OnHires

Data Analytics

OnHires WorkFromHome

Stellenbeschreibung:

Location: Europe
Job Type: Full-time,Remote

The company is a liquidity and technology provider of solutions for the crypto and foreign exchange (FX) industry. The company specializes in the sphere of B2B services and products, catering to a wide range of clients, including large licensed brokers, crypto exchanges, crypto brokers, forex brokers, hedge and crypto funds, and professional managers.

Key Responsibilities:

  • Build, maintain, and scale data pipelines (ETL/ELT).
  • Develop and maintain dashboards and reports to support decision-making and performance tracking for internal stakeholders, primarily Dealing and CSD departments.
  • Ensure data quality, availability, and proper documentation across all supported sources.
  • Purpose of the request.
  • Deliver new projects/reporting streams that require development and maintenance.

Qualifications & Experience:

  • 3+ years of experience in Data Analytics, Data Engineering, or Business Intelligence roles.
  • Strong proficiency in SQL.
  • Experience with data modeling and data transformation, preferably using DBT or similar tools.
  • Proven expertise in data visualization tools (e.g., Tableau).
  • Solid understanding of ETL/ELT processes and data quality best practices.
  • Communication skills and the ability to collaborate effectively with cross-functional teams.
  • Fluency in English (Advanced level).

Preferably:

  • Experience working with financial and CRM data.
  • Educational background in Mathematics, Economics, or Finance.
  • Familiarity with cloud technologies such as AWS, Azure, or GCP.

Benefits:

  • Competitive salary commensurate with experience.
  • Annual leave as per local employment law.
  • Flexible/hybrid working arrangements.
  • Support for ongoing professional training and regulatory certifications.
  • Performance-based annual bonuses tied to compliance KPIs.

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Stelleninformationen

  • Veröffentlichungsdatum:

    10 Dez 2025
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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