National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Governance Analyst - Analytics - London

City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Governance Analyst

Data Governance Analyst

Data Governance Analyst - Vice President

Data Governance Analyst - Vice President

Data Governance Analyst - Reigate

Data Governance Analyst

Data Governance Analyst - Analytics - London

Data governance analyst required to focus on data governance, cataloguing key data outputs, and supporting the implementation of data frameworks across the organisation. You'll work with various stakeholders to ensure compliance with regulatory standards like BCBS 239 and enable the organisation to make the most of its data.

Client Details

Data Governance Analyst - Analytics - London

The client is a global financial services organisation with a strong presence in Europe, committed to delivering innovative and sustainable solutions. They value inclusivity and collaboration, offering opportunities to work on meaningful projects in a dynamic and supportive environment.

Description

Data Governance Analyst - Analytics - London

Responsibilities:

As a Data Governance Analyst, you'll:

Identify and catalogue Key Data Outputs across all departments.
Work with Key Data Output owners to plan and track remediation actions.
Support the development and maintenance of the data catalogue using Collibra.
Ensure KDOs meet regulatory and governance standards, including BCBS 239.
Work with stakeholders across the business to understand key metrics and data outputs.
Contribute to the wider Data Governance Framework and engage with colleagues in other regions.
Promote a culture of openness and innovation.Profile

Data Governance Analyst - Analytics - London

To be successful in this role you will need to have the following:

Experience with data governance or EUC reporting governance.
Knowledge of BCBS 239 compliance and data governance frameworks.
Experience using data cataloguing tools like Collibra or KADA.
Background in financial services or similar regulated environment.
Excellent communication and stakeholder engagement skills.
Ability to work independently and as part of a team.
Understanding of metadata, data quality and data management practices.
Knowledge of tools like Alteryx, Power BI, Tableau.
Understanding of cloud platforms (e.g., Google Cloud).
Familiarity with data engineering or data science concepts.

Job Offer

Data Governance Analyst - Analytics - London

The role offers:

Salary: £70k - £95k per annum, depending on experience.
Hybrid Working: 2 days per week in the London office, offering flexibility.
Exciting Projects: Working on business-critical Data Analytics initiatives.
Exposure: Collaborate with senior stakeholders and gain experience across different business functions.
Comprehensive Benefits Package: Includes pension, generous holiday, and additional perks.If you're a passionate Data Governance Analyst and want to be part of an innovative, forward-thinking team, we'd love to hear from you

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.