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 recruitment@tazetec.com