Data Analyst II

Data Analyst II

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

At a Glance

  • Tasks: Analyse trial data and present findings to diverse teams.
  • Company: Join Abbott, a leader in innovative healthcare solutions.
  • Benefits: Competitive salary, health benefits, flexible perks, and wellness initiatives.
  • Other info: Engaging workplace with unique activities like yoga and bee keeping.
  • Why this job: Make a real impact on healthcare while developing your career.
  • Qualifications: Degree in a relevant field and programming experience required.

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

Data Analyst IIAbbott Witney, OX8JOB DESCRIPTION: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. 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, more than 113,000 of us are working together in advancing some of the most innovative and revolutionary technologies in healthcare, helping people live their best lives through better health. At Abbott, you can help shape the future of healthcare whilst shaping your career.As the Industry Leader, Abbott Diabetes Care designs, develops and manufactures glucose monitoring systems for use in both home and hospital settings. We have a Centre of Excellence in Witney for the development and manufacture of electrodes and biosensors used by patients and healthcare professionals for the day-to-day management of diabetes. The site, and its Statistics team, has been instrumental in the research, development and manufacture of the FreeStyle Libre Flash Glucose Monitoring System and continues to work on a strong pipeline of products in development. We are passionate about doing work that improves the quality of people\'s lives. Joining us, you can do work that truly matters.We currently have an exciting opportunity for a Data Analyst II to join our R&D team at our Medical Devices Centre of Excellence in Witney, Oxfordshire.In this role, you would be joining a vibrant, friendly and diverse group, and can expect to work across a varied range of projects supporting the development of our pipeline products. Responsibilities include processing and analysing trial data using SAS, presenting results to cross-functional teams, supporting the coordination of activities and identifying and implementing improvements in analysis programs and processes.You will need to have good oral and written communication skills to be able to collaborate with different people within the department, prepare reports, interpret results, and provide effective summaries for specialist and non-specialist audiences. You must be organised and flexible in your approach to work, with good attention to detail in order to ensure that data and analyses are accurate. Programming experience is required, and a degree-level qualification in a relevant subject plus industry-based experience would be advantageous.Abbott has health/wellness and financial benefits that help provide security for you and your family. As you\'d expect from an innovative global health care company, we offer excellent salaries and a competitive range of benefits including a defined-contribution pension scheme, share ownership scheme, private healthcare, life assurance, and a flexible benefits scheme. Here at Witney, we also like to help our employees live life to the fullest, and therefore we offer a range of optional initiatives for you to get involved in, including onsite allotments, couch to 5k campaigns, bee keeping, yoga and more!The base pay for this position is N/AJOB FAMILY:Clinical Affairs / StatisticsDIVISION:ADC Diabetes CareLOCATION: Witney : Range RoadWORK SHIFT:StandardTRAVEL:Yes, 5 % of the Time #J-18808-Ljbffr

Data Analyst II employer: Abbott

Abbott is an exceptional employer that prioritises the health and well-being of its employees while fostering a vibrant and inclusive work culture in Witney. With a strong commitment to employee growth, Abbott offers competitive salaries, comprehensive benefits, and unique initiatives such as onsite allotments and wellness campaigns, ensuring that you can thrive both professionally and personally. Join us to be part of a team that is dedicated to making a meaningful impact in healthcare and advancing your career in a supportive environment.

Abbott

Contact Details:

Abbott Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst II

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 Abbott!

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 Data Analyst II at Abbott.

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 Abbott.

Apply Directly through Our Website

When you find a suitable opening like Data Analyst II at Abbott, 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 Data Analyst II

Data Analysis
SAS
Communication Skills
Report Preparation
Attention to Detail
Organisational Skills
Flexibility

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 Abbott, 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 Abbott. 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 Abbott

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 Abbott!

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.