At a Glance
- Tasks: Lead data-focused projects and deliver impactful analyses for health research.
- Company: Global not-for-profit research organisation with a dynamic team.
- Benefits: Hybrid working, flexible hours, competitive salary, and career development opportunities.
- Other info: Join a supportive environment with excellent growth potential.
- Why this job: Make a real difference in health research while developing your data skills.
- Qualifications: Degree in Data Science or related field; experience in data analysis and leadership.
The predicted salary is between 40000 - 65000 £ per year.
Overview
We are currently seeking an experienced and motivated Senior Data Analyst to join our dynamic team within a global, not-for-profit research organisation.
This is an exciting opportunity for a data professional with a strong background in analytics, leadership, and database management to play a key role in the development and delivery of high-impact health research projects.
As a Senior 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.
You’ll also take on management responsibilities, supporting the training, appraisal, and career development of team members.
We offer hybrid working as standard, which is Monday, Wednesday and Friday in the office and Tuesday and Thursday working from home, from day one.
This role offers flexible working within standard office hours of Monday – Friday, 9am – 5pm.
- Primary responsibilities
- To assist the Data Manager in providing leadership and expertise by supporting the implementation of data-related projects across the company and its partner organisations.
- Support the Data Manager in identifying, creating, developing and improving existing databases and linkage with other databases.
- To deputise for the Data Manager at internal and external meetings as required.
- Data analysis for research and service projects: Interpret data, analyse results using statistical techniques and provide ongoing report.
Identify, analyse, and interpret trends or patterns in complex datasets.
- Provide researchers and clients with feasibility assessments and datasets and support with the interpretation and query resolution concerning datasets.
- Advise external researchers, clients and service users on the database(s) and its capabilities.
- To oversee training, development and management of staff in the Data team. To support the Data Manager with ongoing staff career development initiatives.
- To undertake and support appraisals for the Data team setting clear objectives and measurable outcomes.
- Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.
- Support with database querying, reporting and data requirements for supporting research studies.
- Maintaining data standards, including adherence to the Data Protection Act, information governance and company policies.
- Provide regular and ad hoc information, both written and verbal, to management, service users and clients, where approved by the Data Manager.
Qualifications
- A degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline
- Significant experience in a data analysis role, preferably in a healthcare, academic, or research environment
- Previous leadership or team management experience is desirable
Experience and Key Skills
- Strong analytical skills with proven experience handling large, complex datasets
- Proficient in statistical tools and database querying languages, such as SQL, R, Python and/or Power Bi
- Excellent communication skills, written and verbal, with the ability to explain data insights clearly to both technical and non-technical audiences
- Proven ability to manage multiple projects and meet deadlines in a fast-paced environment
- Experience supporting staff development and performance management
- Pay Range: £40,000.00-£65,000.00 per year dependent on the experience.
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Senior Data Analytics in Norwich employer: Optimum Patient Care Ltd
Optimum Patient Care Ltd is an exceptional employer that prioritises employee growth and development, offering a supportive work culture where collaboration and innovation thrive. With a hybrid working model, employees enjoy the flexibility of remote work while being part of a dynamic team in Norwich, fostering a balance between professional and personal life. The company is committed to impactful health research, providing meaningful opportunities for those passionate about making a difference in healthcare analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analytics in Norwich
✨Get Involved in Data Science Meetups
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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 Optimum Patient Care Ltd.
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We think you need these skills to ace Senior Data Analytics in Norwich
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 Optimum Patient Care Ltd, 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 Optimum Patient Care Ltd. 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 Optimum Patient Care Ltd
✨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 Optimum Patient Care Ltd!
✨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.
