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

Nominate & Attend

Data Analyst - AMS Deutsche Bank

Jobs via eFinancialCareers
London
1 week ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst AMS Deutsche Bank London, United Kingdom

Apply now

Posted 4 days ago Hybrid Job Contract Negotiable

AMS is the world's leading provider of Talent Acquisition and Management Services. Our Contingent Workforce Solutions (CWS) service, partner with Deutsche Bank to support contingent recruitment processes.
On behalf of Deutsche Bank, we are looking for a

Data Analyst

for an initial 6 month contract based in the bank's London offices on a hybrid working pattern of 3 days per week in the office and 2 days from home.
Deutsche Bank is a global banking business with strong roots in Germany and operations in over 70 countries. Their large but focused footprint gives an established position in Europe plus a significant presence in the Americas and Asia Pacific.
Purpose of the role:
The Compliance and AFC Data Office is responsible for Data Management covering key functions of AFC, Compliance and Legal. The team supports these functions in establishing & improving Data Management to achieve key business outcomes including effective operation of key controls. The CAFC Data Management team is responsible for implementation of and adherence to DB's Enterprise Data Management Framework: controls, culture and capabilities which in turn drive target outcomes of improved Data Quality, reduction in audit and regulatory findings, stronger more effective controls and improved operational efficiency.
As a member of the Divisional Data Office team, the role holder will support our EDM Programme execution. The EDM programme involves performing a F2B current state documentation uplift & gap assessment against the EDM framework for material data scope, identifying gaps and defining remediation plans.
Primarily engaging SMEs in C-AFC, technology and Lines of Business to analyse and document data scope and requirements, lineage, and controls. Bench-marking current state to standards and identifying gaps & defining remediation plans.
Key responsibilities
Perform the current state documentation & gap assessment including
Analysis and documentation of data scope and requirements via asset catalogue in Collibra and obtain relevant certifications
Capture and visualisation in Solidatus of data lineage, ensuring alignment to metadata sources, and obtain relevant certifications
Analysis and cataloguing of data controls, and assessing coverage against standards and requirements
Assessment of control monitoring, exception and DQ issue management
Document gaps identified, analyse and support defining remediation plans
Skills and Qualifications
Extensive experience in all aspects of Data Management best practice with in-depth understanding of data risks and controls and how they manifest in a large Financial Services organisation
Knowledge of industry standard Data Management Frameworks such as DCAM or DAMA, preferably with qualification.
Experience executing data management including:
Cataloguing data assets for business, technology, and governance, ideally using Collibra.
Documenting and maintaining Data Lineage, ideally using Solidatus, with the ability to understand lineage, data risks and controls to present to business colleagues.
Documenting and assessing data controls including design and operating effectiveness & monitoring
Excellent written and verbal communication skills (including PowerPoint) with the ability to explain complex concepts to non-technical colleagues
Ability to appropriately partner with colleagues across different functions, locations & levels.
Must be able to work independently as well as part of a team and virtual working groups
Our values define the working environment we strive to create - diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential.
We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs, and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.
This client will only accept workers operating via a PAYE engagement model.
AMS's payroll service is in partnership with Giant, we have worked with them for many years and have good processes in place to ensure you get the best service. If you are successful in your application for this role, your contract will be via Giant.
AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment Business.

#J-18808-Ljbffr

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.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

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.