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- Tasks: Lead complex data analysis projects and deliver insights to clients.
- Company: Join a rapidly growing market research consultancy focused on data-driven insights.
- Benefits: Enjoy full-time employment with opportunities for growth and team leadership.
- Why this job: Be at the forefront of innovative research methods and AI tools in a dynamic environment.
- Qualifications: 5+ years in analytics, expertise in quantitative methods, and strong project management skills required.
- Other info: Opportunity to train junior members and shape the future of the analytics team.
The predicted salary is between 43200 - 72000 £ per year.
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. Seniority level: Mid-Senior level Employment type: Full-time Job function: Consulting, Information Technology, and Research Industries: Information Services, Technology, Information and Internet, and Technology, Information and Media We Are Aspire Ltd are a Disability Confident Committed employer. #J-18808-Ljbffr
Lead Data Analyst - Market Research Consultancy employer: WeAreAspire
Contact Detail:
WeAreAspire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst - Market Research Consultancy
✨Tip Number 1
Familiarise yourself with the specific quantitative methods mentioned in the job description, such as conjoint analysis and MaxDiff. Being able to discuss these methodologies confidently during your interview will demonstrate your expertise and understanding of the role.
✨Tip Number 2
Showcase your project management skills by preparing examples of how you've successfully managed external suppliers and internal resources in past roles. This will highlight your ability to handle the responsibilities outlined in the job description.
✨Tip Number 3
If you have experience with AI tools or data visualisation software like Tableau or PowerBI, be ready to discuss specific projects where you utilised these tools. This will set you apart from other candidates and align with the company's growth plans.
✨Tip Number 4
Network with professionals in the market research field, especially those who work with data analytics. Engaging with industry peers can provide insights into the company culture and may even lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Lead Data Analyst - Market Research Consultancy
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly with quantitative methods like conjoint and MaxDiff. Use specific examples from your past roles to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with their needs, especially your project management experience and familiarity with tools like Q/SPSS and Sawtooth.
Showcase Your Analytical Skills: Provide concrete examples of complex data analysis projects you've led or contributed to. Highlight your ability to manage external suppliers and deliver insights that drive business decisions.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail, including your experience with Python, SQL, and data visualisation tools. Prepare to explain how you've applied these skills in previous roles to achieve results.
How to prepare for a job interview at WeAreAspire
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with complex quantitative methods like conjoint and MaxDiff. Bring examples of past projects where you successfully applied these techniques, as this will demonstrate your expertise and problem-solving abilities.
✨Familiarise Yourself with Relevant Tools
Make sure you are well-versed in the tools mentioned in the job description, such as Q/SPSS, Excel, and Sawtooth. If you have experience with data visualisation tools like Tableau or PowerBI, be ready to discuss how you've used them to enhance your analyses.
✨Demonstrate Project Management Experience
Highlight your project management skills by discussing how you've managed external suppliers and internal resources in previous roles. Be specific about the challenges you faced and how you overcame them to ensure successful project delivery.
✨Prepare for Technical Questions
Expect technical questions related to data analysis and methodologies. Brush up on your knowledge of Python, SQL, and AI tools, as these may come up during the interview. Being able to articulate your understanding will set you apart from other candidates.
