Itransition Software Georgia LLC·Тбилиси·11 ч назад
Middle Business Analyst
Ориентир по рынку≈ 1 800 – 2 600 $наш грубый ориентир по 199 вакансиям этого грейда на рынке, без учёта специальности: у работодателя вилка не указана
ГибридMiddleПолная занятость
≈ 1 800 – 2 600 $наша приблизительная оценка
Описание
Подготовить отклик
История
Стоит ли откликаться
Стоит откликнуться, но спросите про деньги
Сумму в объявлении не указали. Сколько платят за похожую работу, видно в разборе. Но в тексте есть формулировки, на которые стоит обратить внимание.
3 из 4 в норме
Вакансия на английскомПереведёт заголовок и описание вакансии на русский
Наша компания
Leading QA Provider: a1qa boasts a team of over 1000 specialists, offering end-to-end QA solutions. Comprehensive QA Expertise: Our services include automated testing, QA management, and coordination of distributed teams for integrative projects. Client-Centric Approach: Specializing in pre-project services, acceptance testing, and IT security auditing, we prioritize customer satisfaction and risk mitigation.
Чем предстоит заниматься
Gather and clarify business requirements, then turn them into clear tasks
Validate data, run QA/QC and find the root cause of anomalies
Build dashboards and reports from customer data
Support customer onboarding, demos, meetings and customer success work
Look into customer requests, data issues and unexpected system behavior
Use AI tools to make analysis and documentation more efficient
Наши требования
4-8+ years as a Data, Business, Product or Solution Analyst
Degree in a quantitative field (Data Analytics, Statistics, Math, CS, Engineering, Economics)
Strong skills in SQL, Excel and 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. Able to work independently in a fast-paced environment
Experience in Energy, Trading, Risk Management or Financial Services
Customer-facing analytics in enterprise SaaS
Python, ML, AI/LLM, predictive analytics or simulation models
Understanding of R², RMSE, MAE, MAPE, confidence intervals and correlation