Product Analyst II

HackerRank; Bengaluru; Presencial; INR 1.800.000 - 3.200.000; Jornada completa

Descripción de la vacante

HackerRank is seeking a Product Analyst II to own analytics across AI-powered experiences, developer tools, content, and growth initiatives. You will partner with cross-functional teams to define metrics and measurement plans, influence product decisions, and drive data-driven improvements.

You will work with complex datasets, apply statistical methods, and design experiments to quantify impact, explain outcomes, and guide prioritization of new features and content improvements.

Formación

• 3-6 years of full-time experience in product analytics, data science, growth analytics, or related field.
• Strong SQL skills with event/session/clickstream data.
• Proficiency in Python for analysis and handling large datasets.
• Solid foundation in statistics: hypothesis testing, confidence intervals, regression, causal inference.
• Understanding funnels, retention, segmentation, experimentation, and feature adoption.
• Ability to translate ambiguous business questions into structured analyses and actionable recommendations.

Responsabilidades

• Own analytics for product, platform, content, AI, or growth initiatives end-to-end.
• Define and evolve adoption, engagement, retention, usability, and customer value metrics.
• Analyze customer journeys and feature-level behavior to identify opportunities and friction points.
• Evaluate content quality and AI-powered product experiences.
• Partner with product, engineering, content, design, and marketing to define measurement plans and success criteria.
• Drive experiments from hypothesis to interpretation and next steps.

Conocimientos

Advanced SQL

Python

Statistics

Experimentation

Cohort analysis

Product analytics

Data storytelling

Descripción del empleo

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next.

Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills.

People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards.

About the role

As a Product Analyst II at HackerRank, you will own the end-to-end analytics for our products and platforms, working across AI-powered experiences, developer-facing products, content, community growth, or platform initiatives. This is not a BI reporting role — you will own and drive analytics initiatives end-to-end and act as a thought partner to Product, Engineering, Content, Design, and business stakeholders, helping answer not only "what happened?" but also "what should we build, improve, prioritize, or measure next?"

What you will do

• Own analytics for next-generation product(s), platform, content, AI, community, or growth areas.
• Define and evolve metrics across adoption, engagement, retention, satisfaction, usability, usage quality, and customer value.
• Analyze customer and developer journeys, segments, and feature-level behavior to identify opportunities and friction points.
• Evaluate the quality, effectiveness, and adoption of new content and AI-powered product experiences.
• Partner with Product, Engineering, Content, Design, and Marketing teams to define measurement plans and success criteria for new initiatives.
• Drive experimentation by framing hypotheses, sizing opportunities, designing experiments, interpreting results, and recommending next steps.
• Use AI agents as part of your daily analytics workflow, and analyze AI assistants/agentic workflows including usage, outcomes, cost, and usage-based pricing.

Who you are

• You have 3-6 years of full-time experience in product analytics, data science, growth analytics, consumer analytics, platform analytics, or a related field.
• You have advanced SQL skills and experience working with event, session, or clickstream-level product data.
• You are comfortable using Python for analysis and working with large, imperfect, or text-based datasets.
• You have a strong foundation in statistics, including hypothesis testing, confidence intervals, statistical significance, power analysis, sampling, regression, and causal inference.
• You understand funnels, cohort analysis, segmentation, retention, experimentation, and feature adoption.
• You can turn ambiguous business questions into structured analyses, clear recommendations, and measurable outcomes.

Even better if you have

• Familiarity with LLM product metrics, AI quality evaluation, or agent workflow analysis.
• Experience implementing or validating clickstream instrumentation; not only defining requirements for it.
• Experience measuring content quality, learning outcomes, developer workflows, or community engagement.
• Experience working with consumer tech, developer tools, learning platforms, marketplaces, or B2B SaaS products.

You will thrive if you

• You enjoy owning analytics initiatives end to end, from problem framing through impact measurement.
• You thrive in fast-paced environments where priorities evolve based on feedback and insights.
• You have a strong bias for action, experimentation, and continuous improvement in ambiguous environments.
• You enjoy working across product areas and building context quickly.
• You are great at collaborating with multiple stakeholders.

Want to learn more about HackerRank?Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.

HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

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