Задачи в клиентской аналитике описаны достаточно ясно, но широкий диапазон опыта и сочетание бизнес-анализа, проверки данных, отчетности и customer success размывают фокус роли.
Middle Business Analyst (SQL/Tableau/Power BI): Translating customer and stakeholder requirements into clear tasks, dashboards, reports, and measurable business outcomes with an accent on data validation, statistical analysis, and customer-facing delivery. Focus on investigating anomalies and system behavior, clarifying ambiguous requirements, and using AI tools to improve analysis and documentation.
Location: Tbilisi, Georgia; hybrid work
Company
Provides end-to-end QA solutions, including automated testing, QA management, acceptance testing, pre-project services, distributed team coordination, and IT security auditing.
What you will do
Gather and clarify business requirements and convert them into clear engineering tasks.
Validate data, perform QA/QC, investigate anomalies, and identify root causes.
Build dashboards and reports from customer data.
Support customer onboarding, demos, meetings, and customer success activities.
Investigate customer requests, data issues, and unexpected system behavior.
Use AI tools to improve analysis and documentation efficiency.
Requirements
4–8+ years of experience as a Data, Business, Product, or Solution Analyst.
Degree in Data Analytics, Statistics, Mathematics, Computer Science, Engineering, Economics, or another quantitative field.
Strong SQL and Excel skills, plus Tableau and/or Power BI.
Knowledge of statistics, regression, forecasting, and data quality metrics.
Experience working directly with customers and stakeholders, creating KPIs and executive summaries.
Experience owning initiatives end to end, including unclear requirements, with measurable business impact.
Excellent spoken and written English and the ability to work independently in a fast-paced environment.
Nice to have
Experience in Energy, Trading, Risk Management, or Financial Services.
Customer-facing analytics experience in enterprise SaaS.
Python, ML, AI/LLM, predictive analytics, or simulation model experience.
Understanding of R², RMSE, MAE, MAPE, confidence intervals, and correlation.
Culture & Benefits
Full-time hybrid work in Tbilisi.
Work in a customer-centric QA environment focused on satisfaction and risk mitigation.
Collaboration with distributed teams on integrative projects.
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