At a Glance
- Tasks: Design dashboards, automate reports, and analyse data to drive business improvements.
- Company: Join a leading FTSE-100 retail company with a vibrant culture.
- Benefits: Enjoy competitive salary, generous discounts, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career development and support networks.
- Why this job: Make an impact by bridging data and strategy in a dynamic team.
- Qualifications: Experience in BI or Data Analysis, with strong skills in Google Sheets/Excel.
The predicted salary is between 40500 - 49500 £ per year.
Location: Elmsall, Pontefract
Shift: Mon-Fri 09:00-17:30
Salary: £34k-£38k depending on experience
Please note this role is full office based in South Elmsall.
The role: As a member of the Optimisation Team, you will be a key player in driving cost improvements and operational excellence across NDL. This role is uniquely positioned to bridge the gap between technical data and business strategy. You aren't just crunching numbers—you are building the dashboards and insights that allow our senior leadership to make informed decisions, reduce risk, and ensure regulatory compliance.
What you’ll take on:
- Insightful Reporting: Design, build, and maintain high quality dashboards that track key operational metrics, translating complex business requirements into user-friendly solutions.
- Process Automation: Drastically improve efficiency by automating recurring reports and repetitive tasks. You’ll leverage the Google Workspace ecosystem to build scalable, spreadsheet-driven workflows.
- Risk Mitigation: Proactively monitor data to detect anomalies or deteriorating trends, escalating serious risks promptly to leadership.
- Data Storytelling: Analyse trends and patterns to identify root causes. You will present these findings clearly to various audiences, acting as the bridge between technical teams and non-technical stakeholders.
- Continuous Improvement: Introduce best practices in data visualisation, identify opportunities for innovation, and maintain a focus on cost-saving initiatives across the organisation.
What you’ll bring:
- Technical Expertise: Previous experience in Business Intelligence (BI) or Data Analysis. You possess advanced knowledge of Google Sheets/Excel and are comfortable setting up Google Forms and managing Drive/Docs/Slides.
- Development Skills: Proven ability to use Google Apps Script/JavaScript to automate processes via Gmail and Drive APIs. Basic coding knowledge is essential for building these automated workflows.
- Analytical Mindset: You can critically analyse datasets from multiple sources, identify meaningful insights and simplify complex information into actionable KPIs, with the confidence to communicate findings clearly to senior stakeholders.
- High Standards: A strong sense of accountability and attention to detail. You are someone who takes ownership of their work and ensures accuracy, even when working under pressure or to tight deadlines.
- Organisation & Prioritisation: Strong organisation and prioritisation skills, with the flexibility to support changing business and team priorities.
- Collaborative Spirit: Excellent communication skills with a growth mindset. You are curious, proactive and comfortable asking the right questions, challenging existing processes and contributing ideas that drive continuous improvement.
- Senior Stakeholder Communication: Confidence in leading meetings, presenting information and clearly outlining issues, risks and opportunities to senior management, with the ability to explain complex points in a clear and professional way.
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.
WF Resource Validation & Support Analyst in Wakefield 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 WF Resource Validation & Support Analyst in Wakefield
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We think you need these skills to ace WF Resource Validation & Support Analyst in Wakefield
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!
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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!
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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
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✨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.
