Research, Data & Insights Manager

Elevation Recruitment Group
Sheffield
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Clinical Data Science Programmer

Head of DevOps and DataOps

Data Science & Machine Learning - Senior Associate - Asset Management

Consultant, Data Science and Business Analyst, AI & Data, Defence & Security

Senior Data Scientist

Data Scientist, EMEA

Elevation IT are exclusively supporting one of prestigious Sheffield based client in their search for a Research, Data, and Insights Manager.


Sheffield - Hybrid

Salary up to £40,000 + benefits


Our client is dedicated to ensuring thy provide the best service, and their decisions are driven by robust data, research, and insights. They pride themselves on being a forward-thinking, data-centric organisation, and are looking for a passionate Research, Data, and Insights Manager to lead their efforts in leveraging data to ensure they are listening to the voices of their customers and improving strategic decision-making.


We are looking to speak with highly skilled and motivated Research, Data, and Insight professionals. In this role, you will lead the research and data functions (team of 3), transforming complex data into actionable insights that drive business performance and innovation. You will work closely with stakeholders across the organisation, helping to inform strategy, optimise performance, and improve our customer experience.


Key Duties & Responsibilities:


  • Lead qualitative and quantitative research projects to identify trends, market shifts, and customer behaviour
  • Analyse industry trends and competitor activity, providing actionable insights for strategic decision-making
  • Translate research findings into clear, concise, and compelling reports and presentations for stakeholders
  • Manage the end-to-end data process, from collection and cleansing to analysis and visualisation
  • Develop and maintain dashboards, reports, and performance metrics to track KPIs and key business drivers
  • Conduct advanced data analysis to uncover insights and opportunities for optimisation
  • Work closely with senior leadership to support the development of data-driven business strategies
  • Collaborate with cross-functional teams to ensure data and insights are integrated into all key decisions
  • Identify new opportunities to leverage data for efficiency and innovation
  • Lead and mentor a team of data analysts& researcher specialists
  • Foster a culture of data-driven decision-making and continuous improvement across the organisation


Key skills & Experience


  • Bachelor's or Master’s degree in Data Science, Business Analytics, Statistics, or related fields
  • Proven experience in a data, research, or insights role, with a focus on delivering actionable business insights
  • Advances Excell skills, strong knowledge of data analysis tools (e.g., SQL, Python, R) and visualisation platforms (e.g., Tableau, Power BI)
  • Skilled in the use of primary and secondary quantitative and qualitative research data, sources and methodologies, you will have relevant experience analysing complex and technical research data
  • Possess excellent stakeholder management skills, and the ability to think critically, you will be outcome focused and driven by a desire to create excellent customer experience


If you are passionate about data, research, and insights, and want to work in a dynamic, innovative environment, we would love to hear from you!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.