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

Nominate & Attend

Analytics Governance Technical Analyst

London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineering Graduate Scheme 2025

Business Intelligence Analyst (FTC)

Data Analyst

Equity Quantitative Analyst

Senior Data Analyst

Senior Data Analyst

Analytics Governance Technical Analyst** (Contract)

Duration: 12 Months (Possibility for extension)

Location: London/Hybrid (2 days per week on site)

Rate: A highly competitive Umbrella Day Rate is available for suitable candidates

Role Profile

Are you passionate about governance and data? We are seeking an Analytics Governance Technical Analyst to join our dynamic team at SMBC, where your expertise will help shape the future of our data governance practises within the investment banking sector. This is an exciting opportunity to ensure that our Key Data Outputs (KDOs) comply with legal requirements, regulatory standards, and best practises.

Key Responsibilities:

Identify and classify KDOs across all EMEA departments.
Identify opportunities for decommissioning and deduplication of KDOs.
Create baseline assessments for KDOs and identify necessary remediation activities.
Collaborate with KDO owners to agree on remediation activities and track milestones.
Conduct maturity audits and assessments to identify areas for improvement.
Enable departments to clearly identify Key Metrics and challenge existing understandings of metrics.
Establish and maintain a Catalogue of Key Data Outputs, capturing required metadata.
Ensure compliance with regulatory requirements, including BCBS239, and industry best practises.
Facilitate communication and collaboration among stakeholders, from Associates to General Managers.

Essential Skills & Experience:

Proven experience in establishing Analytics Governance or End User Computer (EUC) Governance.
Familiarity with governance frameworks supporting BCBS239 principles; ECB onboarding experience is a plus.
Proficient in using and configuring cataloguing tools, such as Collibra.
Solid background in the financial services industry, with knowledge of data-related regulatory requirements.
Understanding of project management principles, including waterfall and agile methodologies.
Strong stakeholder engagement skills to communicate and achieve buy-in across EMEA.
Team player with the ability to work independently with minimal supervision.
Comprehensive understanding of data management concepts, governance practises, and regulatory requirements.
Analytical mindset with outstanding problem-solving abilities and a creative approach to solutions.
Familiarity with the full Software Development Lifecycle (SDLC) relevant to analytics projects.
Demonstrable experience as a Technical Business Analyst or similar role.
Knowledge of analytics tools like Alteryx, Power Query, Power BI, Power Apps, and Tableau.

Desirable Skills:

Experience developing data-driven dashboards using Power BI or Tableau.
Background in organisations with well-governed self-serve analytics at an enterprise level.
Awareness of emerging trends within the Data Analytics landscape.
Proficient in using Microsoft Office stack for developing analytics products.
Strong data manipulation and preparation skills, with experience in Alteryx or similar applications.
Ability to maintain and support analytics products like Tableau or Power BI Dashboards using version control methodologies.

Candidates will need to show evidence of the above in their CV in order to be considered.

If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team.

We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset.

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.

As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment

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.