23 часа назад
Senior Data Analyst (Wholesale Banking)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst (Wholesale Banking): Analyzing large-scale datasets and developing scalable reporting and analytical solutions for Wholesale Banking with an accent on SQL, Python, PySpark, BI platforms, and data quality. Focus on translating business requirements into actionable insights, supporting machine learning and AI initiatives, and communicating findings to international stakeholders.
Location: Istanbul, Türkiye; hybrid work model with two office days per week dur three weeks of the month and one fully remote week each month
Company
is an international bank group operat in approximately 40 countries, with Hubs provid scalable expertise in software development, data management, operations, and non-financial risk.
What you will do
- Analyze large and complex datasets us SQL, Python, and PySpark.
- Develop report solutions, dashboards, and visualizations with Power BI, Cognos, or similar BI platforms.
- Identify trends, anomalies, and improvement opportunities across Wholesale Bank processes.
- Translate business requirements into scalable analytical solutions and actionable recommendations.
- Collaborate with Product Managers, Process Leaders, Data Engineers, and Data Scientists on analytics products, predictive analytics, machine learn, and AI-enabled solutions.
- Support data quality initiatives, communicate finds to stakeholders, mentor junior analysts, and contribute to analytics best practices.
Requirements
- 4–6 years of experience in data analytics, report, statistics, or a related field.
- Strong SQL skills and hands-on Python experience, particularly PySpark.
- Experience with data visualization and BI platforms such as Power BI, Tableau, Cognos, or Superset.
- Knowledge of statistical analysis, report methodologies, quantitative problem-solv, and large-scale data environments.
- Strong communication and stakeholder management skills, with the ability to work with technical and non-technical stakeholders.
- Advanced English proficiency required.
Nice to have
- Experience with dbt, modern data platforms, financial services, bank analytics, or data pipelines.
Culture & Benefits
- International projects and collaboration across 's global analytics community.
- 14 days of welcome leave in the first year and self-driven career development opportunities.
- Continuous learn, English language development support, and access to international opportunities.
- Private health insurance for employees and families, private pension plan, meal card, transportation allowance, and MultiSport membership.
- Collaborative and flexible work environment with remote work opportunities throughout August.
hirify.global-process">Hir process
- Submit an application through the careers page and Workday.
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