At a Glance
- Tasks: Own and maintain product data accuracy across all platforms.
- Company: Join a growing team focused on data-driven excellence.
- Benefits: Development opportunities, competitive salary, and a supportive work environment.
- Other info: Dynamic role with potential for career growth in a thriving business.
- Why this job: Make a real impact by ensuring data quality and improving processes.
- Qualifications: Experience with ERP systems and strong analytical skills required.
The predicted salary is between 28350 - 34650 £ per year.
Are you a data driven individual seeking a role to take ownership of quality data across all systems?
This is an exciting opportunity to be part of a growing team that offers development opportunities. You will ensure product and pricing data remains accurate across all platforms.
Description of the role
- Creating product records entering data including pricing, dimensions and categories.
- Maintaining cost and customer pricing and validating updates.
- Investigating any discrepancies and implementing corrections.
- Working closely with internal times to improve processes.
- Conducting routine audits and developing quality processes.
- Analysing product and pricing data.
- Producing reports and develop KPIs.
About you
- Experience of working with Business Central and Linnworks would be a distinct advantage.
- Experience of working with ERP systems and advanced Microsoft Excel skills.
- Strong attention to detail and analytical mindset.
- SQL and Power BI knowledge would be advantageous.
- Experience of working with a variety of data.
If you're a detail-focused, analytical professional with a passion for data accuracy and process improvement, this could be an excellent opportunity to develop your career within a growing business.
#J-18808-Ljbffr
Product Data Analyst employer: Fabric Recruitment
Join a dynamic and growing organisation in Ruddington as a Bid Coordinator, where you will be part of a collaborative team that values innovation and excellence. With a strong focus on employee development, the company offers ample opportunities for growth and advancement, alongside a supportive work culture that encourages creativity and teamwork. Enjoy competitive salaries and a commitment to maintaining a healthy work-life balance, making this an ideal place for professionals looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Product 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 Fabric Recruitment!
✨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 Product Data Analyst at Fabric Recruitment.
✨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 Fabric Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Product Data Analyst at Fabric Recruitment, 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 Product 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 Fabric Recruitment, 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 Fabric Recruitment. 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 Fabric Recruitment
✨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 Fabric Recruitment!
✨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.
