Data analyst

The Data Analyst will be responsible for collecting, interpreting and presenting data related to product usage, platform performance and digital operations. The role will involve examining how users interact with digital products, evaluating the effectiveness of new features and identifying patterns that can help improve functionality and overall product performance. Working closely with Product Managers, UX specialists and technical teams, the successful candidate will turn complex datasets into practical recommendations that support product development and continuous improvement.

• Analyse product usage data to understand how customers interact with digital platforms and services.
• Monitor product performance indicators, including feature adoption, engagement, retention and conversion.
• Identify usage patterns, anomalies and areas where product functionality could be improved.
• Develop dashboards and recurring reports to communicate product performance to internal stakeholders.
• Work with product teams to define relevant KPIs and establish appropriate measurement frameworks.
• Evaluate the impact of new features, platform updates and product changes using quantitative analysis.
• Support A/B testing activities and interpret experimental results.
• Extract and manipulate datasets using SQL and other analytical tools.
• Collaborate with UX, engineering and business teams to investigate product-related issues and opportunities.
• Present findings and recommendations in a clear and accessible format to support product decisions.

• Bachelor's degree in Data Analytics, Computer Science, Mathematics, Statistics, Information Systems or a related discipline.
• Previous experience in data analysis, product analytics, digital analytics or a similar analytical position.
• Good working knowledge of SQL and experience querying structured datasets.
• Familiarity with data visualisation tools such as Power BI, Tableau or Looker.
• Understanding of product performance metrics, including engagement, retention, adoption and conversion.
• Ability to interpret quantitative data and identify meaningful trends and patterns.
• Familiarity with A/B testing, experimentation or product measurement methodologies.
• Strong problem-solving skills and attention to detail.
• Ability to communicate analytical findings to stakeholders from different business areas.
• Будет плюсом: Experience with Python or R, and familiarity with analytics platforms such as Google Analytics or Mixpanel, would be advantageous

• Условий в вакансии нет