Analytics Governance Analyst

London
1 month ago
Create job alert

Role: Analytics Governance Analyst

Location: London, 2-3 days per week on site required

Duration: Until 31st March 2026

Rate: £600.00 - £650.00 through umbrella company

This is a greenfield opportunity - ideal for someone who enjoys the challenge of establishing new frameworks, collaborating with stakeholders across multiple business units, and making a tangible impact on how data is managed, catalogued, and trusted.

What You'll Be Doing:

Identifying and classifying Key Data Outputs (KDOs) across all departments - including dashboards, models, and key reports.

Establishing and maintaining a KDO Catalogue, capturing metadata and ensuring compliance with data governance policies and regulatory standards.

Supporting the development of a new Analytics Governance Framework that aligns with broader Data Governance initiatives and BCBS 239 principles.

Collaborating with stakeholders at all levels - from Associates to General Managers - to embed good governance practices and drive cultural change.

Driving remediation plans, supporting change management, and contributing to a broader multi-year programme preparing for regulatory onboarding.

Encouraging an open, transparent data culture that promotes innovation and trusted analytics across the organisation.

What We're Looking For:

Experience in Analytics Governance or End-User Computing (EUC) Reporting Governance within a complex organisation.

Familiarity with BCBS 239 and data-related regulations in financial services; ECB onboarding experience is a plus.

Strong knowledge of data governance tools such as Collibra, and concepts like metadata, data quality, and cataloguing.

Confident stakeholder engagement skills and the ability to challenge the status quo constructively.

Solid understanding of the Software Development Lifecycle (SDLC) in relation to analytics and reporting solutions.

An analytical mind with the enthusiasm to solve problems and deliver results.

Strong understanding of EUC governance

Why Apply?

This is more than a governance role - it's an opportunity to shape the future of data in a large, regulated organisation. You'll work in a collaborative, forward-thinking team that values innovation, transparency, and integrity. If you're driven by impact, challenge, and the power of data to transform decision-making - we'd love to hear from you.

Candidates will ideally show evidence of the above in their CV to be considered please click the "apply" button.

Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive

Related Jobs

View all jobs

Credit Risk Analyst

Business Intelligence and Reporting Analyst

Data Engineer

Senior Data Analyst

Data Analyst – Motorsport

CargoWise Master Data Analyst

Get the latest insights and jobs direct. Sign up for our newsletter.

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 at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.