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- Tasks: Design and execute advanced quantitative research techniques to uncover insights.
- Company: Join a growing, consultative research agency in London focused on data-driven storytelling.
- Benefits: Enjoy competitive salary, 26 days holiday, £2,000 training budget, and private healthcare.
- Why this job: Shape the data function in a collaborative team and make a real impact.
- Qualifications: Strong experience in quantitative research and proficiency in statistical tools like R or SPSS.
- Other info: Hybrid work model: Tuesdays to Thursdays in the office.
The predicted salary is between 43200 - 72000 £ per year.
📢 Data & Analytics Specialist – Market Research. They\’re keen to look at analytics candidates from SRE through to RD level.
📍 London (Hybrid: Tues-Thurs in office)
💰 Competitive Salary + Great benefits (Bonus 5-15% + 26 days holiday, £2,000 training budget, 26 days holiday, pension, private healthcare etc.)
Are you a data-driven thinker with a passion for uncovering insights? We’re looking for a Data & Analytics Specialist to join a growing, consultative research agency in London. This role is perfect for someone who thrives on working with complex datasets, enjoys building models, and loves turning numbers into stories. They\’re keen to look at analytics candidates from SRE through to RD level.
🔹 What You’ll Do:
✔ Design and execute advanced quantitative research techniques (e.g., conjoint, MaxDiff, segmentation, pricing etc)
✔ Develop and run analytical models to extract meaningful insights
✔ Work closely with research consultants to support data-driven storytelling
✔ Ensure the integrity and accuracy of data analysis across projects
🔹 What We’re Looking For:
✔ Strong experience in quantitative research & data analytics.
✔ Proficiency in statistical techniques and tools (e.g., R, SPSS or Q or equivalent.
✔ Advanced Excel skills – Macros, Pivot tables, Conditional Formatting, Data cleaning, Use of advanced Functions.
✔ A consultative mindset—able to translate complex data into actionable insights.
✔ Previous experience in market research, analytics, or a similar data-heavy role.
This is an opportunity to shape the data function within a collaborative, insight-driven team. If you’re ready to make an impact, apply now!
📩 Interested? Drop us a message to learn more!
Lead Data Analyst (Sawtooth) | Market Research employer: ENI – Elizabeth Norman International
Contact Detail:
ENI – Elizabeth Norman International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst (Sawtooth) | Market Research
✨Tip Number 1
Familiarize yourself with the specific quantitative research techniques mentioned in the job description, such as conjoint analysis and MaxDiff. Being able to discuss these methods confidently during your interview will demonstrate your expertise and enthusiasm for the role.
✨Tip Number 2
Brush up on your statistical tools like R, SPSS, or Q. Consider working on a small project or case study that showcases your ability to analyze data and extract insights using these tools, as this will give you concrete examples to share during discussions.
✨Tip Number 3
Highlight your experience with advanced Excel functions, especially Macros and Pivot tables. Prepare to discuss specific instances where you've used these skills to solve problems or improve processes in previous roles.
✨Tip Number 4
Emphasize your consultative mindset by preparing examples of how you've translated complex data into actionable insights in past projects. This will show that you not only understand the data but can also communicate its value effectively.
We think you need these skills to ace Lead Data Analyst (Sawtooth) | Market Research
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Lead Data Analyst position. Familiarize yourself with advanced quantitative research techniques and the tools mentioned in the job description.
Tailor Your CV: Customize your CV to highlight your experience in quantitative research and data analytics. Emphasize your proficiency in statistical tools like R, SPSS, or Q, and showcase your advanced Excel skills.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for data-driven insights. Use specific examples from your past experiences to demonstrate how you've successfully turned complex datasets into actionable insights.
Highlight Your Consultative Mindset: In your application, emphasize your ability to work collaboratively with research consultants and your consultative approach to translating data into stories. This will show that you align with the company's values and culture.
How to prepare for a job interview at ENI – Elizabeth Norman International
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with quantitative research techniques. Highlight specific projects where you designed and executed advanced models, such as conjoint analysis or segmentation, and explain the impact of your findings.
✨Demonstrate Proficiency in Tools
Make sure to mention your proficiency in statistical tools like R, SPSS, or Q. If possible, bring examples of how you've used these tools to derive insights from complex datasets, as this will show your technical capabilities.
✨Prepare for Data Storytelling
Since the role emphasizes data-driven storytelling, think of instances where you translated complex data into actionable insights. Practice explaining these stories clearly and concisely, as this will be crucial in demonstrating your consultative mindset.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to market research and analytics. This shows your genuine interest in the role and helps you understand how you can contribute to their data function effectively.
