with data stories that build HackerRank’s industry authority.
Own and execute ad-hoc and recurring product analyses using SQL, Python, and visualization tools.
Ensure data instrumentation quality and collaborate with Engineering on new tracking.
You will thrive in this role if:
You’re confident navigating large, imperfect datasets to deliver business-relevant insights.
You can work with minimal guidance and co-develop solutions iteratively with PMs.
You understand the product deeply, from user personas to competitive context.
You know when directional answers suffice and when precision is critical.
What you bring:
4–5 years in analytics, with 2+ in product analytics (preferably SaaS or platform products).
Strong SQL and Excel skills.
Intermediate Python (Pandas, Numpy) for data wrangling.
Experience with A/B testing, funnel and retention analysis.
Hands-on with data visualisation tools (Looker preferred, or Tableau/Powerbi).
Understanding of data modelling and partnering on new data warehouse tables.
Bonus: Familiarity with Pendo, Fullstory, Mixpanel or Google Analytics.
Bonus: Experience supporting ML/DS teams with data.
Bonus: Degree in Business Analytics, Data Science, MIS, or related field.