Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Прозрачная и структурированная роль в финтехе. Фокус на продуктовой аналитике и современный BI-стек делают эту вакансию отличным вариантом для профессионального роста.
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Трендовый доменСовременный стекПонятный scopeБонусы и развитиеЗарплата не указана
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Analyst (Fintech): Analyzing complex datasets and building dashboards, reports, and visualizations for product performance, client behavior, acquisition funnels, and lifecycle analysis with an accent on SQL, Power BI, DAX, and dimensional modeling. Focus on translating ambiguous business questions into actionable recommendations, validating data quality, and improving reporting capabilities.
Location: Limassol, Cyprus
Company
hirify.global is a multi-regulated broker providing access to CFDs and exchange-traded derivatives across multiple asset classes, including Forex, stocks, indices, commodities, cryptocurrencies, bonds, futures, and options.
What you will do
Collaborate with stakeholders and Product Owners/Analysts to clarify business requirements and support data-driven decisions.
Analyze large and complex datasets to identify trends, patterns, and actionable insights.
Develop and maintain dashboards, reports, and visualizations, primarily using Power BI.
Support data-driven solutions that improve business performance and operational efficiency.
Validate data accuracy and consistency and work with BI colleagues to improve reporting processes.
Requirements
Bachelor’s degree in Mathematics, Statistics, Computer Science, Information Systems, or a related quantitative discipline.
2–4 years of experience as a Data Analyst or in a similar analytical role, preferably in Finance or FX.
Strong SQL skills and knowledge of dimensional modeling, semantic models, and star schemas.
Working knowledge of DAX and Power BI data modeling principles.
Ability to translate ambiguous business questions into structured analytical approaches and recommendations.
Excellent written and spoken English is required.
Nice to have
Experience with statistical analysis, A/B testing, financial services, trading, or FX data.
Python or R skills for data analysis and automation.
Knowledge of machine learning concepts, data governance, DataOps, or Agile methodologies.
Familiarity with Databricks or similar cloud platforms.
Experience with market, competitor, or benchmarking analysis.
Culture & Benefits
Career development opportunities in a global, fast-growing organization.
Remuneration package based on qualifications and experience, including a 13th salary and discretionary performance bonuses.
Employee training and development program.
Medical insurance covering outpatient, inpatient, and dental care.
Team activities, provident fund participation, birthday and loyalty benefits, and access to SportBenefit.
Hiring process
Initial HR interview.
Task assessment and technical interview.
Final interview with top management.
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