appflame - Junior Data Analyst

We are appflame, a product IT company. We create life-changing products that break the rules of the game in the category. Geographically, we are located in Ukraine, but in reality – all over the world.

We are looking for the daring and enthusiastic people. Those who are fans of creating real products and dream of launching and developing cool startups. You have ambitions, and we have comfortable conditions for their implementation.

As a Junior Data Analyst, you will play a key role in driving the growth of our products using state-of-the-art technologies and data-driven insights. This is your chance to gain hands-on experience with cutting-edge tools like SQL, Python, and R, create predictive models like Marketing Mix Modeling and GeoLift, improve LTV prediction accuracy and make an immediate impact on product development and marketing strategies.

You’ll be responsible for:

• Exploring large datasets to uncover meaningful insights and identify growth opportunities.
• Implementing and optimizing advanced predictive models to measure and drive performance across our products.
• Collaborating closely with the marketing team to assess traffic quality and implement new optimization methods.
• Optimizing code to improve performance and scalability.
• Visualizing data to facilitate decision-making and generate actionable insights.
• Proposing and testing new hypotheses to continually improve product and marketing strategies.
• Contributing to the development of cutting-edge Marketing Mix Models (MMM) and experimenting with GeoLift to drive business growth.

What we’re looking for:

We want someone who is eager to learn, passionate about data, and excited about using modern technologies to solve complex challenges. If you're looking for a place where your ideas can be tested and implemented, this is the role for you!

You should bring:

• A passion for technology and data, and a willingness to embrace new tools and methodologies.
• Strong problem-solving skills with an analytical mindset.
• SQL and Python knowledge.
• The ability to work independently, set goals, and drive them to completion.
• A desire to continuously learn and improve.

Nice to have (but not required):

• Experience in marketing analytics in a product company.
• Familiarity with machine learning models, especially for marketing optimization and predicting LTV.
• Experience with tools like Clickhouse, Tableau, Metabase.
• Familiarity with Git for version control and Airflow for workflow automation.

Why appflame?

At appflame, you’ll be part of a passionate, diverse, and talented team that is driven by a shared purpose to build amazing products. Here’s what makes us stand out:

• Work with the latest technologies: We are continuously innovating and using modern technologies like SQL, Python, R, MMM, GeoLift to solve complex challenges and make impactful decisions.
• Make an impact from day one: You’ll be contributing to real products that have global reach, with direct influence on their success.
• Access to the best practices: You’ll work directly with industry leaders like Meta, Google, TikTok and Apple, learning from their best practices.
• Global exposure: Work on products that compete with the best in the world.
• Growth opportunities: We offer a transparent and merit-based environment where your growth and achievements are recognized and rewarded.
• A supportive, inclusive culture: We believe in empowering our people — not just professionally, but personally. You’ll always have the support you need to thrive.

Your journey to the job offer: interview > test > final interview > job offer.

Join us and make an impact!

We’re not just another tech company — we’re a group of innovators, problem-solvers, and dreamers on a mission to build products that matter. If you’re passionate about using technology to change the world, come work with us at appflame!

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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.