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WhiteBIT

Open 48d

Head of Data and Business Intelligence (EU)

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Description

We are the creators of a new fintech era!
Our mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,500 professionals united by a shared vision of shaping the future.
We are building our own blockchain ecosystem to ensure maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies.
Our official partners include Juventus, FC Barcelona, Lifecell, FACEIT, and VISA.
Join us as a Head of Data & Business Intelligence.

Requirements:

  • 8+ years of experience in Data Analytics, Business Intelligence, Management Reporting, Data Governance, or a related field.
  • At least 3 years of experience leading a Data, BI, or Analytics team.
  • Demonstrated experience building a Data/BI function from scratch or leading a substantial transformation of one; experience only maintaining a mature function is not sufficient for this mandate.
  • Experience in an international, multi-entity, multi-business, or multi-project organization with complex stakeholder and reporting needs.
  • Proven experience developing executive dashboards, management reporting, KPI architectures, metrics governance, and business-performance analysis.
  • Strong understanding of financial and commercial metrics, including revenue, margin, contribution margin, CAC, LTV, churn, ARPU, conversion, and unit economics.
  • Hands-on experience with Power BI, Tableau, Looker, or comparable BI platforms.
  • Strong working knowledge of SQL, data modelling, semantic layers, data warehouses, data marts, and data-integration principles.
  • Experience establishing data-quality controls, data catalogues, data ownership, and governance practices.
  • Experience supporting forecasting, pricing, investment analysis, market-entry decisions, or scenario modelling is highly desirable.
  • Ability to translate ambiguous business questions into scalable analytical solutions and communicate complex findings in clear business language.
  • Strong systems thinking, commercial judgement, prioritization, stakeholder management, and influencing skills; confidence to challenge inconsistent assumptions and unsupported conclusions.
  • Track record of building teams and capabilities in an environment of high ambiguity and evolving priorities.
  • Bachelor’s degree in Data Analytics, Computer Science, Economics, Finance, Mathematics, Statistics, Business Administration, or a related field; relevant professional qualifications are an advantage.

Responsibilities:

  • Build the Data & BI function from scratch: define its target operating model, team structure, roles, governance, processes, priorities, service model, and development roadmap.
  • Recruit, lead, and develop the Data & BI team; manage capacity, performance, capability development, and delivery commitments.
  • Create and maintain a Group-wide metrics framework and dictionary covering definitions, formulas, owners, official sources, refresh frequency, and approval status.
  • Design the KPI architecture and KPI trees for the Group, businesses, projects, functions, and locations.
  • Establish a single source of truth for management reporting and define the official systems, semantic models, and analytical data layers used for decision-making.
  • Deliver scalable executive and management reporting, priority dashboards, and analytical solutions covering financial, commercial, growth, operational, location, and risk performance.
  • Establish data-quality rules, monitoring routines, issue ownership, and escalation processes; coordinate resolution of inconsistencies with business and system owners.
  • Reduce recurring manual and duplicated reporting through standardization, automation, and reusable analytical products.
  • Translate strategic and operational business questions into clear analysis, scenario models, forecasts, and decision-ready recommendations.
  • Define functional requirements for BI tools, data warehouses, data marts, semantic layers, and integrations in cooperation with technology teams.
  • Enable responsible self-service analytics through standardized dashboards, documentation, training, access principles, and data-literacy initiatives.
  • Develop practical standards for experiment measurement and ensure that analytical conclusions are supported by documented data and methodology.
  • Prioritize analytical demand based on business value, urgency, data readiness, and available capacity; monitor adoption, reliability, and value of Data & BI products.

Working terms
Immerse yourself in Crypto & Web3:
Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
Gain unique experience and be part of global transformations.
Drive Innovations:
Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
Modern equipment.
Comfortable working conditions, and an inspiring environment to help you thrive.
22 business days of paid leave.
Additional days off for national holidays.
Health insurance.

Skills

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See also