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

Nominate & Attend

Data Analytics Governance Analyst Banking

City of London
1 week ago
Create job alert

Data Analytics Governance Analyst Banking London

This is a new and exclusive opportunity for a Data Analytics Governance Analyst to join my thriving banking client as they expand their award-winning data analytics team.

You will bring your passion for data and governance and focus on key data BCBS239 standards Key Data Outputs (KDOs), End User Computing (EUC)) Reporting Governance, and Collibra to truly own the data assessment, and own the data catalogue

Role details

Job title- Data Analytics Governance Analyst
Permanent salary £70-85,000
Industry- Investment Banking
Location- London city and home working hybrid 2 /3 days a week working hybrid
Experience essential- key data BCBS239 standards, Key Data Outputs (KDOs), End User Computing (EUC)) Reporting Governance, and Collibra

We do also have a data governance manager role live within the same team, so please do send through your CV if this if of interest as well

As the Data Analytics Governance Analyst, you will have a key voice to ensure that Key Data Outputs (KDOs) (including all of our important metrics, reports, dashboards and models) can be catalogued and comply with legal requirements, regulatory standards and best practices.

This is a very technically hands on role to control the assessments and the catalogues, which will include Collibra, Alteryx, Power Query, Power Automate, Power BI, Power Apps and Tableau

This is a really interesting role within a thriving, award-winning team so will bring superb career opportunities

Knowledge, Skills, Experience and Qualifications

Experience related to Analytics Governance or EUC Reporting Governance, for other organisations.
Experience working with governance frameworks supporting BCBS239 principles. Experience of European Central Bank (ECB) onboarding would be a plus.
Experience in using and configuring cataloguing tools, such as Collibra.

So, if you like a challenge and want to continuously grow and develop in a role where you will be supported along the way by a dynamic and diverse team, apply today!!

For more information and the chance to be considered, please do send through a CV through

.

To find out more about Huxley, please visit

Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

Related Jobs

View all jobs

Data Analytics Governance Analyst Banking

Analytics Governance Technical Analyst - AVP

Transaction Data Governance Analyst

Data Governance Analyst - Vice President

Data Governance Analyst - Vice President

Lead Credit Risk Strategy Analyst

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.

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.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.