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:

1. Design and analytically execute complex quantitative methods, including conjoint, MaxDiff, and segmentation, tailored to bespoke client briefs.
2. Manage all external suppliers throughout the quantitative research project lifecycle, including script checking, data cleaning, and liaison with partners.
3. Address scripting queries and ensure data delivery aligns with analytical needs (data loops, codeframes, etc.).
4. Build and analyze conjoint grids and choice-based models using Sawtooth software.
5. Perform market sizing exercises and segmentation analyses.
6. Assist with the development and implementation of AI tools and dashboards.
7. Train junior team members on data manipulation and analysis techniques.

Ideal Candidate:

1. 5+ years of hands-on agency experience in analytics (research/insight agency) is ideal.
2. Proven experience with the design and analytical execution of complex quantitative methods, including conjoint, MaxDiff, and segmentation.
3. In-depth understanding of quantitative techniques and their application to research objectives.
4. Strong project management skills, including managing external suppliers and internal resources.
5. Proficiency in Q/SPSS, Excel, and Sawtooth (essential).
6. Strong analytical and quantitative skills.
7. Familiarity with data visualization tools (e.g., Tableau, PowerBI) is desirable.
8. Experience with Python, SQL, and dashboard creation (e.g., Jaspersoft) is a plus.
9. Background in data science or quantitative analytics is preferred.
10. Experience with AI tools and applications in research is a plus.

We Are Aspire Ltd are a Committed employer.

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