At a Glance
- Tasks: As a Data Analyst, you'll identify trends and provide insights to improve business practices.
- Company: Abbott Rapid Diagnostics is a leader in diagnostic testing, dedicated to improving health outcomes.
- Benefits: Enjoy competitive salaries, private healthcare, flexible benefits, and a strong pension scheme.
- Why this job: Join a diverse team shaping the future of healthcare with innovative solutions and impactful work.
- Qualifications: Degree in mathematics, economics, statistics or computer engineering; experience with data analysis tools required.
- Other info: Work in Abingdon, Oxfordshire, and collaborate with experts in a dynamic environment.
The predicted salary is between 28800 - 48000 £ per year.
Bring your passion, ideas and purpose to life in a company that can truly help you achieve your full potential.
Abbott Rapid Diagnostics is part of Abbott’s Diagnostics family of businesses, bringing together exceptional teams of experts and industry leading technologies to support diagnostic testing which provides important information for treatment and management of diseases and other conditions.
The Opportunity
We are recruiting for a Data Analyst to join our Rapid Diagnostics – Toxicology Business. As a Data Analyst you would be based in Abbott’s site in Abingdon, Oxfordshire and would report to the Director of IT & Business Change.
What You’ll Do
As a Data Analyst you will be responsible for actively identifying trends and providing internal stakeholders and external clients with information to improve operational and business practices. In this role you will liaise with finance, commercial and operational colleagues to identify, gather and analyse data and make insights accessible through easy to interpret reports, graphs and tables.
More specifically:
- Use business analytics reporting tools; prepare management information (MI) reports and present as required both internally and to clients
- Communicate with stakeholders to understand data content and business requirements
- Apply tools and techniques for data analysis and data visualisation
- Create and deliver internal reports to analyse and report insights
- Perform statistical analysis of data
- Use data mining to extract information from data sets, and identify correlations and patterns
- Use data to predict trends in the existing customer base and customer population as a whole
- Identify and recommend opportunities for cost efficiencies
- Monitor and audit data quality
Required qualifications/Profile
- Degree qualification or equivalent in a relevant field such as mathematics, economics, statistics or computer engineering
- In depth knowledge of statistical methodologies and data analysis techniques
- A strong understanding of data sources, data organisation and storage
- Knowledge of relevant relational databases such as SQL
- Excellent IT literacy; experience of business analytics platforms such as QlikView and Power BI required
- Previous experience in a data analyst office-based role.
- Strong analytical and logical problem-solving skills.
- Attention to detail, to make accurate conclusions and predictions
- Ability to multi-task and prioritise own workload
- Strong interpersonal, communication and presentation skills
- Ability to demonstrate strong initiative skills.
- Comfortable with ambiguity, identifying and implementing change when needed.
As you’d expect from an innovative global health care company, we offera competitive range of benefits including excellent salaries, a class-leading defined contribution pension scheme, private healthcare, life assurance and a flexible benefits scheme.
Abbott is about the power of health. For more than 135 years, Abbott has been helping people reach their potential — because better health allows people and communities to achieve more.Joining us, you can shape your career as you shape the future of healthcare.
With a diverse, global network serving customers in more than 160 countries, we create new solutions — across the spectrum of health, around the world, for all stages of life. Whether it’s next-generation diagnostics, life-changing devices, science-based nutrition, or novel reformulations, we are advancing some of the most innovative and revolutionary technologies in healthcare, helping people live their best lives through better health.
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Data Analyst employer: Abbott Laboratories
Contact Detail:
Abbott Laboratories Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific business analytics tools mentioned in the job description, like QlikView and Power BI. Having hands-on experience or even completing a short course on these platforms can give you an edge during interviews.
✨Tip Number 2
Brush up on your statistical methodologies and data analysis techniques. Being able to discuss how you've applied these in past roles will demonstrate your expertise and confidence in handling data.
✨Tip Number 3
Prepare to showcase your communication skills by thinking of examples where you've effectively presented data insights to stakeholders. This will highlight your ability to make complex information accessible and actionable.
✨Tip Number 4
Network with current or former employees of Abbott, especially those in similar roles. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach during the application process.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Analyst role at Abbott. Emphasise your knowledge of statistical methodologies, data analysis techniques, and familiarity with tools like SQL, QlikView, and Power BI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and how your background fits the company's mission. Mention specific examples of how you've used data to drive insights and improve business practices in previous roles.
Highlight Relevant Projects: If you have worked on any projects that involved data mining, statistical analysis, or data visualisation, be sure to include these in your application. Describe your role and the impact your work had on the project outcomes.
Prepare for Potential Questions: Think about the types of questions you might be asked during an interview. Be ready to discuss your analytical approach, problem-solving skills, and how you handle ambiguity in data interpretation.
How to prepare for a job interview at Abbott Laboratories
✨Know Your Data Tools
Familiarise yourself with business analytics platforms like QlikView and Power BI. Be prepared to discuss your experience with these tools and how you've used them to create insightful reports in previous roles.
✨Understand Statistical Methodologies
Brush up on your knowledge of statistical methodologies and data analysis techniques. Be ready to explain how you've applied these methods to identify trends and make data-driven decisions in past projects.
✨Communicate Effectively
Practice articulating complex data insights in a clear and concise manner. Since you'll be liaising with various stakeholders, showcasing your ability to communicate effectively will be crucial during the interview.
✨Showcase Problem-Solving Skills
Prepare examples that demonstrate your analytical and logical problem-solving skills. Think of situations where you identified issues through data analysis and how you implemented solutions to improve operational practices.