Data Operations Analyst

McDonald's
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer (Data Science)

Senior Quantitative Analyst, Data Science - NESO

Senior Quantitative Analyst, Data Science - NESO

Senior Data Science Analyst - Shipping

Machine Learning Operations Engineer

Data Scientist – Experimentation Framework

Company Description: McDonald's has run its business in the UK since 1974 and celebrates its 50th anniversary this year. The business currently operates over 1,450 restaurants across the UK and Ireland, serving almost four million customers each day. McDonald's is one of the UK's largest private sector employers, employing over 177,000 people. McDonald's UK & Ireland has a proven track record of investing in the development of its employees and offering flexibility as part of its dedication to being a modern and progressive company. Every year, it invests over £40 million in developing people, giving every one of its employees the opportunity to take part in structured training. McDonald's buys ingredients from over 23,000 British and Irish farmers and spends over £1.1billion annually on its food and packaging requirements. McDonald's is committed to supporting British and Irish farmers to ensure it can continue to source many of its ingredients from the UK and Ireland. McDonald's is a market leader in its field, striving for the highest standard of quality, speed and restaurant experience. Re-generation of our restaurant infrastructure, covering digital ordering, re-imaging and dual-point service make working at McDonald's more exciting than ever We are dedicated to using our scale for good: good for people, our industry and the planet. From bold recycling initiatives and sustainable sourcing efforts to our partnership with Ronald McDonald House Charities, we see every day as a chance to have a genuine impact on our customers, our people and our partners. We're a people business just as much as we are a restaurant business. We strive to be the most inclusive brand in the world by building diverse teams who create delicious, feel-good moments that are easy for everyone to enjoy. Joining McDonald's means thinking big every day and preparing for a career that can have impact around the world. Company Vision and Culture Our Global vision is to build a better McDonald's and, in the UK, and Ireland we are working hard to be the UK & Irelands best-loved restaurant company. McDonald's is defined by its culture. Our culture shapes and informs everything we think and everything we do. Our culture influences the way we interact with each other, and how we interact with customers, franchisees and suppliers. Our culture motivates and inspires us to attract and retain great talent, creating positive, energising, exceptional working environment for us all. Our values drive our culture and shape our beliefs, our priorities and our actions. They influence the decisions we make, how we treat one another and how we show up as a brand to the world. Serve: We put our customers and our people first Inclusion: We open our doors to everyone Integrity: We do the right thing Community: We are good neighbours Family: We get better together Job Description: The Opportunity The Data Operations Analyst role is an exciting opportunity for a self-starter to make a meaningful impact within a growing team, with potential for future growth and development. You will be accountable for enforcing data governance practices ensuring data compliance, and collaborating with various business stakeholders to maintain data integrity. This role is pivotal in enhancing the efficiency and effectiveness of our data operations, ensuring that our data products are reliable, compliant, and valuable to the business. What will my accountabilities be? Data Integrity and Quality: - Assist with incidents by identifying the root cause of data quality issues, driving issue resolution, and implementing technical and process improvements to prevent recurring issues and future failures. - Maintain regular communication with business, technology, and data teams to ensure alignment and collaboration - Assist with identifying, analyse and document the impact of changes proposed by projects or initiatives. - Collaborate with engineers and management to identify and implement process improvements, and supporting data governance strategies Data Analysis & Insights: - Collaborate with broader business reporting teams to enhance data quality and uphold standards - Ensure information is vetted for accuracy before sharing any reports or communications with stakeholders. Partner Management: - Maintain positive relationships with partners to ensure their support aligns seamlessly with data strategy and company objectives and requirements. - Collaborate with Supplier Management and Risk Management team to identify and prioritise potential data-related risks associated with vendors, and supporting strategies to mitigate these risks effectively. Other Duties: - Effectively manage individual assignments and responsibilities, including setting milestones, managing tasks and actions, and coordinating the execution of plans within specified timelines and stakeholder quality expectations. - Ensure the Data backlog and Data Knowledge Hub are regularly updated to maintain departmental efficiency and operational continuity. - Assist in maintaining the integrity and performance of Data products, through regular product health checks. - Assist Data Enablement Consultant in ad hoc duties to facilitate departmental operations and initiatives. - Participating in requirements gathering meetings to ensure clear and comprehensive documentation. - Serve as the point of contact for colleagues seeking assistance with technical data enquiries. What Team will I be a part? The Data Operations Analyst will report to the Data Enablement Consultant and operate as part of the wider Cyber Security and Data team within the Running Great Restaurant Technology team. Who are my customers? Customers of this role will include: - Data owners and business leads from broader business, technology and data teams such as: - Business stakeholders: Business Strategy & Insights, Restaurant Solutions Group, People, Marketing & Digital, Finance, Supply Chain - Technology: Cyber Security, Service Operations, Asset & Configuration Management, Supplier Management, Deployment & Testing, Innovation & Adoption - Change Management: Portfolio Management Office - Global: Colleagues in other McDonald's markets and those working in global and segment functions such as Enterprise Data Governance, Data Products, Back Office & Data Enablement, Reporting Hub, Data Platform & Architecture and GDW RunOps - Our partners and suppliers Qualifications: What background do I need to have? Essential requirements - 2 years demonstrated experience in a data related field such as Data Governance, Analytics, Business Intelligence (BI), Data Engineering, Data Operations and Data Product teams - A bachelor's degree in a data-related field such as Data Science, Computer Science, Information Technology, or a related discipline is preferable. However, equivalent certifications or relevant qualifications in Data & Information Technology will also be considered - Strong organisational skills with ability to work inpendently under pressure, prioritising tasks, and delivering data requests within agreed timelines - Strong technical acumen with a proficiency in relevant technologies and the ability to apply them to solve problems - Proficient in a variety of data technology and platforms such as MicroStrategy, Tableau, Talend (ETL), Data Movement, Data Warehousing, Cloud technologies (AWS, Azure, GCP), and Data Governance and Quality tools - Experience writing and implementing business requirements, process maps, user stories - Ability to effectively communicate complex technical issues to non-technical colleagues - Strong analytical and problem-solving skills, with meticulous attention to detail - Excellent stakeholder management and communication skills with an ability to produce reports, documentation, and communicate with audiences at all levels Some experience of desirable - Experience using SQL and Microsoft Office, including Visio, PowerPoint & Excel - Working knowledge of consulting and project management techniques/methods - Experience in Agile methodologies - Background in Retail and Hospitality sector - Experience working in large-scale data transformation initiatives - Familiar with AI technologies Knowledge of but not essential - Familiar with programming languages such as Python - Service Now - Miro - Smartsheet - Jira & Confluence - Collibra & LightUp Additional Information: At McDonald's we are People from all Walks of Life People are at the heart of everything we do and they make the McDonald's experience. We embrace diversity and are committed to creating an inclusive culture that means people can be their best authentic self in our restaurants and offices, which helps us to better serve our customers. We have a strong heritage of diversity and representation within our communities, which we are proud of. The diversity of our people, customers, Franchisees and suppliers give us strength. We do not tolerate inequality, injustice or discrimination of any kind. These are hugely important issues and a brand with our reach and relevance means we have a very meaningful role to play. We also recognise our responsibility as a large employer to continue being active in our communities, helping to develop skills and drive aspirations that will help people to be more aware of the world of work and more successful within it, whether with McDonald's or elsewhere." LI-Hybrid Requsition ID: REF7474G_744

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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.