Python Job: Data Analyst

Data Analyst

LOCATION – REMOTE (UK)

Our vision is to create a world without limits for people with diabetes and related conditions.

Join us at LifeScan, maker of the iconic OneTouch® brand diabetes products to bring to life our mission to deliver personalized health & wellness experiences that engage people to live their best lives. LifeScan has had an unwavering commitment to improving the quality of life for people with diabetes by developing agile products defined by simplicity, accuracy, and trust to enable knowledge, wellness and health. We have virtual, dynamic and on-site employees in markets around the globe.

LifeScan is headquartered in Malvern, Pennsylvania and has a 31,600 square metre state-of-the-art manufacturing and distribution facility in Inverness, Scotland. With more than 2,000 employees LifeScan serves more than 90 countries.

At LifeScan we believe our talented and passionate team is what makes us special. We inspire excellence and teamwork through our Shared Values of Care, Create, Connect and Compete.

We have a great opportunity for a Data Analyst to join us on a 12- month, fixed-term contract. This a full-time role, which can be done remotely.

What YOU will do here at LifeScan:

Working in our Customer Quality department, you'll drive forward data quality and draw insights through analysing large data sets, using statistical methods, quality tools and reports.

You'll take part in exploratory research projects, as well as other Lifescan projects of varying sizes and duration, and use your analytical skills to present results back in a clear and concise way.

Responsibilities will include:

• Analysing large data sets
• Working with statistical analysis and providing data analysis
• Providing informatics and analytical support
• Participating in exploratory research projects
• Presenting analysis results within research teams
• Using statistical methods, quality tools, and reports
• Actively contributing to small to medium size project or components of a larger project
• Applying compliance requirements within scope of responsibility, providing documentation as necessary, and participating in compliance activities as required

About YOU:

In order to be successful in this role, you'll be a problem-solver with a strong background in data and statistical analysis, particularly large data sets. You'll ideally have a degree in a Data, Scientific, or Engineering discipline, but a strong combination of education and experience is also fine too!

Together with:

• Strong research skills
• Good technical report writing skills
• Good communication skills; able to adapt your approach to different audiences
• An ability to work independently, but also be comfortable contributing to team and project work when required
• A good awareness of compliance processes and procedures, in particular relating to Quality
• Proficiency in a computational programming language, preferably Python or SPSS
• Experience in using Tableau to create dashboards

It would be nice if you had but not essential:

• Experience in the automation of data process(es)
• Project planning and timeline management experience
• Additional programming languages, e.g. R, Python, MATLAB, SPSS, SQL
• Salesforce Analytics experience

We pride ourselves in creating a fantastic team environment that allows everyone to grow and develop. Therefore, it's important to us that you have:

• High Emotional Intelligence with an ability to work with multi-cultural teams
• Able to recognise and welcome diversity
• Flexibility and a solution-oriented approach
• A spirit of continuous improvement

What YOU will gain from the role:

It goes without saying that we'll support you to develop both personally and professionally whilst rewarding your performance.

If you want to be seen for the talent you bring to your work, be the driver of your own career, and work with others who share your passion for success then this would be the right role for you.

Hiring Process:

We're looking forward to reading more about you. Apply by submitting your application and resume. We'll review your application and respond to you whether you are successful or not. This is important to us as we want to ensure you receive feedback from us.

At Lifescan we welcome people from all backgrounds. What's important to us is great talent!

Closing Date:

17th March 2023