Senior Data Analyst - Governance

This range is provided by dnevo Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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CEO - Perm | Interim | Consulting | Talent Solutions

**PLEASE READ JOB DESCRIPTION**

Location: London (Hybrid Working)

Department: IT – Data Team

Employment Type: Full-time / Permanent

Salary : Circa 65k + Bonus

About the Role

We are hiring aData Team Analystto join a clients growing Data Team within the IT department. This role is a great opportunity for someone with a passion for data governance, quality, and cross-functional collaboration, particularly within the financial services sector.

As a key member of the team, you'll help implement and evolve the organisation’s Data Strategy, focusing on introducing robust data governance frameworks and supporting the business in better understanding and managing its data assets.

Key Responsibilities

• Assist in the development and refinement of Data Governance policies and procedures.
• Maintain and enhance the Data Catalogue, including Business Glossary, Data Lineage, and associated governance components.
• Collaborate with business stakeholders to promote data best practices and ensure clarity on roles and responsibilities.
• Support and coordinate Data Governance meetings, capturing key decisions and follow-up actions.
• Work closely with cross-functional teams on data-related projects and continuous improvement initiatives.
• Identify and investigate data quality issues, contributing to the development of root cause analyses and solutions.
• Stay up-to-date with evolving data technologies, tools, and industry trends.
• Support the definition of data quality methodologies and standards across the business.
• Fulfil other duties as assigned by the Head of IT or General Manager.

About You

We’re looking for a data-driven problem-solver with excellent stakeholder management skills. You’ll ideally bring:

• A Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Information Systems, Mathematics, Finance, Engineering, or Business).
• Prior experience as a Business Analyst or Data Analyst within a financial institution.
• A strong grasp of financial services processes and how data underpins decision-making.
• Exceptional communication and collaboration skills.
• Analytical thinking, curiosity, and attention to detail.
• Experience with data cataloguing tools and lineage mapping (preferred).
• Proficiency in SQL, data modelling, and database design (preferred).

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionInformation Technology

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