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- Tasks: Support data processing and logistics in a fast-paced healthcare consultancy.
- Company: Join Adelphi Real World, a global leader in healthcare consultancy focused on real-world data.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and development.
- Why this job: Be part of impactful projects that shape healthcare solutions while enhancing your skills.
- Qualifications: Ideal for those with a background in Mathematics or Computer Science and basic Excel skills.
- Other info: Embrace a culture of inclusivity and teamwork at Omnicom Health.
The predicted salary is between 28800 - 48000 £ per year.
Adelphi Real World is a global consultancy in healthcare. We collect and interrogate real world data to aid the pharmaceutical industry in understanding the management and treatment of specific diseases. This understanding informs the successful development of pipeline assets and the positioning of inline products. Real world data can also be used to leverage Health Outcomes / Economic argumentation through statistically validated publications.
The main function of this role is to assist with the logistical and administrative support across all operations activities, with an emphasis on data processing fieldwork control and basic scripting. This is a busy role that demands high levels of accuracy and is a fantastic opportunity for someone who wants to be challenged, developed and valued.
Accountabilities:
- Accurately track and monitor all fieldwork materials via different operational systems.
- Provide logistical support during fieldwork, analysis and processing of data both from pen and paper and online surveys using a variety of tools including but not limited to SPSS, Confirmit and Excel.
- Liaise with external suppliers, operations teams and research teams to ensure the smooth and effective delivery of all projects.
- Check online surveys for logic or text errors pre-launch.
- Interpretation, resolution of and ability to respond to queries/requests from project teams and external agencies.
- Work with research teams to develop databases that meet their analysis requirements.
- Ability to work within other areas of Data Services such as script writing and translation of online surveys during high demand.
The person:
- Mathematics or Computer Science background.
- Ability to use the basic features of Excel is essential. A knowledge of the more advanced features (e.g. charts, Visual Basic) would be advantageous.
- Ability to understand and learn new programming scripts/languages.
- Working knowledge of SPSS, UNICOM Intelligence Reporter and Confirmit would be a distinct advantage.
- Understanding of market research an advantage but not a necessity.
- Excellent level of numeracy, analytical, logical and interpretive skill. A strong attention to detail is essential.
- Good communication skills – ability to communicate technical information to a non-technical audience.
- High level of interpersonal skills and working as a team player.
- Able to respond to changing requirements and project needs.
- Good organisational and time management skills.
- Work well under pressure to meet tight deadlines.
- Self-motivated, proactive approach to work.
Omnicom Health is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you.
Associate Data Processing Analyst employer: Omnicom Health
Contact Detail:
Omnicom Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Data Processing Analyst
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, such as SPSS and Excel. Consider taking online courses or tutorials to enhance your skills, especially in data processing and basic scripting, which are crucial for this role.
✨Tip Number 2
Network with professionals in the healthcare consultancy field. Attend industry events or join relevant online forums to connect with people who work at Adelphi Real World or similar companies. This can provide you with insights and potentially valuable referrals.
✨Tip Number 3
Prepare to demonstrate your attention to detail during interviews. You might be asked to solve problems or review data for errors, so practice these skills beforehand. Being able to showcase your analytical abilities will set you apart from other candidates.
✨Tip Number 4
Research Adelphi Real World's recent projects and initiatives. Understanding their work and how they utilise real-world data can help you tailor your responses in interviews and show your genuine interest in the company and its mission.
We think you need these skills to ace Associate Data Processing Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the role of Associate Data Processing Analyst. Emphasise your background in mathematics or computer science, and any familiarity with data processing tools like SPSS or Excel.
Craft a Strong Cover Letter: Write a cover letter that clearly explains why you are interested in this position at Adelphi Real World. Mention specific aspects of the job description that excite you and how your skills can contribute to their operations.
Showcase Technical Skills: In your application, be sure to mention your proficiency with Excel and any experience with programming scripts or data analysis tools. If you have knowledge of advanced features or other relevant software, highlight these as well.
Demonstrate Attention to Detail: Given the emphasis on accuracy in this role, provide examples in your application that showcase your attention to detail. This could include past projects where precision was crucial or situations where you successfully managed complex data.
How to prepare for a job interview at Omnicom Health
✨Showcase Your Analytical Skills
As an Associate Data Processing Analyst, you'll need strong analytical abilities. Be prepared to discuss your experience with data analysis and how you've used tools like SPSS or Excel in previous roles. Highlight specific projects where your analytical skills made a difference.
✨Demonstrate Attention to Detail
This role requires a high level of accuracy, so it's crucial to demonstrate your attention to detail during the interview. Share examples of how you've ensured precision in your work, whether through checking data for errors or managing complex datasets.
✨Communicate Clearly
You'll often need to explain technical information to non-technical audiences. Practice articulating complex concepts in simple terms. During the interview, focus on clear communication to show that you can bridge the gap between technical and non-technical stakeholders.
✨Be Ready for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially in relation to data processing challenges. Prepare to discuss scenarios where you've had to troubleshoot issues or adapt to changing project requirements, showcasing your proactive approach.
