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- Tasks: Transform complex healthcare data into actionable insights and support impactful research projects.
- Company: Join a leading global research organisation dedicated to improving patient outcomes.
- Benefits: Flexible working hours, hybrid model, and opportunities for professional growth.
- Why this job: Make a real difference in health research while developing your data skills.
- Qualifications: Bachelor's degree in relevant field and strong SQL knowledge required.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
We are currently seeking an experienced and motivated Data Analyst to join our dynamic team within a global research organisation. This is an exciting opportunity for a data professional with a strong background in analytics and database management to play a key role in the development and delivery of high-impact health research projects. As a Data Analyst, you will support the Data Analytics Manager in leading data-focused projects across the organisation and its partner networks. You will contribute to the development and optimisation of database systems, deliver detailed analyses for research studies, and help guide data governance and quality practices. The role can be based in our Cambridge (Oakington) or Norwich office. We offer hybrid working as standard, which is Monday, Wednesday and Friday in the office and Tuesday and Thursday working from home. This role offers flexible working within the usual office hours of Monday – Friday, 9am – 5pm. Part time and close to full time working arrangements are available.
Primary responsibilities:
- Solve complex problems in study and healthcare data, transforming large and diverse datasets into actionable insights that drive evidence-based decisions and improve patient outcomes.
- Design, construct, install, test and maintain data collection and management systems.
- Assist in the development of the data analytics function and team, continuously striving to optimise data utilisation and delivery.
- Provide support and guidance to the team in the integration of data management technologies and software engineering tools for custom data collection applications.
- Employ a variety of languages and tools (e.g. scripting languages) to combine systems together ensuring seamless integration of data across multiple databases SQL, queries.
- Building APIs for data consumption; Integrating external or new datasets into existing data pipelines.
- Continuously monitor and test the system to ensure optimised performance, coaching key stakeholders in new ways of working.
- Build, maintain and oversee data collection platforms for specific organisational projects.
- Set up automated integration processes for Patient Reported Outcomes into various data collection platforms.
- EMR/EDC integration with Registry Database.
Qualifications and Certifications:
- Bachelor’s degree in computer science, Engineering, Maths or equivalent qualification.
Experience and Skills:
- Strong working knowledge of SQL/T-SQL (Essential).
- At least three years’ experience of working with large databases.
- Experience of developing and maintaining data dictionaries for databases.
- Knowledge of statistical analysis tools (e.g. R, STATA, SPSS, SAS).
- The ability to effectively communicate to key project stakeholders including Senior Management.
- The ability to coach, mentor and support junior team members and provide training and guidance as necessary.
- Strong project management skills, the ability to work autonomously and prioritise own activities appropriately.
- Experience with REDCap EDC development, including designing electronic case report forms, managing study workflows, and ensuring data quality in clinical trials.
- Experience working with modern data architectures and cloud platforms such as Microsoft Azure, Google Cloud Platform (GCP) or Snowflake.
- Knowledge of epidemiology, public health and clinical research.
About Optimum Patient Care: Optimum Patient Care has been supporting chronic disease management and research in primary care for over 15 years. We are a not-for-profit social enterprise which provides a range of services to over 1000 GP surgeries across England, Scotland, Wales and Northern Ireland. Our services include clinical audit and review services, IG-compliant data extraction services, and research support services. Our services are provided at no cost to participating practices and freely available to all GP surgeries across the UK. Our anonymised research database, OPC Research Database (OPCRD), is one of the largest electronic health record databases in the world for research use, with over 17 million anonymised patients.
Data Analyst in Norwich employer: Optimum Patient Care Global Limited
Contact Detail:
Optimum Patient Care Global Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Norwich
✨Tip Number 1
Network like a pro! Reach out to your connections in the data analytics field, attend industry meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects, analyses, and any cool visualisations you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions and scenarios. Practice explaining your thought process when solving complex problems, as this is key for a Data Analyst role.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from candidates who are excited about joining our team. Plus, it shows you're genuinely interested in the role.
We think you need these skills to ace Data Analyst in Norwich
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, data management, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our team. Be sure to mention any specific experiences that relate to the responsibilities listed in the job description.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your proficiency in SQL, any statistical analysis tools you’ve used, and your experience with data collection systems. We love seeing candidates who are technically savvy!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Optimum Patient Care Global Limited
✨Know Your Data Tools
Make sure you brush up on your SQL and any statistical analysis tools mentioned in the job description, like R or SPSS. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of data management.
✨Showcase Problem-Solving Skills
Prepare examples of complex problems you've solved using data analytics. Think about specific projects where your insights led to evidence-based decisions. This will demonstrate your ability to transform large datasets into actionable insights, which is key for the role.
✨Understand the Company’s Mission
Familiarise yourself with Optimum Patient Care's work in chronic disease management and their research database. Showing that you understand their mission and how your role as a Data Analyst fits into it can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, data governance practices, and the technologies they use. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values.