3 дня назад
Middle Business Analyst
hhВакансия с HeadHunter. Контакт ведёт на hh.ru
Мэтч & Сопровод
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Описание вакансии
Текст:
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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