Data Analyst / Продуктовый аналитик (Product)

We are looking for a highly analytical and detail-oriented Product Data Analyst to join our team. The successful candidate will analyze product-related data, generate insights, and provide actionable recommendations to improve product performance, user experience, and overall business growth. You will collaborate with cross-functional teams including product management, engineering, marketing, and sales to support data-driven decision-making.

Key Responsibilities:

• Data Collection & Analysis: Collect, process, and analyze large datasets related to product performance, user behavior, and market trends.

• Performance Monitoring: Track and analyze key product metrics (KPIs), such as customer retention, product usage, and user engagement.

• Insights Generation: Create detailed reports and dashboards to communicate trends, anomalies, and insights to stakeholders.

• Data-Driven Strategy: Work closely with the product team to identify opportunities for product enhancements, optimizations, and new feature development.

• A/B Testing: Design, execute, and evaluate A/B tests to measure the impact of product changes and new features.

• Customer Segmentation: Perform customer segmentation analysis to understand different user cohorts and personalize the product experience.

• Forecasting & Modeling: Develop predictive models to anticipate user behavior, product usage, and market trends.

• Collaboration: Partner with product managers, engineers, and other teams to inform and align data-driven decisions.

• Data Quality: Ensure data accuracy, integrity, and consistency in reporting by maintaining clean and structured data.

Qualifications:

• Education: Bachelor’s degree in a quantitative field such as Data Science, Mathematics, Statistics, Economics, or Computer Science. A master’s degree is a plus.

• Experience: 4+ years of experience in a data analyst / product analyst role / business intelligence, preferably within product teams.

• Technical Skills:

  • Experience with product analytics tools such as Amplitude.

  • Experience with data visualization tools such as Tableau, Power BI, or Looker.

  • Clear understanding of product metrics.

  • Strong knowledge of statistical analysis and techniques.

  • Proficiency in data querying languages like SQL.

  • Familiarity with scripting languages (Python, R) is a plus.

  • Experience with A/B testing and experimentation frameworks.

• Analytical Mindset: Strong analytical skills with a deep understanding of statistical methods and quantitative data analysis.

• Problem Solving: Ability to interpret complex data, identify patterns, and solve product-related problems.

• Communication Skills: Excellent verbal and written communication skills to present insights and recommendations to non-technical stakeholders.

• Attention to Detail: Strong attention to data quality and accuracy.

Preferred Qualifications:

• Experience working in a tech or e-commerce company.

• Familiarity with product lifecycle and agile development processes.

• Knowledge of machine learning or advanced statistical techniques is a plus.

Conditions:

• Competitive remuneration.
• Private medical insurance.
• Full relocation support, including work permit arrangements.
• Welcome baby bonus.
• Birthday voucher.
• Fully equipped office with daily fruits, pizza on Thursdays and snacks on Fridays.
• Opportunities for professional growth.
• Friendly working environment.