At a Glance
- Tasks: Manage and analyse complex datasets to support impactful research.
- Company: Public sector organisation based in modern Edinburgh offices.
- Benefits: Competitive daily rate, remote work options, and a chance to make a difference.
- Other info: Collaborative team environment with opportunities for professional growth.
- Why this job: Use your data skills for meaningful public impact and policy development.
- Qualifications: Experience with data analysis, Excel, Power BI, and strong problem-solving skills.
The predicted salary is between 31500 - 38500 £ per year.
- Research Officer (Data Analyst)
- 194.38 per day (Outside IR35) / 23 Months - Edinburgh
Parity is delighted to partner with our client, a public sector organisation, who are looking to recruit a on a 23-month contract basis.
You will be based in their modern, central Edinburgh offices with potential to work remotely 2 days a week.
About the Role
We are looking for a Research Officer (Data Analyst) to join the Policy & Research Team.
This role would suit an experienced data analyst who enjoys working with complex datasets and using data to support high-quality research and evidence-based reporting.
Working directly with the Senior Researcher and Data Analyst, you will support the day-to-day management of research databases, including data input, cleaning, querying, and analysis.
You will use advanced Excel skills alongside tools such as Power BI to produce accurate and meaningful analytical reports.
Key Responsibilities
- Support the day-to-day management of research databases and relationships between datasets.
- Conduct data cleaning, querying, and manipulation.
- Maintain and develop Excel workbooks used for research and analysis.
- Use Excel and Power BI to manipulate data and produce analytical reports.
- Analyse information gathered by wider Inquiry teams for research purposes.
- Communicate findings clearly and appropriately to a range of stakeholders.
- Take ownership of individual projects, objectives, and targets.
- Support the copy-editing and proofreading of reports, ensuring accuracy and consistency.
- Collaborate with colleagues across the multidisciplinary team.
- Provide wider support to the Policy & Research Team where required.
About You
You will have strong practical data analysis experience and confident working with complex, sensitive datasets in a research environment.
Advanced Microsoft Excel skills are essential, including experience with
Power Query and Macros . You should also be comfortable using data analysis and manipulation tools and technologies such as
Power BI, Access, SQL, R and/or Python .
You will also have
- Experience gathering, managing, manipulating, and analysing complex and sensitive data.
- Experience working with large-scale research projects and datasets.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and a commitment to data quality and accuracy.
- Experience working to tight deadlines and managing competing priorities.
- The ability to work independently and as part of a multidisciplinary team.
- Excellent organisational and time-management skills.
- Effective communication and presentation skills, with a good command of English.
- Resilience and the ability to work appropriately with sensitive and potentially distressing subject matter.
Why Apply?
This is an opportunity to use your data and analytical expertise to support work of significant public importance.
You will be working with complex research data and contributing to evidence that will help inform recommendations for future policy and practice.
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Research Officer (Data Analyst ) employer: Parity Network
At Parity Network, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through continuous training opportunities and a supportive environment that encourages professional development. With the flexibility of hybrid working arrangements in the UK, we ensure our team members can achieve a healthy work-life balance while contributing to impactful public sector projects.
StudySmarter Expert Advice🤫
We think this is how you could land Research Officer (Data Analyst )
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Parity Network before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
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We think you need these skills to ace Research Officer (Data Analyst )
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Parity Network, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Parity Network, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Parity Network’s attention and show the tangible impact of your work.
How to prepare for a job interview at Parity Network
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Parity Network.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Parity Network.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Parity Network.
