Назад

Middle Business Analyst

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Azerbaijan
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): Connecting customers, business stakeholders, and engineering teams by translating requirements and customer data into clear tasks, dashboards, reports, and measurable business results with an accent on data validation, QA/QC, and customer-facing analytics. Focus on finding root causes of anomalies, defining KPIs and executive summaries, supporting onboarding and demos, and using AI tools to improve analysis and documentation.

Location: Hybrid in Baku, Azerbaijan

Company

Provides end-to-end QA services, including automated testing, QA management, acceptance testing, IT security auditing, and coordination of distributed teams.

What you will do

  • Gather and clarify business requirements and translate them into clear engineering tasks.
  • Validate data, perform QA/QC, investigate anomalies, and identify root causes.
  • Build dashboards and reports using customer data.
  • Support customer onboarding, product demos, stakeholder 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, Excel, and Tableau and/or Power BI skills.
  • Knowledge of statistics, regression, forecasting, and data quality metrics.
  • Experience working directly with customers and stakeholders, creating KPIs and executive summaries, and owning initiatives end to end.
  • Excellent spoken and written English required. Ability to work independently in a fast-paced environment.

Nice to have

  • Experience in Energy, Trading, Risk Management, Financial Services, or enterprise SaaS analytics.
  • Python, machine learning, AI/LLM, predictive analytics, or simulation model experience.
  • Understanding of R², RMSE, MAE, MAPE, confidence intervals, and correlation.

Culture & Benefits

  • Client-centric work focused on customer satisfaction and risk mitigation.
  • Collaboration with customers, business stakeholders, and engineering teams.
  • Hybrid work format in Baku.

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