Product Analyst

at Fandom
  • Remote - United States

Remote

Product

Mid-level

Job description

About this Role

Fandom is growing! We’re hiring a Product Analyst to join our remote team in the US. Reporting to our Director of Product Analytics, you’ll join a passionate group of data storytellers helping drive product innovation across Fandom.

We love discovering patterns, understanding what users really need, and using data to shape the future of our platform. If you’re excited by collaborative problem-solving and making complex insights accessible, this could be a great fit.

You Will…

  • Work with stakeholders to investigate the ‘why’…and encourage best practices in experimental design and testing.

  • Partner with key stakeholders on our Product teams to manage an analytics backlog and prioritize your workload based on ROI to team OKRs

  • Develop user archetypes based on content consumption, product feature usage, device type, and based on user preferences, device type, behavior patterns, and anonymized demographic insights

  • Collaborate with the Data Engineering team to ensure data quality and Create KPIs and dashboards to monitor product performance, including new product launches, to mitigate risks, measure success, and recommend optimizations

  • Analyze A/B and multivariate tests and serve as an advocate for proper experimental design and testing

  • Storytell interesting trends across our user base and traffic patterns to technical and non-technical stakeholders. Confidently explain and translate your code into actionable recommendations.

  • Maintain relationships with our Data Engineering, Business Intelligence, Product Marketing, and other teams that you’ll interact with regularly

You Are…

  • 1-3 years of analytics experience
  • Demonstrable experience in influencing a product roadmap
  • A passion to share your knowledge.  We’re a wiki platform at our core.
  • Proficiency in SQL essential.  We use s3/Athena
  • Experience with dashboarding tools is important. We use Tableau.
  • Familiarity with A/B testing and statistical significance techniques such as t-test, ANOVA, correlation, etc.
  • Strong interpersonal and communication skills - ability to clearly articulate and present insights to creative and technical teams alike

Bonus Points…

  • Knowledge of Python or R
  • Experience in statistical modeling or machine learning
  • Experience in working in scrum teams in an agile environment is a plus. You’ll work with 3-5 product managers and are expected to attend standups, retros, and sprint launches.

Benefits & Perks

  • MacBook Pro and all the gear you need for work
  • Free access to a multitude of popular online courses and books sponsored by our company
  • Company stock options
  • Company swag packages
  • Cafeteria Benefit Program (including private medical care, gym membership, shopping/wellness bonus, etc.)
  • VTO (Voluntary Time Off) - a day off every quarter for volunteering non-profit
  • Frequent team bonding events
  • Flexible work hours & time-off
  • Employee Interest and Hobby Groups supported by our company
  • Open, energetic, and fan-focused international work environment

About Fandom

Fandom is the world’s largest fan platform where fans immerse themselves in imagined worlds across entertainment and gaming. Reaching more than 350 million unique visitors per month and hosting more than 250,000 wikis, Fandom is the #1 source for in-depth information on pop culture, gaming, TV and film, where fans learn about and celebrate their favorite fandoms. Fandom’s Gaming division manages the online video game retailer Fanatical. Fandom Productions, the content arm of Fandom, enhances the fan experience through curated editorial coverage and branded content from trusted and established publishing brands Gamespot, TV Guide and Metacritic, along with its Emmy-nominated Honest Trailers and the weekly video news program The Loop. For more information follow @getfandom or visit: www.fandom.com.

Fandom is an equal opportunity employer. Fandom values diversity, and all employment decisions are made on the basis of job requirements and individual qualifications.

#LI-TM1

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