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Lead Data Analyst - Market Research Consultancy

Phee Farrer Jones
London
4 months ago
Applications closed

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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.

We Are Aspire Ltd are aDisability ConfidentCommited employer

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