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Product Analytics Specialist @ Hackerrank

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 Product Analytics Specialist

Job Description

At HackerRank, we are on a mission to change the world to value skills over pedigree
We are a high-performing, mission-driven team that truly, madly, deeply cares about what we do
We dont see velocity and quality as tradeoffs both matter
This sometimes means long days and work spilling into weekends, but we wouldnt have it any other way
We each find balance in our own way, making time for what matters outside of work while always giving our best
If you are someone who takes pride in high-impact work and thrives in a driven team, HackerRank is where you belong
  • About The Team
    The Biz Ops & Analytics team partners closely with Product, Marketing, and GTM teams, delivering insights that directly shape HackerRanks 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
    Youll play a pivotal role in improving activation, retention, and monetization across our platform
  • What Youll 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 HackerRanks 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
    Youre 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 visualization tools (Looker preferred, or Tableau/PowerBI)
  • Understanding of data modelling and partnering on new data warehouse tables
  • BonusFamiliarity with Pendo, Fullstory, Mixpanel or Google Analytics
  • BonusExperience supporting ML/DS teams with data
  • BonusDegree in Business Analytics, Data Science, MIS, or related field
  • 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
  • Linkedin |X | Blog | Instagram | Li*e@Ha*******k|
    Notice To Prospective HackerRank Job Applicants
    Our Recruiters use @hackerrank.com email addresses
  • We never ask for payment or credit check information to apply, interview, or work here
  • Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Data Science & Analytics
    Role Category: Business Intelligence & Analytics
    Role: Analytics Consultant
    Employement Type: Full time

    Contact Details:

    Company: Hackerrank
    Location(s): Itanagar

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    Keyskills:   python numpy sql pandas tableau mixpanel data analysis bi power bi business analysis business analytics linkedin marketing ab testing product marketing java data science saas google analytics data visualization data wrangling retention

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