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- Tasks: Lead a talented team in delivering high-quality data analytics for market research projects.
- Company: Join an award-winning market research agency with a people-first culture.
- Benefits: Enjoy hybrid working, professional development, and a senior leadership role.
- Other info: Opportunity for career growth and influence over data strategy.
- Why this job: Make a real impact in evolving market research through automation and advanced analytics.
- Qualifications: Senior-level experience in data operations and strong analytical skills required.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Are you a Data Operations Lead looking for an exciting opportunity to elevate your career? Do you want to become part of a highly successful agency with a talented team and people‑first culture?
We are excited to be working with an award‑winning market research agency who is looking for an experienced Data Operations Lead to take ownership of its data delivery and analytics capabilities.
Hybrid / remote working | Senior leadership role
Market research analytics is evolving rapidly. Automation, AI and advanced statistical techniques are fundamentally changing how data is collected, structured and interpreted. This role is designed for someone who is motivated by that change and excited by the opportunity to lead both operational excellence and technical progression.
You will be responsible for ensuring high‑quality, timely and robust data outputs across complex research projects, while leading and developing an established specialist team. The Data Operations Lead holds end‑to‑end accountability for survey data, analytics delivery and scripting standards. You will manage day‑to‑day operations while shaping future capability through improved processes, automation and new analytical approaches.
Working closely with research and insight teams, you will act as the senior authority on data methodology, analysis and technical problem‑solving.
Key Responsibilities:- Team Leadership & Operations
- Lead, mentor and develop a specialist data and analytics team
- Allocate work effectively and anticipate resourcing pressures in advance
- Own delivery timelines and ensure outputs are delivered accurately and on schedule
- Drive continuous improvement through clearer processes, documentation and quality controls
- Identify learning needs and lead training initiatives to upskill the team
- Project & Delivery Oversight
- Provide technical leadership across complex research projects
- Partner with research teams to recommend appropriate analytical approaches
- Design and oversee experimental frameworks for advanced studies
- Act as the escalation point for complex data or methodological challenges
- Maintain full visibility of project milestones and delivery checkpoints
- Analytics & Statistics
- Provide expert guidance on the application of statistical techniques
- Deliver and quality‑check structured data tables and analytical outputs
- Apply core analytical approaches such as drivers analysis, segmentation, pricing and brand metrics
- Lead the application of advanced analytical techniques
- Ensure all analysis is methodologically sound, clearly explained and fit for purpose
- Review and sign off on work produced by other team members
- Survey Design & Scripting
- Oversee the development and checking of complex online surveys
- Design efficient survey structures, including quotas, routing and block designs
- Ensure correct handling of completes, screen‑outs and quota management
- Apply custom scripting and logic where required to support advanced methodologies
- Maintain best practice in respondent experience, data integrity and quality assurance
- Communication & Development
- Act as the senior data contact for client‑facing and research teams
- Communicate complex analytical concepts clearly to non‑technical stakeholders
- Contribute to future improvements in research methods and operational processes
- Support the adoption of automation and AI‑driven approaches where they add value
- Senior‑level experience in data operations, analytics or data management within a research or agency environment
- Strong track record delivering complex, high‑value research projects
- Deep understanding of survey data, analysis workflows and quality control
- Advanced statistical knowledge with practical application experience
- Strong survey scripting and experimental design capability
- Working knowledge of analytical programming languages such as R and/or Python
- Proven people leadership and line management experience
- Highly analytical, detail‑oriented and solutions‑focused
- Comfortable operating autonomously while collaborating across teams
- Senior leadership role with real influence over data strategy and delivery
- Hybrid working model with regular in‑person collaboration
- Strong focus on professional development and progression
10 . 02 Data Operations Lead Filter-MARKET RESEARCH in Leeds employer: Zealousagency
Contact Detail:
Zealousagency Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 10 . 02 Data Operations Lead Filter-MARKET RESEARCH in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the market research field and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that dream job.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and industry knowledge. Be ready to discuss how you've tackled complex data challenges in the past, as this will show your expertise and problem-solving abilities.
✨Tip Number 3
Don’t just wait for job postings; be proactive! Research companies you admire and reach out directly. Express your interest in their work and how you could contribute, especially in areas like data delivery and analytics.
✨Tip Number 4
Finally, apply through our website! We’re always looking for talented individuals who are passionate about data operations and analytics. Your next big opportunity could be just a click away!
We think you need these skills to ace 10 . 02 Data Operations Lead Filter-MARKET RESEARCH in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Operations Lead role. Highlight your leadership experience, data management skills, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're excited about this opportunity and how your background makes you the perfect fit. Don’t forget to mention your passion for data operations and analytics – we love that!
Showcase Your Technical Skills: Since this role involves advanced statistical techniques and programming languages like R or Python, make sure to highlight your technical expertise. Share specific examples of how you've applied these skills in past roles to solve complex problems.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Zealousagency
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data operations and analytics. Be prepared to discuss specific methodologies you've used in past projects, especially those involving advanced statistical techniques. This will show that you're not just familiar with the concepts but have practical experience applying them.
✨Showcase Your Leadership Skills
As a Data Operations Lead, you'll be expected to lead and mentor a team. Think of examples from your previous roles where you've successfully managed teams or projects. Highlight how you’ve driven continuous improvement and supported your team’s development—this will demonstrate your capability as a leader.
✨Prepare for Technical Questions
Expect to face technical questions related to survey design, scripting, and data analysis. Brush up on your knowledge of analytical programming languages like R and Python. Being able to articulate your thought process when tackling complex data challenges will set you apart from other candidates.
✨Communicate Clearly and Confidently
You'll need to explain complex analytical concepts to non-technical stakeholders, so practice simplifying your explanations. Use clear, concise language and avoid jargon where possible. This will showcase your ability to bridge the gap between technical and non-technical teams, which is crucial for this role.