appflame

Middle Product Analyst

appflame

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇦 Ukraine

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Job Level

JuniorMid-Level

Tech Stack

PythonSQLTableau

About the role

  • Proactively define growth opportunities and drive the Team's objectives with actionable data insights and hypotheses.
  • Plan A/B tests, analyse, and give final recommendations.
  • Provide the Team with all needed analytics for data-driven decision-making.

Requirements

  • Have 2 years of experience in product analytics.
  • Have experience with hypothesis generation and A/B-tests.
  • Are confident in writing SQL queries.
  • Are familiar with BI tools (preferably, Tableau).
  • Driven by a passion for numbers and data insights.
  • Work autonomously and ready to take responsibility for the Team's goals.
  • Will be an advantage: 1+ year of experience with mobile apps.
  • Experience with social discovery or dating products.
  • Experience with ClickHouse databases.
  • Knowledge of Python or R.
  • Predictive modelling/ML skills.
Benefits
  • Involvement in Ukrainian products that compete with the world’s best players.
  • The ability to implement your own ideas, not the feeling of a cog in the system.
  • Meaningful and useful products, created not just for shareholders to earn money.
  • A sense of yourself among your people who are charged with results.
  • Work with the global market and a huge audience.
  • Direct contact with Snapchat, Meta, Google, Apple, and access to their best practices.
  • Well-established processes and no barriers to growth within the company.
  • Transparent evaluation of work based on personal performance indicators.
  • Powerful social package and fair compensation.
  • Conditions for your talents to be fully revealed.
  • Loyalty to employees, both professionally and personally.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
product analyticshypothesis generationA/B testingSQLTableauClickHousePythonRpredictive modelingmachine learning
Soft skills
data-driven decision-makingautonomyresponsibilitypassion for numbersdata insights