At a Glance
- Tasks: Lead impactful analytics projects to enhance decision-making in a thriving retail environment.
- Company: Join Dunelm, the UK's top homewares retailer with a supportive culture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team atmosphere with a focus on data-driven decision-making.
- Why this job: Be at the forefront of transforming customer insights into actionable strategies.
- Qualifications: Experience in analytics, strong problem-solving skills, and proficiency in SQL.
The predicted salary is between 37800 - 46200 £ per year.
Overview
Home. There’s no place like it.
And there’s no feeling like helping people create the joy of feeling truly at home.
At Dunelm, that’s what we do.
We’re the UK’s number one choice for homewares because we make home life lovelier for our customers.
And the caring and supportive culture we’ve created makes this a place you’ll feel right at home too.
We are the UK’s Number One homewares retailer offering c100,000 products building a consumer-focused total retail business that delights customers through our multichannel operation.
We are ambitious in our plans to drive further expansion of the business to more customers, shopping more frequently, with more choice, enhanced digital and physical services, and new capabilities to innovate and operate at pace in a fast-changing landscape.
In developing the business for the long-term benefit of our customers, we are investing in our supply chain, stores and technology to improve the customer proposition as we move forward.
Are you looking to play a role in the Data & Insight transformation journey of a successful and fast-growing omnichannel retailer?
It’s an exciting time at Dunelm, the UK’s biggest homewares brand, as we look to grow our talented Analytics team in order to achieve our mission to put data and insight at the heart of decision-making across the business.
At Dunelm, we want to become the most customer-obsessed homewares retailer, and Customer Analytics plays a central role in realizing that ambition.
We are building a capability that transforms connected customer data into deep, predictive customer insight, and as a Senior Analyst you will be at the heart of that journey.
You will combine behavioural, demographic and market signals to uncover what matters most to customers, helping colleagues make decisions that are more informed, more customer-focused and more effective in driving sustainable growth.
Working on some of Dunelm’s most important opportunities, you will partner with stakeholders across the business to ensure customer insight shapes both strategic priorities and everyday decision-making.
You will help the business move beyond understanding what customers have done to anticipating what they are likely to do next, identifying emerging needs, behaviours and opportunities before they fully materialize.
In doing so, you will help make customer obsession a genuine competitive advantage and ensure the voice of the customer is embedded in how Dunelm grows.
Role Purpose
We are looking for a Senior Analyst to deliver high-impact analytics projects that improve decision making across a £2bn omnichannel retail business.
The Senior Analyst will take ownership of end-to-end analytical projects, working with stakeholders to define problems, carry out analysis and turn findings into actionable recommendations.
They will help the business use data more effectively, improving the quality of decisions and delivering measurable commercial value.
What you’ll be doing
Key Responsibilities
- Deliver Analytics Projects
- Lead the delivery of medium to large analytics projects aligned to key business priorities
- Translate commercial questions into clear analytical approaches and project plans
- Deliver robust, timely and commercially focused analysis
- Manage multiple projects and priorities simultaneously
- Drive Better Decision Making
- Produce analytics that helps the business understand performance, identify opportunities and take action
- Use data to answer key questions across key business functions
- Support better decision making by providing clear recommendations backed by evidence
- Help develop KPIs, measures and frameworks that drive business performance
- Communication
- Present findings in a simple, compelling and commercially relevant way
- Create presentations, dashboards and summaries tailored to both technical and non-technical audiences
- Influence stakeholders through clear storytelling and well-supported recommendations
- Support senior leaders with insight for planning, trading reviews and business decisions
- Stakeholder Management
- Build strong working relationships with stakeholders across the business
- Partner with teams across commercial, ecommerce, marketing, finance and operations
- Work collaboratively to understand business needs and ensure analysis leads to action
- Challenge assumptions and provide an evidence-based perspective
- Support Team Development and Best Practice
- Contribute to improving standards and ways of working within the analytics team
- Share knowledge, methods and best practice with other analysts
- Support and coach early careers analysts where appropriate
- Help improve data quality, reporting and self-serve analytics capability
- Contribute to the team culture, in addition to advocate for data, analytics and the voice of the customer throughout the business
- What we’ll look for in you
Essential
Skills and Experience Required
- Must be available immediately, or within a very short notice
- Experience in analytics, insight or commercial analysis within retail, ecommerce or another customer-facing business
- Strong analytical and problem-solving skills
- Experience delivering analytical projects with clear commercial outcomes
- Strong understanding of the key drivers of performance in an omnichannel retail business
- Ability to translate complex analysis into clear, actionable recommendations
- Strong stakeholder management and communication skills
- Experience using SQL and one or more analytical tools such as Python or R
- Ability to manage multiple priorities and work independently
Desirable
- Experience in customer, marketing, digital, commercial or operations analytics
- Experience working with cloud data platforms such as Snowflake or Big Query
- Experience with visualisation tools such as Power BI or Thought Spot
- Experience supporting or mentoring more junior analysts
- Experience helping organisations become more data-driven
- Degree in Maths, Stats, Economics, Computer Science, Physics or a related field; or equivalent related professional experience
- Key Behaviours
- Curious and commercially minded
- Strong attention to detail
- Proactive and outcome-focused
- Able to simplify complexity and communicate clearly
- Collaborative and stakeholder-oriented
- Comfortable working with ambiguity and changing priorities
- Passionate about using data to improve business performance
- Success Measures in First 12 Months
- Deliver a portfolio of analytics projects with measurable commercial impact
- Build strong relationships with stakeholders across the business
- Improve the quality and consistency of insight used in decision making
- Increase the use of data and analytics within supported business areas
- Develop a reputation as a trusted and commercially minded analytical partner
- Contribute to improving the capability and effectiveness of the wider analytics team
- #J-18808-Ljbffr
Senior Analyst - Customer Analytics (6 months FTC) 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 Senior Analyst - Customer Analytics (6 months FTC) in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Dunelm before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Dunelm.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Dunelm.
We think you need these skills to ace Senior Analyst - Customer Analytics (6 months FTC) in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Dunelm, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Dunelm, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Dunelm’s attention and show the tangible impact of your work.
How to prepare for a job interview at Dunelm
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Dunelm.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Dunelm.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Dunelm.
