Performance Insights & Optimisation Lead in Thirsk

Performance Insights & Optimisation Lead in Thirsk

Thirsk Full-Time 40000 - 50000 £ / year (est.) No working from home possible
Inspired Pet Nutrition

At a Glance

  • Tasks: Analyse data to identify trends and enhance operational performance.
  • Company: Join INSPIRED Pet Nutrition, a leader in pet food innovation.
  • Benefits: Flexible working locations, competitive salary, and career development opportunities.
  • Other info: Collaborative team culture with opportunities for growth.
  • Why this job: Make a real impact on operational efficiency in a dynamic environment.
  • Qualifications: Strong analytical skills and experience with Excel and reporting tools.

The predicted salary is between 40000 - 50000 £ per year.

INSPIRED Pet Nutrition is seeking a Performance Reporting and Optimisation Manager to join the Operational Finance team.

The role can be based in Kinmel Bay, Thirsk or Crick, UK.

You will analyse manufacturing and logistics data to identify risks and trends and work with leaders to boost operational performance.

You will build automated reporting using Excel, Anaplan, and other tools, ensure data integrity, and develop dashboards to enhance decision making across sites.

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Performance Insights & Optimisation Lead in Thirsk employer: Inspired Pet Nutrition

INSPIRED pet nutrition is an excellent employer, offering a supportive work culture that prioritises employee well-being and development. Located near Thirsk, North Yorkshire, we provide competitive pay, comprehensive benefits including healthcare cash plans, and opportunities for overtime, all while fostering a diverse and inclusive environment where every team member can thrive.

Inspired Pet Nutrition

Contact Details:

Inspired Pet Nutrition Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Performance Insights & Optimisation Lead in Thirsk

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 Inspired Pet Nutrition!

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 Performance Insights & Optimisation Lead at Inspired Pet Nutrition.

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 Inspired Pet Nutrition.

Apply Directly through Our Website

When you find a suitable opening like Performance Insights & Optimisation Lead at Inspired Pet Nutrition, 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 Performance Insights & Optimisation Lead in Thirsk

Data Analysis
Excel
Anaplan
Automated Reporting
Dashboard Development
Operational Performance Improvement
Risk Identification

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 Inspired Pet Nutrition, 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 Inspired Pet Nutrition. 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 Inspired Pet Nutrition

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 Inspired Pet Nutrition!

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.