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- Tasks: Analyse data and create engaging narratives from complex datasets.
- Company: Join Oxford Economics, a leader in economic forecasting and consulting.
- Benefits: Enjoy private healthcare, flexible working, and enhanced parental leave.
- Why this job: Kickstart your career with hands-on experience in impactful research projects.
- Qualifications: Bachelor's degree and some data experience; Excel skills are a must.
- Other info: Dynamic team environment with opportunities for growth and learning.
The predicted salary is between 28800 - 48000 ÂŁ per year.
Oxford Economics, a leading economic forecasting and consulting firm, is seeking a highly motivated and detailâoriented Research Associate to join our Londonâbased Data Insights Thought Leadership team. This subâteam within the broader Thought Leadership practice focuses on producing quantitative research that helps leading global organisations engage executive audiences with insightful, dataâdriven content. Our work includes designing and analysing global business surveys, identifying trends and actionable insights, and transforming complex datasets into compelling, digestible narratives through charts, dashboards and written commentary.
The right candidate will bring a sharp analytical mind, a strong grasp of data tools like Excel and PowerPoint, and a passion for turning numbers into stories. This is an entryâlevel opportunity with significant development potential. You will get handsâon experience supporting highâprofile, sponsored research projects for major global brands, with room to grow into a clientâfacing project management role.
Key Responsibilities- Data Analysis & Research Support
- Assist in designing global surveys, collaborating with editors and clients to ensure questions are clear, relevant, and methodologically sound
- Clean, process and analyse large survey datasets (typically in Excel or through dashboard platforms)
- Collaborate with project managers to develop quantitative insights that feed into clientâfacing reports and presentations
- Build charts, graphs and data visualisations to illustrate findings in a clear and engaging way
- Perform desk research to ensure findings are contextualised and informed by wider business and economic trends
- Support editors with factâchecking, quote verification and data accuracy reviews
- Survey & Supplier Coordination
- Liaise with external survey providers to manage fieldwork logistics and monitor response rates
- Track data delivery timelines and ensure interim/final deliverables are reviewed and shared on time
- Escalate quality issues with suppliers when necessary and ensure all data specifications are met
- Ensure survey files, responses and deliverables are stored and documented properly
- Project Operations & Team Support
- Assist with organising expert interviews or coordinating contributions from external stakeholders
- Upload final thought leadership materials (reports, infographics, etc.) to the Oxford Economics website
- Track project progress through internal systems, including logging time and maintaining accurate financial records
- Support team members with general administrative tasks and document handling
- Education & Interest
- Bachelor's degree (field open; quantitative, business or social science backgrounds welcome)
- Curiosity about the global economy, executive decisionâmaking and how data influences business strategy
- Some experience working with data (e.g., academic research, internships, Excel projects, survey analysis)
- Technical & Analytical Skills
- Strong skills in Excel (e.g., functions, pivot tables, charting); familiarity with data dashboards (e.g. Tableau, PowerBI) a plus
- Proficiency in PowerPoint and Word, especially for presenting dataâbased insights
- Basic understanding of survey methodology and interest in quantitative storytelling
- Copyediting and proofreading ability is a bonus
- Personal Attributes
- Detailâoriented and highly conscientious
- Proactive selfâstarter who enjoys problemâsolving and learning new tools
- Comfortable working under deadlines and juggling multiple tasks
- Team player with strong communication skills
- Adaptable and collaborative, especially in a hybrid working setup
- Private Healthcare
- Employee Assistance Program
- Enhanced Maternity and Paternity Leave
- Workplace Nursery Scheme
- Cycle to Work Scheme
- Hybrid/Flexible Working
- Team Gatherings and Connection Boost
Oxford Economics is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, colour, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy or any other protected characteristic as outlined by federal, state or local laws.
Research Analyst - Thought Leadership - London employer: Oxford Economics
Contact Detail:
Oxford Economics Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Research Analyst - Thought Leadership - London
â¨Tip Number 1
Get your networking game on! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. You never know who might have a lead on that perfect Research Analyst role.
â¨Tip Number 2
Practice your interview skills! Mock interviews can help you feel more confident and prepared. Focus on articulating how your analytical skills and passion for data storytelling make you a great fit for the Thought Leadership team.
â¨Tip Number 3
Showcase your data skills! Create a portfolio of projects where you've analysed data or created visualisations. This will give you an edge and demonstrate your ability to turn numbers into compelling narratives.
â¨Tip Number 4
Apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Oxford Economics.
We think you need these skills to ace Research Analyst - Thought Leadership - London
Some tips for your application đŤĄ
Show Your Analytical Skills: When you're writing your application, make sure to highlight any experience you have with data analysis. We want to see how you've used tools like Excel or PowerPoint to turn numbers into stories, so donât hold back!
Tailor Your Application: Take a moment to customise your application for the Research Analyst role. Mention specific skills and experiences that align with the job description. This shows us that youâre genuinely interested and have done your homework.
Be Clear and Concise: We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points where necessary to break down your skills and experiences, especially when discussing your data-related projects.
Apply Through Our Website: Donât forget to submit your application through our website! Itâs the best way for us to receive your details and ensures youâre considered for the role. Plus, itâs super easy to do!
How to prepare for a job interview at Oxford Economics
â¨Know Your Data Tools
Make sure you brush up on your Excel skills before the interview. Be ready to discuss how you've used functions, pivot tables, and charting in past projects. If you have experience with data dashboards like Tableau or PowerBI, donât forget to mention that too!
â¨Understand the Role of Thought Leadership
Familiarise yourself with what thought leadership means in the context of economic research. Be prepared to talk about how data-driven insights can influence executive decision-making and why that matters for global organisations.
â¨Prepare for Quantitative Storytelling
Think about how you can turn complex datasets into compelling narratives. Have examples ready where you've transformed raw data into clear, engaging presentations or reports. This will show your analytical mind and storytelling ability.
â¨Show Your Team Spirit
Since collaboration is key in this role, be ready to share experiences where you worked effectively in a team. Highlight your communication skills and adaptability, especially in hybrid working environments, to demonstrate you're a great fit for their culture.
