Обязанности понятны, но роль охватывает бизнес-анализ, качество данных, отчётность и поддержку клиентов; в аутсорсинге также возможна смена проектов и заказчиков.
?Широкий круг задач
Актуальные инструменты
?Аутсорсинговая среда
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Middle Business Analyst (SQL/Tableau/Power BI): Turning customer requirements and data into clear tasks, dashboards, reports, and measurable business results with an accent on data validation, quality analysis, and stakeholder collaboration. Focus on investigating anomalies, supporting customer-facing analytics, and using AI tools to improve analysis and documentation.
Location: Hybrid in Baku, Azerbaijan
Company
Itransition Software Georgia provides QA services including automated testing, QA management, distributed-team coordination, acceptance testing, pre-project services, and IT security auditing.
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 of data issues or unexpected system behavior.
Build dashboards and reports from customer data, including KPIs and executive summaries.
Support customer onboarding, product demos, meetings, and customer success activities.
Own analytical initiatives end to end, including projects with unclear requirements and measurable business impact.
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 a quantitative field such as Data Analytics, Statistics, Mathematics, Computer Science, Engineering, or Economics.
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 and creating KPIs and executive summaries.
Experience owning initiatives end to end, including when requirements are unclear, 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
Hybrid work format in Baku.
Full-time position supporting customer-centric QA and analytics services.
Work in a fast-paced environment with independent ownership of initiatives.
Collaboration with customers, business stakeholders, and engineering teams.
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