Назад

Middle Business Analyst

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Georgia
hhВакансия с HeadHunter. Контакт ведёт на hh.ru

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Описание вакансии

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TL;DR
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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