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  • Data Quality Assurance Specialist - Nava, Asturias - beBee Careers

    beBee Careers
    beBee Careers Nava, Asturias

    hace 6 días

    Default job background

    Título del puesto: Data Oversight Consultant

    Descripción

    Key Responsibilities of a Data Oversight Consultant include designing and implementing controls to ensure data quality and integrity. This role requires strong analytical and problem-solving skills, as well as the ability to communicate complex technical information to non-technical stakeholders.

    A successful Data Oversight Consultant will have experience working with business stakeholders to understand data risk appetite and design appropriate mitigating controls. They will also be able to create comprehensive process documentation to meet relevant requirements.

    This position involves identifying data quality problems, performing root cause analyses, and determining business impact for data defects. Additionally, the consultant will use appropriate tools to create management and executive reporting of applicable controls and control outcomes.

    The ideal candidate will possess intermediate knowledge of structured data, relational databases (SQL), repository tools, and metadata. They will also have the ability to select the most appropriate tools and techniques to ensure data quality in business processes and data flows.

    Beyond the core responsibilities, this role offers opportunities for professional growth and development in tech projects. The company is committed to equal opportunities and strives to eliminate biases of any kind.

    Responsibilities:

    • Designing and implementing controls
    • Supporting UAT testing of implemented controls
    • Ensuring controls have been implemented up to standards
    • Updating controls documentation on a regular basis

    Required Skills and Qualifications:

    • Intermediate knowledge of structured data, relational databases (SQL), repository tools, and metadata
    • Ability to work with business stakeholders to understand data risk appetite and design appropriate mitigating controls
    • Able to create comprehensive process documentation to meet relevant requirements
    • Ability to identify data quality problems, perform root cause analyses, and determine business impact for data defects
    • Able to use appropriate tools to create management and executive reporting of applicable controls and control outcomes
    • Ability to interpret complex technical information and communicate technical concepts to non-technical stakeholders

    Benefits:

    • 100% remote work option

    Others:

    • Knowledge of internal policies applicable to data (e.g., Data Management & Data Governance)
    • Able to select the most appropriate tools and techniques to ensure data quality in business processes and data flows

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