Middle Data Analyst

Are you looking for a space for innovation, diversity, and self-development? Then Tazetec has the right challenge for you! Your profile:

3–4 years of hands-on experience as a Data Analyst, and the ability to demonstrate skills and competence in: - Advanced SQL in Amazon Redshift — window functions, CTEs, subqueries, query optimisation, and working with large-scale datasets; - Experience with BI tools (Power BI, Tableau, Looker, or similar) - working with dashboards and using them to extract insights; - Proficiency in Excel: advanced pivot tables, vlookups and executive-level reporting; - Solid understanding of A/B test analysis — interpreting p-values, confidence intervals, and effect sizes; experience evaluating pre-test group balance and flagging randomisation issues; - Practical use of AI tools in analytical workflows: LLMs for insight generation, AI-assisted querying, prompt engineering for data tasks; - Strong data quality mindset — ability to sense-check numbers, investigate inconsistencies, and ensure analytical accuracy; - Clear English communication, written and verbal (upper-intermediate+).

Bonus points for: - Familiarity with Amazon QuickSight: navigating dashboards, using built-in features (Q / flow), filters, and calculated fields; - Exposure to EasyMorph or similar ETL/data preparation platforms.

Soft skills: - High ownership and autonomy — you manage your tasks end-to-end without hand-holding; - Structured analytical thinking — you break down ambiguous business questions into clear data problems; - Proactive communication — flagging anomalies, pushing back on flawed assumptions, and keeping stakeholders aligned; - Ability to manage multiple priorities and deliver under deadlines in a fast-paced environment; - Collaborative mindset — comfortable working across teams and supporting junior colleagues.

Your day-to-day contribution: - Design and own end-to-end analytical workflows in Amazon Redshift — complex multi-step SQL: window functions, CTEs, large-scale joins, and performance tuning; - Conduct deep-dive behaviour analyses: segmentation, RFM modelling, cohort analysis, LTV forecasting, and churn prediction; - Analyse A/B test results — interpret statistical significance, evaluate group comparability, identify confounding factors, and deliver clear recommendations to stakeholders; - Integrate and actively apply AI tools into day-to-day analytical work: prompt engineering, AI-assisted SQL generation, automated insight summarisation; - Translate complex data findings into clear, actionable outputs for non-technical stakeholders via Excel reports and presentations; - Learn and work in EasyMorph for reporting and data preparation tasks as part of team onboarding.

What's next: - I step: HR interview; - II step: technical interview (30 minutes); - III step: introduction to the team (1.5 hours); - IV step: final decision.

Our benefits package: - Inspiring and diverse culture surrounded by experienced and enthusiastic colleagues; - Flexible working hours to ensure your work-life balance; - Ability to choose to work remotely or at the office; - Star players/Top Salary policy; - Unlimited paid vacation days; - An attractive package of medical insurance; - Inspiring and diverse culture surrounded by experienced and enthusiastic colleagues; - Opportunities for personal and professional development: monthly compensation for your leisure activities, fully paid courses and workshops, etc; - An active corporate life: team-buildings, sports activities, corporate parties, etc; - A collaborative and welcoming environment for your initiatives.

Are you ready to take on this challenge? Send your English resume to