Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Governance Analyst

CHANEL
City of London
1 week ago
Create job alert

We are preparing Chanel for the future by delivering a global, harmonised, cloud-based Finance and Operations ERP solution through Dynamics 365 Finance & Operations. Central to this transformation is the implementation of a comprehensive data governance framework, encompassing data ownership, quality, retention, a unified data dictionary, supported by robust processes, procedures, and documentation.


This is a role based in our London office, reporting to our Global D365 Data Lead, with responsibility for all data governance initiatives linked to this technical implementation across multiple regions and markets. You will engage closely with a diverse range of stakeholders, ensuring effective communication and driving change management to support successful outcomes.


In addition to your expertise in data, your ability to collaborate and influence will be a key to success in this role. As data becomes ever more critical — especially with the rapid advances in AI and analytics — this role offers you the chance to lay the groundwork for high-quality, accessible data that will power innovation at Chanel.


What Impact You Create At Chanel

  • Promote the adoption of a D365 data governance framework with Chanel regions and markets, while ensuring the quality and priority of our data within financial and operational processes.
  • Ensure consistent data handling within the organisation and have a lasting impact on data consistency at Chanel by collaborating with our Global Data Governance team.
  • Make tangible improvements to the company's day-to-day activities by supporting the creation of new data governance processes and standards, and guiding the activities of data owners and stewards.

You are energised by

  • Working in a fast‑paced, agile environment, where you are exposed to a diverse range of topics related to data and data governance.
  • Understanding the data ecosystem and where there may be data governance gaps that need addressing; having the freedom for creative problem solving and identifying opportunities.
  • Exploring regional variations in technology and business processes, and understanding the impact this has on data governance.
  • Connecting with various stakeholders across the business, putting yourself in their shoes and adapting your communications based on their priorities.

What You Will Bring

  • Strong data analytics and reporting skills (preferably Power BI).
  • Engaging presenter/communicator, with passion for storytelling and the ability to adapt to different audiences.
  • Knowledge of key data governance concepts: such as Data Quality, Master Data Management and Data Ownership.
  • Intermediate level of programming (preferably Python and SQL).
  • Team player with willingness to adapt, learn and challenge yourself.
  • Ability to manage your time, allowing you to handle multiple priorities and topics simultaneously.

What Chanel Can Offer You

  • Work closely with teams across different regions, gaining insight into global finance and operations in a dynamic, matrixed environment.
  • Grow essential soft skills—such as collaboration, prioritisation, and stakeholder management—by working with colleagues who bring diverse perspectives and needs, and by aligning regional priorities to a global vision.
  • Make a meaningful, lasting impact on how a global organisation manages its data, shaping best practices and setting standards that support Chanel’s future.

At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience and potential you could bring to Chanel.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Governance Analyst

Data Governance Analyst

Data Governance Analyst

Data Governance Analyst

Data Governance Analyst

Data Governance Analyst

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 Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.