Product Data Analyst

appflame — a Ukrainian IT company building world-class products: Hily, Taimi, AdConnect, Mailkeeper, and more.

Who we are today:

• 7 years on the market, 500+ employees, offices in Kyiv, London, and Limassol, plus a coworking space in Warsaw.

• In 2025, appflame ranked 5th among Ukraine's 50 best employers according to Forbes and won in the "Place for Growth" category.

• Our apps Hily and Taimi are among the Top 5 dating apps in the U.S., with over 70 million users. AdConnect and Mailkeeper build and scale our own B2B and B2C solutions.

Our mission: Flame up the world with Ukrainian products.

Our goals:

• Reach the top 5 product companies in the world.

• Become a unicorn — and turn Ukraine into a country where unicorns are born and thrive.

We're looking for daring, ambitious, and "a little crazy" people — those who love building real products and dream of launching cool startups. You have the ambition; we have the conditions to make it happen.

Your project:

Hily is a dating app built on a simple idea: people connect better when they stay themselves — date as you are. Over 7+ years, 35M+ people have signed up for exactly that: genuine connections without playing to the crowd. Hily is a Top-4 dating app worldwide (Sensor Tower and Hily internal analytics), with 50M+ matches a year and 1.5B+ likes sent. The product rests on three things: authenticity, fun, and trust. This role sits in the product analytics team, where analytics isn't reports for show but the basis for decisions on what the team builds next.

You will:

• Proactively find growth opportunities and move team goals through actionable, data-driven insights and hypotheses.

• Plan A/B tests, analyze results, and deliver final recommendations.

• Provide the team with all the analytics needed for data-driven decisions.

We'll have a match if you:

• Have 2 years in an analytical role or relevant internships.

• Have English at a B2 level or higher.

• Have a bachelor's degree or higher in Economics, Statistics, Mathematics, Computer Science, or a related quantitative field.

• Have fluent Ukrainian.

• Write SQL queries confidently.

• Have experience with at least one BI tool (Tableau preferred).

• Have a solid grasp of basic statistics.

• Are attentive to numbers.

• Can tell stories with data (data storytelling).

• Can work autonomously.

Will be an advantage:

• Experience in product analytics in IT (social discovery or dating products ideal).

• Understanding of A/B testing fundamentals and statistical significance.

• Knowledge of Python or R.

• Experience with ClickHouse databases.

• Predictive modeling / ML skills.

What we offer:

• Work: Remote-first setup, modern offices with activities, and all the equipment you need, plus compensation to set up your remote workplace.

• Growth: Fair pay with regular reviews; after probation, compensation for education and English courses, Online Speaking Club, online library, and course access.

• Health & time off: Medical insurance coverage, psychologist consultations, unlimited paid sick days, and 31 paid vacation days/year (incl. public holidays).

• Team: Corporate events, team-building activities, and paid participation in sports competitions.

Why appflame?

• Build Ukrainian products that compete with the best players on the global market.

• Bring your own ideas to life instead of being a cog in the system.

• Direct contact with Snapchat, Facebook, Google, and Apple, and access to their best practices.

• Work with a global market and a massive audience.

• A team of like-minded people focused on results.

• Well-established processes and real opportunities to grow within the company.

• Transparent evaluation based on personal performance indicators.

Join our team — it's going to be hotter than you can imagine.

We are against all types of discrimination, bullying, and stereotypes. We provide equal employment opportunities regardless of race, skin color, religion, gender, sexual orientation, gender identity, age, marital status, health status or any other characteristics.