Funding Analytics Specialist

Funding Analytics Specialist

Full-Time 49500 - 60500 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and operate analytical tools for £2 billion in strategic funding.
  • Company: Join UK Research and Innovation, a leader in research funding.
  • Benefits: Flexible working hours, competitive pay, and valuable experience.
  • Other info: Bristol-based role with opportunities for professional growth.
  • Why this job: Make a real impact on funding decisions that shape the future.
  • Qualifications: Experience with R, data analysis, and strong communication skills.

The predicted salary is between 49500 - 60500 £ per year.

UK Research and Innovation is seeking a Funding Analyst in England to design and operate analytical tools supporting the allocation of £2 billion in strategic institutional funding.

You will deliver datasets, dashboards, and models while ensuring quality and reliability of outputs.

The role requires experience with R and data analysis, plus strong communication to explain findings to stakeholders.

Bristol-based, full-time or part-time 0.8 FTE, fixed-term six months.

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Funding Analytics Specialist employer: UK Research and Innovation

UK Research and Innovation is an exceptional employer, offering a collaborative work culture that values innovation and integrity. Employees benefit from professional development opportunities and the chance to contribute to groundbreaking environmental research, all while working in a supportive environment that prioritises safety and compliance in aviation operations.

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Contact Details:

UK Research and Innovation Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Funding Analytics Specialist

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We think you need these skills to ace Funding Analytics Specialist

Communication Skills
SQL
Automation
Problem-Solving Skills
Python
Attention to Detail
Data Engineering

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!

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How to prepare for a job interview at UK Research and Innovation

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Get Comfortable with Python and R

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