Lead Data Analyst - Market Research Consultancy

Lead Data Analyst - Market Research Consultancy

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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