Bi Lead (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
BI Lead (Fintech): Designing and delivering impactful dashboards, analytics, and visualizations to help uncover trends, meet regulatory requirements, serve customers, support marketing, and drive informed decision-making across its products with an accent on transforming raw data into strategic intelligence. Focus on building scalable, efficient BI workflows and tools to influence how fast and confidently the company can act in a rapidly changing financial landscape.
Location: On-site in Belgrade
Company
is the global fintech powerhouse behind the world’s largest proprietary payments infrastructure.
What you will do
- Lead efforts to design, maintain, and evolve BI platforms and proprietary databases, making insights accessible and actionable for teams across the company.
- Build reports for regulators, customers, marketing, and internal stakeholders, aligning data outputs with business needs.
- Transform raw data into strategic intelligence, guiding critical business decisions.
- Work closely with cross-functional teams to set the standards for how analytics are delivered.
- Build scalable, efficient BI workflows and tools.
Requirements
- Strong expertise in Power BI (dashboard design, report automation, governance, and optimization).
- Bachelor’s degree in Business Analytics, Statistics, Mathematics, Economics, Engineering, or a related quantitative field.
- 3+ years of experience in data management, BI, database development, ETL, and/or SQL scripting in building reports for regulatory, customer-facing, and marketing.
- Project management and organizational skills.
- Ability to abstract business logic into clear data models and interpersonal skills with the ability to build trusted relationships and influence.
- Ability to support and collaborate with cross-functional, agile teams in a dynamic environment.
- English communication skills.
Nice to have
- Familiarity with cloud infrastructure (AWS, Azure, or GCP).
- Understanding of data modeling, data warehousing, data lakes, and big data.
- Exposure to tools such as Snowflake, Streamlit, or consulting experience.
Culture & Benefits
- is an equal opportunity employer that believes a diverse workforce is central to its success.
- Recruiting decisions are based on experience and skills.
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