Product & Data Analyst

Job description, responsibilities and duties In this role, you will act as a key partner to the product and growth teams, helping the company make smarter and faster decisions through data. Your core mission is to determine whether what the company is building is actually working, and to turn data into clear insights and concrete actions that improve both product performance and business outcomes. You will start by building a reliable and trustworthy data foundation. This includes auditing existing tracking, identifying gaps, and defining new events and metrics so that the entire team can rely on a single source of truth. You will work hands-on with PostHog, SQL, and analytics tooling to ensure that user behavior and key performance indicators are measured accurately and consistently. As you gain a deeper understanding of the product, you will take ownership of defining core product and business metrics. Using product analytics, funnel analysis, and cohort analysis, you will uncover friction points and high-impact opportunities, especially in onboarding and early user churn. A key part of your work will be experimentation and A/B testing. You will design, evaluate, and interpret experiments in a structured way, ensuring that results are measurable, interpretable, and comparable. You will apply segmentation techniques (e.g., user cohorts, device types, usage modes) and actively challenge assumptions to ensure only impactful initiatives move forward. Beyond analysis, you will actively influence decision making and prioritization. You will translate insights into clear, actionable recommendations, define success criteria for initiatives, and track outcomes using data-driven frameworks. Your work will directly shape product and growth strategy. Over time, you will help establish a strong data-driven culture, where decisions are based on evidence rather than intuition. You will play a key role in connecting data, product, and growth, and may help scale analytics into a high-impact data function within the company. Employee perks, benefits Competitive base salary with meaningful equity in a profitable, growing company High-impact role with direct influence on product and business decisions Opportunity to define and shape the company’s data and experimentation strategy Flat team structure with high ownership and autonomy Fast-paced environment focused on shipping and real outcomes Exposure to modern product analytics tools such as PostHog Work on a product used by millions of users globally Opportunity to grow into a data leadership role and build a team over time Collaborative culture with direct access to founders and decision makers Flexible working environment supporting productivity and ownership Employee requirements Minimum achieved education II. level university degree Language skills English - Upper intermediate (B2) or Slovak - Upper intermediate (B2) Personality requirements and skills Strong product mindset with the ability to connect data to real user behavior and business outcomes Ability to move from raw data → insight → decision → action without unnecessary complexity Hands-on experience with SQL and working with product analytics tools such as PostHog Experience with defining metrics, tracking events, and building or improving data layers Solid understanding of experimentation methodologies (A/B testing, cohort analysis, segmentation) Ability to interpret data critically and challenge assumptions or poorly designed experiments Experience working on a live product with real users and revenue is strongly preferred Strong analytical thinking combined with practical problem-solving skills Ability to prioritize work based on impact and business value Clear communication skills, with the ability to explain complex insights in a simple and actionable way Proactive, ownership-driven mindset with a focus on outcomes rather than reporting Comfortable working in a fast-paced, ambiguous environment without perfect data or processes Curiosity and drive to continuously improve product performance and user experience Team player with the ability to collaborate across product, growth, and engineering

The ideal candidate has a strong analytical background with experience in product growth metrics and SQL. You should be passionate about using data to tell stories and improve user experience in a fast-paced AI startup environment.

Required

- 3+ years of experience in product analytics, data science, or a similar quantitative role. - Mastery of SQL and experience with data visualization tools (e.g., Mixpanel, Amplitude, or Looker). - Strong understanding of statistical concepts related to A/B testing and experimentation. - Proficiency in Python or R for advanced data manipulation and modeling. - Excellent communication skills with the ability to translate complex data into executive-level recommendations. - Experience working in a SaaS or consumer-facing technology company is highly preferred.

Languages

English

• Competitive salary and equity package
• Remote-first work culture
• Stipend for home office setup
• Flexible PTO policy
• Learning and development budget
• Early access to cutting-edge AI tools