At a Glance
- Tasks: Analyse data to drive key business decisions and create impactful reports.
- Company: Join a fast-growing omnichannel retailer transforming its data capabilities.
- Benefits: Competitive salary, annual bonus, 25 days holiday, and hybrid working.
- Other info: Exciting opportunity for career growth in a dynamic retail environment.
- Why this job: Make a real impact by turning data into actionable insights for a thriving business.
- Qualifications: 1-3 years of data analysis experience and strong SQL skills required.
The predicted salary is between 38000 - 50000 £ per year.
About NextStep
NextStep connects top consulting talent with high-potential opportunities through smart, AI-powered matching. We partner with ambitious companies across sectors to place experienced professionals in roles where they can have a real impact.
About the Company
Our client is a PE-backed omnichannel retailer with over 200 stores and a fast-growing e-commerce business across the UK and Ireland. With £400m in annual revenue, the business is mid-transformation, and the Chief Data Officer is building out analytical capability to ensure the business can act on its data, not just store it.
The Role
As a Data Analyst, you will produce insights that directly inform commercial, operational, and marketing decisions. You will query, clean, and interpret large datasets, develop recurring reports, and work with business stakeholders on specific commercial questions.
What You'll Do
- Write SQL queries to extract and transform data from the company's data warehouse for both regular reporting and ad hoc analysis.
- Build and maintain dashboards in Tableau or Power BI for commercial, finance, and marketing teams.
- Conduct analyses on customer behaviour, product performance, pricing, and campaign effectiveness.
- Work with stakeholders to understand their analytical needs and deliver insight they can act on.
- Support data quality initiatives by identifying inconsistencies and working with the data engineering team.
What We're Looking For
- 1–3 years of experience in a data analyst or similar role.
- Strong SQL skills (able to write complex queries independently).
- Experience with Tableau, Power BI, or a comparable visualisation tool.
- A commercial mindset (you understand what data means for the business).
Compensation & Benefits
Base salary of £38,000 – £50,000, depending on experience. Annual bonus and employee discount. 25 days holiday and hybrid working from London. Pension and private medical.
How to Apply
To be considered for this role, please create your profile at getnextstep.com. Once your profile is complete, our matching system will evaluate your background against the role criteria and match you with the company if it's a strong fit. No cover letter required. This role is listed by NextStep on behalf of our client. All applications are handled with confidentiality.
Data Analyst employer: NextStep
Join a dynamic and innovative team at a PE-backed omnichannel retailer, where your insights as a Data Analyst will directly influence key business decisions. With a strong focus on employee growth, you will benefit from a competitive salary, annual bonuses, and a supportive work culture that values collaboration and data-driven strategies. Located in London, enjoy the flexibility of hybrid working, generous holiday allowances, and comprehensive health benefits, making this an excellent opportunity for those looking to make a meaningful impact in a fast-evolving environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨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 NextStep!
✨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 Data Analyst at NextStep.
✨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 NextStep.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at NextStep, 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 Data Analyst
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 NextStep, 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 NextStep. 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 NextStep
✨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 NextStep!
✨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.
