At a Glance
- Tasks: Lead a world-class analytics team to drive strategic decision-making and business performance.
- Company: Dunelm, a beloved homewares brand with a family-oriented culture.
- Benefits: Competitive salary, career development, and a dynamic work environment.
- Other info: Join a collaborative team focused on innovation and excellence.
- Why this job: Shape the future of analytics and make a real impact on business growth.
- Qualifications: Strong analytical mindset and leadership experience in data-driven environments.
The predicted salary is between 90000 - 110000 £ per year.
Overview
People love Dunelm.
That statement is true for the millions of Customers, the ‘savvy home lovers’ who love the broad range of quality, value for money homewares products, the unique in-store and online experience, and Dunelm’s distinctive local feel.
It is also true for the 12,000 Colleagues who benefit from an ambitious, entrepreneurial, family-oriented culture and challenger-brand mentality which combine to create an environment that is conducive to making things happen fast.
And it’s also true for Investors who have seen strong and consistent returns to date and are excited by the leadership team’s calibre and vision, and the strength of Dunelm’s multi‑channel offering.
Overview
People love Dunelm.
That statement is true for the millions of Customers, the ‘savvy home lovers’ who love the broad range of quality, value for money homewares products, the unique in-store and online experience, and Dunelm’s distinctive local feel.
It is also true for the 12,000 Colleagues who benefit from an ambitious, entrepreneurial, family-oriented culture and challenger‑brand mentality which combine to create an environment that is conducive to making things happen fast.
And it’s also true for Investors who have seen strong and consistent returns to date and are excited by the leadership team’s calibre and vision, and the strength of Dunelm’s multi‑channel offering.
Role Overview
The Analytics Director is a pivotal enterprise leadership role at Dunelm, responsible for shaping how analytics accelerates strategic decision‑making, operational performance and long‑term growth and transformation.
The Role Is Responsible For
- Building and leading a world‑class analytics capability
- Ensuring that capability directly powers decision‑making, optimisation, and commercial performance at scale
- Raising the bar on analytical thinking, standards, and rigour across the entire organisation
This is a significant enterprise leadership role, extending well beyond functional remit.
Role
As a member of the Dunelm Leadership Team (DLT), the role shapes the quality of analytical thinking, evidence‑based decision‑making and value creation across the business.
This includes
- The quality of analytics across the enterprise
- The standards of thinking and evidence used in decision‑making
- The impact of analytics on business performance
- What you'll be doing
- Build and Lead a World‑Class Analytics Function
- Lead all analysts and data scientists across Dunelm
• Develop capability across
- Advanced analytics
- Data science
- Experimentation
- Develop future leaders and a strong capability pipeline
- Lead the Optimisation Centre of Excellence
- Embed structured, hypothesis‑led problem‑solving
- Deliver attributable value through improved business decision‑making
- Own Customer Intelligence Capability
- Deliver a coherent, enterprise view of the customer
• Ensure insight informs both
- Strategic decisions
- Operational execution
- Lead both qualitative and quantitative customer research
- Lead Enterprise Experimentation
- Own the transformation‑wide testing programme
- Ensure experimentation is rigorous, prioritised and scalable
- Make testing a core operating discipline at Dunelm
- Set and Enforce Enterprise Standards
- Define what “excellent analytics” looks like at Dunelm
• Establish standards for
- Methods
- Outputs
- Quality
- Documentation
- Actively remove duplication and low‑value work
- Raise the Bar on Analytical Thinking Across Dunelm
This is a defining expectation of the role.
• Improve how leaders
- Frame problems
- Use evidence
- Make decisions
• Shift the organisation from
- Descriptive to causal to predictive thinking
- Increase the rigour, clarity and challenge in decision‑making
- What we’ll look for in you
- Enterprise mindset over functional optimisation
Brings a deeply enterprise‑oriented mindset, consistently prioritising end‑to‑end business value over functional optimisation and ensuring analytics serves the broader interests of Dunelm as a whole. - Sets the standard for thinking
Sets an unequivocally high standard for analytical judgement, intellectual rigour and quality of execution, and is uncompromising in challenging weak logic or insufficient evidence. - Leads through influence at senior levels
Operates with credibility and confidence at senior level, constructively challenging established thinking, strengthening the logic underpinning key decisions, and ensuring value is both clearly defined and realised in practice. - Absolute clarity and simplicity
- Distils Complexity Into
- Clear insights
- Clear decisions
- Clear actions
- Relentless focus on value
- Prioritises Work That Drives
- Decisions
- Outcomes
- Commercial impact
- Builds and expects excellence
- Sets a high bar
- Maintains it consistently
- Develops others to reach it
- Comfortable with challenge and tension
- Creates Constructive Friction
- Between data and instinct
- Between pace and rigour
- Between ambition and feasibility
- #J-18808-Ljbffr
Analytics Director in London employer: Dunelm
Dunelm is an excellent employer that prioritises a friendly and supportive work culture, making it a great place for those looking to thrive in retail. With competitive pay rates and flexible hours, employees enjoy opportunities for growth and development while contributing to a welcoming shopping experience for customers. Located in the heart of the community, Dunelm fosters a sense of belonging and teamwork among its staff.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Director in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dunelm!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analytics Director at Dunelm.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dunelm.
✨Apply Directly through Our Website
When you find a suitable opening like Analytics Director at Dunelm, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Analytics Director in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Dunelm, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dunelm. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Dunelm
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dunelm!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
