Hybrid Data Analyst & Research Officer (Policy Insights)

Hybrid Data Analyst & Research Officer (Policy Insights)

Temporary 31050 - 37950 £ / year (est.) Home office (partial)
Parity Network

At a Glance

  • Tasks: Support the Policy & Research Team with data analysis and evidence-based reporting.
  • Company: Join Parity Network, a forward-thinking organisation in Edinburgh.
  • Benefits: Enjoy remote work options, competitive pay, and a supportive team environment.
  • Other info: Flexible working hours and opportunities for professional growth.
  • Why this job: Make a real difference by turning data into impactful policy insights.
  • Qualifications: Advanced Excel skills and experience with Power BI, SQL, R or Python required.

The predicted salary is between 31050 - 37950 £ per year.

Parity Network is recruiting a Research Officer (Data Analyst) for a 23-month contract in Edinburgh, with potential to work remotely two days a week. You will support the Policy & Research Team, manage research databases, and perform complex data analysis using Excel and Power BI to deliver evidence-based reporting.

The role requires:

  • Advanced Excel skills (Power Query, Macros)
  • Experience with Power BI, Access, SQL, R and/or Python
  • Strong attention to detail

Hybrid Data Analyst & Research Officer (Policy Insights) 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.

Parity Network

Contact Details:

Parity Network Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Data Analyst & Research Officer (Policy Insights)

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!

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We think you need these skills to ace Hybrid Data Analyst & Research Officer (Policy Insights)

Advanced Excel Skills
Power Query
Macros
Power BI
Access
SQL
R

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.