PIM & Product Data Analyst β€” Insights & Warranty Analytics in Stratford-upon-Avon

PIM & Product Data Analyst β€” Insights & Warranty Analytics in Stratford-upon-Avon

Stratford-upon-Avon Full-Time 30000 - 36000 Β£ / year (est.) No working from home possible
Micheldever Group

At a Glance

  • Tasks: Support the DDP team with warranty program admin and data analysis.
  • Company: Join Micheldever Group, a leader in product data management.
  • Benefits: Gain valuable experience in data analytics and reporting.
  • Other info: Opportunity for growth in a dynamic and supportive environment.
  • Why this job: Make an impact by improving product content and pricing strategies.
  • Qualifications: Strong analytical skills and attention to detail required.

The predicted salary is between 30000 - 36000 Β£ per year.

Micheldever Group is seeking a capable administrator/analyst to support the Digital Database & Product (DDP) team.

You will handle warranty program administration, KPI reporting and help maintain the PIM system.

Based in Southam or Micheldever Station near Winchester, the role covers data analysis, reporting, and collaboration with category managers to improve product content and pricing.

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PIM & Product Data Analyst β€” Insights & Warranty Analytics in Stratford-upon-Avon employer: Micheldever Group

Micheldever Group is an excellent employer, offering a supportive work culture that prioritises employee growth and development. Located in Wales, the company provides comprehensive training for Truck Tyre Technicians, alongside attractive bonuses and staff discounts, making it a rewarding place to build a career in the automotive industry.

Micheldever Group

Contact Details:

Micheldever Group Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land PIM & Product Data Analyst β€” Insights & Warranty Analytics in Stratford-upon-Avon

✨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 Micheldever Group!

✨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 PIM & Product Data Analyst β€” Insights & Warranty Analytics at Micheldever Group.

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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 Micheldever Group.

✨Apply Directly through Our Website

When you find a suitable opening like PIM & Product Data Analyst β€” Insights & Warranty Analytics at Micheldever Group, 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 PIM & Product Data Analyst β€” Insights & Warranty Analytics in Stratford-upon-Avon

Data Analysis
KPI Reporting
PIM System Management
Collaboration Skills
Product Content Management
Pricing Analysis
Administrative Skills

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 Micheldever Group, 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 Micheldever Group. 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 Micheldever Group

✨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 Micheldever Group!

✨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.