Today - 07 Oct
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Middle Data Analyst
Tbilisi
Application information

Information about vacant position:

  • Specialization/Specialty: Accounting / Finance Data Analytics in Accounting
  • Industry / Field: Software & IT Services Information Technology & Services
  • Seniority level: Mid-Level
  • Schedule: Full-time
  • Employment form: Open-ended contract
  • Work Location: Work from home

Employer requirement:

  • Experience is mandatory: from 3 to 4 years
  • Specialization/Specialty(Mandatory):
    Accounting / Finance Data Analytics in Accounting
  • Industry / Field(Mandatory):
    Software & IT Services Information Technology & Services
  • Seniority level: Mid-Level
  • Education level(s): Bachelor
  • Languages: English

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

    Accounting / Finance
    Data Analytics in Accounting
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