Ownership Business Analyst (12month FTC)

Ownership Business Analyst (12month FTC)

Full-Time 36000 - 60000 £ / year (est.) No working from home possible
Porsche

At a Glance

  • Tasks: Analyse data to enhance customer experiences and optimise internal processes.
  • Company: Join Porsche, a premium automotive brand known for innovation and excellence.
  • Benefits: Enjoy competitive salary, annual bonus, private medical insurance, and 27 days of leave.
  • Other info: Be part of a diverse team that values freedom, respect, and tolerance.
  • Why this job: Make a real impact in a dynamic environment while working with cutting-edge data analysis.
  • Qualifications: 5+ years in data analysis, advanced Excel skills, and experience in the automotive sector.

The predicted salary is between 36000 - 60000 £ per year.

As an Ownership Business Analyst, you will support delivery of a unique and exceptional experience to Porsche customers by sourcing and analysing internal and external consumer, market and business performance data to provide relevant insight in the development of services and communications. Ensuring internal and external data processes are optimized to create efficiency and greater stakeholder engagement. This is a 12 month maternity cover contract. Responsibilities: Support Ownership Business Managers with market, project, and commercial data analysis Provide data management, analysis expertise, and guidance across the Ownership department Assist Owner Services with centralized billing control, supplier management, tenders, and purchasing compliance Develop research and data sources to inform customer, market, and business performance Analyse internal and external data to identify market opportunities, service development, and efficiency improvements Model and forecast rebates for the Ownership Department Report commercial performance (service and parts) at national, regional, and local levels; develop management reporting suites Prepare management reports and recommendations; develop reporting tools Business Analyst: Routine reporting, rebate forecasting, project and billing support, consolidated billing, network SDR reporting Senior Business Analyst: Manage Ownership reporting, external BI tool development, strategy support, tactical data (vehicle campaigns), resource management, and future concept development Junior Business Analyst: CRH data analytics and adhoc departmental support Requirements Minimum Qualifications 5 years or more technical working experience in a similar data analysis role - preferably with an automotive manufacturer or dealership The ability to understand complex data landscapes and sources Advanced Excel skills, including the use of Power Query, Power Pivot

Ownership Business Analyst (12month FTC) employer: Porsche

Porsche Cars GB is an exceptional employer that fosters a culture of diversity, respect, and collaboration, making it an ideal place for professionals seeking to thrive in the automotive industry. With a commitment to employee growth, competitive salaries, and comprehensive benefits including private medical insurance and generous annual leave, Porsche offers a rewarding environment where your contributions directly impact customer experiences. Join us in a dynamic setting that values innovation and excellence, and be part of a team that drives the future of premium automotive services.

Porsche

Contact Details:

Porsche Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Ownership Business Analyst (12month FTC)

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Apply Directly through Our Website

When you find a suitable opening like Ownership Business Analyst (12month FTC) at Porsche, 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 Ownership Business Analyst (12month FTC)

Data Analysis
Advanced Excel Skills
Power Query
Power Pivot
DAX
Qlik
Power BI

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 Porsche, 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 Porsche. 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 Porsche

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 Porsche!

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.