Роль сочетает аналитику и работу с клиентами, но широкий диапазон требований к опыту, ожидание быстрого темпа и отсутствие зарплаты затрудняют оценку уровня и условий.
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Зарплата не указанаШирокий круг задачАктуальные инструменты
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Middle Business Analyst (SQL/Tableau/Power BI): Translating customer and business requirements into clear tasks, validated data, dashboards, and reports with an accent on data quality, statistical analysis, and stakeholder communication. Focus on investigating anomalies and unexpected system behavior, supporting customer onboarding, and using AI tools to improve analysis and documentation.
Location: Hybrid in Almaty, Kazakhstan
Company
QA provider delivering end-to-end quality assurance, automated testing, QA management, acceptance testing, and IT security auditing services.
What you will do
Gather and clarify business requirements and translate them into actionable tasks.
Validate data, perform QA/QC, investigate anomalies, and identify root causes.
Build dashboards, reports, KPIs, and executive summaries from customer data.
Investigate customer requests, data issues, and unexpected system behavior.
Support customer onboarding, product demonstrations, meetings, and customer success activities.
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 a related 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, owning initiatives end to end, and delivering 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, machine learning, AI/LLM, predictive analytics, or simulation model experience.
Understanding of R², RMSE, MAE, MAPE, confidence intervals, and correlation.
Culture & Benefits
Work in a hybrid format from Almaty.
Collaborate with customers, business stakeholders, engineering teams, and distributed QA specialists.
Work across quality assurance, automated testing, acceptance testing, and IT security projects.
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