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- Tasks: Lead complex data analysis projects and deliver insights to clients.
- Company: Join a growing market research consultancy focused on data-driven insights.
- Benefits: Opportunity for career growth and team leadership in a dynamic environment.
- Why this job: Be part of an expanding agency with a focus on innovative research methodologies.
- Qualifications: 5+ years in analytics, expertise in quantitative methods, and strong project management skills required.
- Other info: Experience with AI tools and data visualization is a plus.
The predicted salary is between 36000 - 60000 £ per year.
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Lead Data Analyst – Market Research Consultancy, Greater London
Client:
Phee Farrer Jones
Location:
Greater London, United Kingdom
Job Category:
Other
EU work permit required:
Yes
Job Reference:
fbb3b0c4685c
Job Views:
6
Posted:
02.03.2025
Expiry Date:
16.04.2025
Job Description:
Join our growing team and shape the future of data-driven insights!
Our client is an expanding research agency, seeking a highly skilled and experienced Data Analyst Specialist to join a team as a Lead Consultant. This is a fantastic opportunity to play a key role in our clients growth plans, which include doubling in size over the next 2-3 years and expanding their capabilities in both B2B (60-70% focus) and consumer research.
About the Role:
As a Lead Consultant, you will be a key player in delivering complex data analysis and insights to our clients. You will be responsible for the design and execution of a range of quantitative research projects, leveraging your expertise in advanced methodologies. This role offers significant growth potential, with the opportunity to build and lead a data analytics team in the future.
Responsibilities:
- Design and analytically execute complex quantitative methods, including conjoint, MaxDiff, and segmentation, tailored to bespoke client briefs.
- Manage all external suppliers throughout the quantitative research project lifecycle, including script checking, data cleaning, and liaison with partners.
- Address scripting queries and ensure data delivery aligns with analytical needs (data loops, codeframes, etc.).
- Build and analyze conjoint grids and choice-based models using Sawtooth software.
- Perform market sizing exercises and segmentation analyses.
- Assist with the development and implementation of AI tools and dashboards.
- Train junior team members on data manipulation and analysis techniques.
Ideal Candidate:
- 5+ years of hands-on agency experience in analytics (research/insight agency) is ideal.
- Proven experience with the design and analytical execution of complex quantitative methods, including conjoint, MaxDiff, and segmentation.
- In-depth understanding of quantitative techniques and their application to research objectives.
- Strong project management skills, including managing external suppliers and internal resources.
- Proficiency in Q/SPSS, Excel, and Sawtooth (essential).
- Strong analytical and quantitative skills.
- Familiarity with data visualization tools (e.g., Tableau, PowerBI) is desirable.
- Experience with Python, SQL, and dashboard creation (e.g., Jaspersoft) is a plus.
- Background in data science or quantitative analytics is preferred.
- Experience with AI tools and applications in research is a plus.
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Lead Data Analyst - Market Research Consultancy employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst - Market Research Consultancy
✨Tip Number 1
Make sure to showcase your experience with complex quantitative methods like conjoint and MaxDiff in your conversations. Be prepared to discuss specific projects where you've successfully applied these techniques.
✨Tip Number 2
Highlight your project management skills during interviews. Discuss how you've managed external suppliers and internal resources effectively, as this is crucial for the role.
✨Tip Number 3
Familiarize yourself with the latest AI tools and data visualization software. Being able to discuss how you can implement these tools in research will set you apart from other candidates.
✨Tip Number 4
Network with professionals in the market research field. Attend relevant industry events or webinars to connect with potential colleagues and learn more about the company culture at Phee Farrer Jones.
We think you need these skills to ace Lead Data Analyst - Market Research Consultancy
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Lead Data Analyst position. Understand the key responsibilities and required skills, especially focusing on quantitative methods and data analysis techniques.
Tailor Your CV: Customize your CV to highlight relevant experience in analytics, particularly your hands-on agency experience and proficiency with tools like Q/SPSS, Excel, and Sawtooth. Make sure to showcase any projects where you've used complex quantitative methods.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your enthusiasm for the role and the company. Mention specific experiences that align with the responsibilities of designing and executing quantitative research projects.
Highlight Leadership Potential: Since this role has growth potential, emphasize any past experiences where you have led teams or projects. Discuss your ability to train junior team members and manage external suppliers, showcasing your project management skills.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Quantitative Expertise
Be prepared to discuss your experience with complex quantitative methods like conjoint analysis, MaxDiff, and segmentation. Highlight specific projects where you successfully applied these techniques to deliver insights.
✨Demonstrate Project Management Skills
Since managing external suppliers is a key responsibility, share examples of how you've effectively managed projects in the past. Discuss your approach to coordinating teams and ensuring timely delivery of data.
✨Familiarize Yourself with Relevant Tools
Make sure you are comfortable discussing your proficiency in Q/SPSS, Excel, and Sawtooth. If you have experience with data visualization tools like Tableau or PowerBI, be ready to explain how you've used them in your work.
✨Prepare for AI and Data Science Discussions
Given the emphasis on AI tools and applications, think about how you've integrated AI into your research processes. Be ready to discuss any relevant experience with Python, SQL, or dashboard creation that could set you apart.
