At a Glance
- Tasks: Transform complex data into actionable insights using SQL, Databricks, and Power BI.
- Company: Join Next, a leading FTSE-100 retail company with a vibrant culture.
- Benefits: Enjoy discounts, bonuses, and access to health and wellbeing services.
- Other info: Dynamic office environment in Leicestershire with great career growth opportunities.
- Why this job: Make a real impact by influencing business decisions through data analysis.
- Qualifications: Strong SQL skills and experience with data reporting tools are essential.
The predicted salary is between 29700 - 36300 £ per year.
As a Data Analyst within our Finance Operations team at Next, you will play a key role in turning complex operational and financial data into clear, actionable insight. You will be a core builder of our analytical reporting capability, using SQL, Databricks and Power BI to create trusted data assets, develop reporting solutions and support better decision-making across Finance and Third-Party (TP) Retail Operations. This is a hands-on role requiring strong technical capability alongside excellent analytical and stakeholder skills.
You will work with large and complex datasets, build scalable data solutions, develop engaging Power BI dashboards and translate analysis into clear recommendations for technical and non-technical audiences.
What You Will Do
- Use SQL/T-SQL to query, transform, analyse and optimise complex operational and financial datasets.
- Use Databricks to interrogate and investigate data to provide valuable insights for our retails and stock operations.
- Develop Power BI reporting to provide key insights to our Partners.
- Structure data to support high-performing Power BI solutions, with a strong understanding of DAX and data modelling.
- Develop and maintain data quality, validation and governance processes to ensure reporting is accurate and trusted.
- Define KPIs and reporting requirements with Finance and operational stakeholders.
- Analyse performance, investigate variances and identify opportunities for improvement.
- Translate complex data into clear, compelling stories and recommendations that influence business decisions.
- Deliver ad-hoc analysis and reporting to support key operational events and priorities.
- Work collaboratively with Finance, Retail and other analytical teams to improve reporting and analytical processes.
What You Will Bring
- Advanced SQL/T-SQL skills, with the ability to write, optimise and debug complex queries and work with large datasets.
- Experience creating reliable, scalable data solutions for reporting and analytical consumption.
- Strong analytical and problem-solving skills, with the ability to turn data into actionable business insight.
- Excellent communication skills, with the ability to explain complex findings to senior and non-technical stakeholders.
- A proactive approach with the ability to take ownership of solutions from requirements through to delivery.
- Experience working in a large-scale operational environment.
Desirable
- Python experience, particularly for data manipulation and scripting.
- Strong hands-on Databricks experience, ideally including notebooks, data modelling and ETL/ELT workflows.
- Strong Power BI development experience, including dashboard design, data modelling and an understanding of DAX.
- Experience with Databricks Workflows/Jobs and scalable ETL/ELT pipelines.
- Experience with data governance and quality frameworks.
- Experience within Finance, Retail, Supply Chain or a similar operational environment.
We aim to support all candidates during the application process and are happy to provide workplace adjustments when necessary. Should you need support with your application due to a disability or long-term condition, feel free to get in touch with us by email (please include 'Workplace Adjustments' in the subject line), or call us and leave a voicemail.
Data Analyst in Enderby employer: Next plc
At our Enfield Retail Park location, we pride ourselves on being an excellent employer that values each team member's contribution. With a commitment to employee development from day one, we offer flexible working options and a supportive work culture that encourages growth and teamwork. Join us to be part of a dynamic environment where your passion for customer service can truly shine.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Enderby
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Analyst in Enderby
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 Next plc, 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 Next plc. 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 Next plc
✨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 Next plc!
✨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.
