At a Glance
- Tasks: Create daily reports and dashboards using data from various systems.
- Company: Join a dynamic team in a leading retail environment.
- Benefits: Competitive salary, onsite work, and opportunities for growth.
- Other info: Ideal for detail-oriented individuals passionate about data.
- Why this job: Make an impact by transforming data into actionable insights.
- Qualifications: Strong admin skills, advanced Excel, and experience with Power BI.
The predicted salary is between 40000 - 50000 £ per year.
The role involves producing accurate daily reports for the board, pulling data from multiple systems into a clear, consistent format. Responsibilities include:
- Measuring forecast against actual orders across major retail customers such as Tesco and Sainsbury's.
- Extracting, cleaning and consolidating data using Excel, Navision and SAP.
- Building and maintaining reports and dashboards in Power BI to make the numbers easy to read at a glance.
- Handling ad-hoc reporting and data requests from across the business.
- Providing general administrative support to the wider commercial team.
- Spotting and flagging discrepancies or trends in the data early.
What we’re looking for:
- Strong administrative experience with a genuine head for data and reporting.
- Advanced Excel skills (pivot tables, lookups, data manipulation).
- Experience with Power BI for building reports and dashboards.
- Familiarity with Navision and/or SAP (or similar ERP systems).
- Confident pulling data from multiple sources and turning it into a clear, board-ready report.
- Highly accurate, well-organised, and comfortable working to daily deadlines.
- Experience in food, FMCG or a retail-supply environment is an advantage.
- An understanding of forecast vs actual / order data would be beneficial.
Reporting Administrator in Wembley employer: Talent Guardian
Join a well-established and growing business in Bedfordshire as a Warehouse Operative, where you will be part of a supportive and friendly team dedicated to excellence. Enjoy a competitive salary of up to £30,000, an early finish every Friday, and the chance to develop your skills in a stable, full-time permanent role. With a focus on health and safety, and opportunities for personal growth, this is an excellent employer for those seeking meaningful and rewarding work.
StudySmarter Expert Advice🤫
We think this is how you could land Reporting Administrator in Wembley
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We think you need these skills to ace Reporting Administrator in Wembley
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 Talent Guardian, 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 Talent Guardian. 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 Talent Guardian
✨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.
