Part-Time Data-Driven Business Reporting Analyst

Part-Time Data-Driven Business Reporting Analyst

Part-Time 30000 - 40000 £ / year (est.) Home office (partial)
Micheldever Tyre Services

At a Glance

  • Tasks: Analyse data and create insightful reports to drive business decisions.
  • Company: Micheldever Tyre Services, a leader in the tyre industry.
  • Benefits: Flexible working hours, hybrid model, and valuable experience.
  • Other info: Perfect for students seeking part-time work with career growth potential.
  • Why this job: Join a dynamic team and make an impact with your analytical skills.
  • Qualifications: Strong Excel skills and a knack for data interpretation.

The predicted salary is between 30000 - 40000 £ per year.

Micheldever Tyre Services is seeking a part-time Business Reporting Analyst in Southam. The role demands strong Excel reporting skills and a talent for data interpretation to enhance business activity effectiveness.

The successful candidate will manage key account analytics, provide insights, and assist in transforming data for strategic decisions. This hybrid position offers a working pattern of 30 hours per week, accommodating both in-office and remote work.

Part-Time Data-Driven Business Reporting Analyst employer: Micheldever Tyre Services

Micheldever Tyre Services is an excellent employer that values flexibility and work-life balance, offering a hybrid working model that allows for both in-office and remote contributions. Employees benefit from a supportive work culture that encourages professional growth through hands-on experience in data analytics, while also enjoying the opportunity to make impactful decisions that drive business success in a dynamic environment.

Micheldever Tyre Services

Contact Details:

Micheldever Tyre Services Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Part-Time Data-Driven Business Reporting Analyst

Get Involved in Data Challenges

Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Micheldever Tyre Services.

Connect with Local Data Communities

Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.

Leverage Your University’s Resources

If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.

Apply Directly Through Our Website

Don’t forget to check out our jobs at Micheldever Tyre Services and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.

We think you need these skills to ace Part-Time Data-Driven Business Reporting Analyst

Excel Reporting Skills
Data Interpretation
Key Account Analytics
Business Insights
Data Transformation
Strategic Decision-Making
Analytical Skills

Some tips for your application 🫡

Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!

Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.

Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Micheldever Tyre Services aligns with your career aspirations. Show us you're excited about learning and growing with us!

Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!

How to prepare for a job interview at Micheldever Tyre Services

Brush Up on Your Stats!

Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Micheldever Tyre Services.

Show Off Your Projects!

It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Micheldever Tyre Services.

Familiarise Yourself with Tools of the Trade

Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Micheldever Tyre Services, so having a comfort level with these tools will definitely be an advantage.

Be Ready to Discuss Real-World Applications

Since this is a part-time role, employers at Micheldever Tyre Services will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.