Senior Data Management Analyst

hace 2 semanas


Madrid, España Tech Rise People A tiempo completo

**About Atradius**:
Atradius provides trade credit insurance, surety and collections services worldwide, and has a presence in over 50 countries. With a 30% global market share of trade credit insurance market, its products contribute to the growth of companies throughout the world, by protecting them from payment risks associated with selling products and services on credit. Atradius has more than 150 offices, access to credit information on 52 million companies worldwide and makes over 22,000 trade credit limit decisions daily.

**Business Unit**:
You will be reporting into the
**Enterprise Data Management **team that sits within the Enterprise Data Function. This is a newly formed function within Atradius. The current priority of the team is to ensure
**insurance regulatory processes**, such as IFRS17 and Solvency II, comply with internal Data Quality Policy.

We are seeking a highly motivated Senior Data Management Analyst with an engineering-focused mind-set to join our team. As a Senior Data Management Analyst, your primary goal is to:

- Understand and map data flows from system to system, including transformations, orchestration, integration, API’s; an
- Work closely with engineering teams to develop and implement effective data management strategies that support the organization’s technical goals.

**Responsibilities**:
You will be responsible for the following:

- Understand and map data flows from system to system, including transformations, orchestration, integration, and API’s.
- Document process flow, procedures, and instructions to ensure the accuracy and quality of data at every stage of the data lifecycle.
- Interpret and operationalise data quality requirements given by the business and ensure they are technically and functionally implemented and where possible automated.
- Use a range of tools and solutions to manage data quality and lead resolution of data deficiencies, including using analytical and conceptual skills to evaluate information gathered from multiple sources.
- Communicate complex data management concepts to both technical and non-technical stakeholders to ensure resolution of data quality changes and defects.
- Lead resolution of data deficiencies, including using analytical and conceptual skills to evaluate information gathered from multiple sources
- Work with a team that operates in an agile manner and in close collaboration with business and IT.
- Ensure all work is documented and auditable
- Promote a better data governance, ownership and accountability culture

**Skills & Experience**:

- Bachelor’s or Master’s degree computer science, information management or related field.
- Minimum of 5 years of relevant work experience in the insurance sector.
- Sound understanding of data management concepts and techniques.
- Experience in managing data quality issues and their resolution.
- Effective communication skills, with the ability to work effectively with variety of stakeholders.
- Comfortable managing SQL, R or Python.
- Exposure to data management tooling, such as Collibra, Informatica, IBM InfoSphere, etc., is desirable.
- Fluent English (spoken and written)
- Ability to travel will also on occasion be required (


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