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HackerRank

Product Analytics Specialist (Remote)

Posted 14 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in IN
Mid level
Remote
Hiring Remotely in IN
Mid level
The Product Analytics Specialist at HackerRank supports product managers by analyzing data to guide product development and marketing efforts. Responsibilities include identifying key metrics, supervising data instrumentation, exploring datasets for insights, and designing user journeys to enhance product activation and retention.
The summary above was generated by AI

At HackerRank, we help over 2,500 of the most prestigious logos across industries find, hire and upskill amazing developer talent using our SaaS-based Developer Skills Platform. We pioneered and continue to lead the developer skills market. At HackerRank, we are passionate about our mission to "Change the world to value skills over pedigree”. This position is full-time and remote in India.
The Biz Ops & Analytics team is looking for a seasoned Product Analyst to support multiple product managers in a pod-embedded model. Product Prioritization & Planning, Identifying key metrics, supervising data instrumentation, and delivering planned and ad hoc insights, will be top priorities for this role. The role is expected to guide PMs to accomplish business outcomes, improve retention and revenue expansion, and enable Sales & Marketing with monetisation and account renewal efforts

What you will do:

  • Supporting PMs and Product Designers deliver new or improved features, to help customers accomplish their Jobs-to-be-done; the driving framework behind HackerRank’s product roadmap
  • Supporting Product and Content marketing teams, with data stories and nuggets from the HackerRank platform, that strengthen the company’s brand as an authority in Technical Hiring
  • Helping design, execute and interpret user journeys to accelerate product activation, retention, engagement, and monetization
  • Exploring large, diverse and complex datasets to create actionable insights
  • Owning and developing queries, analysis and visualizations for ad-doc, recurring, troubleshooting requests and projects

You will thrive in this role if:

  • You have a deep understanding of the product area, the user personas, the target market, and competitive products / alternative solutions
  • You are able to work with a “briefing” level guidance on requests by PMs, and do not need detailed requirement documents, by developing answers iteratively and having PMs react to your line-of-approach
  • You are smart about when the analytics solution requires high level accuracy vs. directional answers
  • You are able to provide answers when data quantity and data quality are an issue through creative approaches ranging from sampling to bootstrapping to finding proxies etc.  

What you will also bring:

  • Minimum 4-5 years of experience as a business intelligence analyst, data analyst, or product analyst with a proven record of impacting business
  • Minimum 2+ years of experience focused on feature and usage metrics, A/B testing, conversion and retention, segmentation, and developing user personas and their usage patterns
  • Capability to own and deliver projects end-to-end with minimal guidance
  • Expert knowledge of SQL and MS Excel
  • Intermediate scripting skills using Python libraries such as Pandas, and Numpy for Data Science, Data Manipulation and File Processing
  • Understanding of data modeling concepts and partnering on building new DW tables
  • Hands-on data visualization experience through Looker or a comparable platform is strongly preferred
  • Knowledge of basic statistical concepts with emphasis on statistical hypothesis testing (t-tests, z-tests, etc.). Experience with A/B and multivariate testing is preferred
  • Detail-oriented and expert in both qualitative and quantitative analysis with a passion for delivering actionable insights to key stakeholders
  • Strong product and business acumen with aptitude to apply it critically towards solving problems
  • Excellent interpersonal skills — including written and oral communication skills

Nice to have: (optional)

  • Bachelors or higher degree in Information Management, MIS, Business Analytics, or related field
  • Strong experience with large data sets, clickstream application analytics
  • Familiarity with Talent Acquisition space

Benefits & Perks:

We have a full package of competitive benefits and perks, which include the following:

  • One-time home office set up stipend
  • Monthly Remote Work Enablement Stipend
  • Professional Development Reimbursement
  • Wellbeing Benefits (Headspace, Cleo, etc)
  • Flexible paid time off, paid leave for new parents, and flexible work hours
  • Insurance for all employees (term life, personal accident, medical) along with medical insurance for their dependents
  • Employee stock options, flexible work hours, and time off

About HackerRank:

HackerRank is a Y Combinator alumnus backed by tier-one Silicon Valley VCs with total funding of over $100 million. The HackerRank Developer Skills Platform is the standard for assessing developer skills for 2,500+ companies across industries and 23M+ developers worldwide. Companies like LinkedIn, Stripe, and Peloton rely on HackerRank to objectively evaluate skills against millions of developers at every hiring process, allowing teams to hire the best and reduce engineering time. Developers rely on HackerRank to turn their skills into great jobs. We’re data-driven givers who take full ownership of our work and love delighting our customers!

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.
Notice to prospective HackerRank job applicants:
We’ve noticed fake accounts posing as HackerRank Recruiters on Linkedin and through text. These imposters trick you into paying them for jobs/providing credit check information.
Here’s how to spot the real deal:

  • Our Recruiters use @hackerrank.com email addresses.
  • We never ask for payment or credit check information to apply, interview, or work here. 

Thanks for your interest in HackerRank! 

Top Skills

Python
SQL

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