Data Product analyst
Listed on 2026-10-18
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IT/Tech
Data Analyst, IT Business Analyst, Data Warehousing, Data Engineering
The Data Products Analyst supports the design, delivery, validation, and continuous improvement of data products across EMEA.
The role ensures that data products are clearly defined, meet business requirements, comply with data governance and quality standards, and provide trusted, actionable insights to users.
As a new capability within the EMEA Data Office, the role will help shape the future of Data Products across the bank. The successful candidate will bring a collaborative and open approach, constructively challenge existing ways of working, and help drive data-led innovation and business outcomes.
The EMEA Data Office was established in 2022 to build and strengthen the bank’s data capabilities across EMEA. Having initially focused on Data Architecture, Data Management, Governance and Data Quality, the Data Office is now focused on enabling the bank to use data more effectively and innovatively.
The Data Office currently has approximately 40 permanent employees and around 150 people in total, with ambitions to grow further over the next 1–2 years.
Key Responsibilities- Gather and translate business requirements into data product requirements, definitions, metrics, and transformations.
- Analyse and validate data to ensure accuracy, completeness, and fitness for purpose.
- Support the design, development, testing, and implementation of data products.
- Maintain data dictionaries, lineage, business definitions, and other product documentation.
- Ensure alignment with data governance, quality, and control standards.
- Support stakeholders with data queries, UAT, release validation, and post-implementation activity.
- Use user feedback and product insights to drive continuous improvement.
- Work collaboratively across business, data, technology, and governance teams.
- Experience working across a data product lifecycle.
- Understanding of data models, transformations, data quality, and governance.
- Strong business and/or data analysis skills.
- Excellent communication and stakeholder management skills.
- Ability to translate technical concepts into clear business outcomes.
- Strong problem-solving skills and attention to detail.
- Collaborative mindset with the confidence to challenge the status quo constructively.
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