At a Glance
- Tasks: Lead research projects, manage relationships, and deliver insights for retailers and manufacturers.
- Company: Dunnhumby, a global leader in Customer Data Science with a collaborative culture.
- Benefits: Flexible working hours, holiday perks, and access to cutting-edge technology.
- Other info: Join a diverse team that values continuous improvement and collaboration.
- Why this job: Make a real impact by driving insights that put customers at the heart of decisions.
- Qualifications: Strong quantitative research experience and analytical skills with a proactive mindset.
The predicted salary is between 60000 - 80000 € per year.
dunnhumby is a global leader in Customer Data Science, working with retailers and brands to put customers at the heart of decisions. We employ nearly 2,500 experts worldwide.
Responsibilities
- Full responsibility for managing research, including proposal writing, methodology development, questionnaire writing, quantitative data analysis, interpretation of results, and delivery to lead research projects for retailers and manufacturers.
- Work with and manage relationships with third-party suppliers and fieldwork agencies to deliver quality projects that meet best practice in a timely fashion.
- Collaborate with internal client teams, agencies, and clients to integrate insight and ensure timely and accurate delivery of results.
- Develop and enhance ways of working within the team to maximise efficiencies and showcase best practice across the business.
- Keep abreast of industry standards and developments within the solution area to stay informed and ahead of the competition.
- Champion the benefits of attitudinal data to wider stakeholders, making engagement with attitudinal data simple for non-experts.
- Lead relationships with manufacturers and retailer contacts, collaborating with supporting teams, to deliver revenue targets and integrated insight and communications for clients.
- Use analytical expertise drawing upon different data sets to deliver integrated attitudinal-behavioural insight.
Qualifications
- Strong quantitative market research experience.
- Experience with AI tools used as part of research processes or analysis.
- Strong knowledge of statistical principles and quantitative research techniques.
- Accurate and clear written skills when producing questionnaires and reports.
- Strong analytical background using standard statistical packages (Excel, Q, SPSS, etc.).
- Strong data visualisation and story-telling skills.
- Strong ability to collaborate effectively within a team.
- Proven capability to build and maintain strong relationships with colleagues and external partners.
- A proactive approach to identifying new opportunities and driving them forward.
- Genuine enthusiasm and a positive attitude.
- Commitment to delivering work of the highest quality.
- Strong problem-solving skills to tackle complex challenges.
- A growth mindset with a drive to continuously improve yourself and enhance how things are done.
Benefits and Working Conditions
- We offer a comprehensive rewards package, flexible working hours, holiday and birthday day off, and a nimble, small-business culture with access to cutting-edge technology.
- We value diversity and inclusion, with networks such as dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled, and dh Thrive.
- Our flexible working approach allows you to balance a successful career with personal commitments.
- We provide a supportive and inclusive culture that encourages continuous improvement and collaboration.
- We want everyone to have the opportunity to shine and perform at their best throughout our recruitment process.
Senior Research Lead employer: ENGINEERINGUK
dunnhumby is an exceptional employer, offering a dynamic and inclusive work environment where employees can thrive. With a strong focus on professional growth, the company provides access to cutting-edge technology and a comprehensive rewards package, including flexible working hours and unique initiatives that promote diversity and well-being. Located in a vibrant setting, dunnhumby encourages collaboration and innovation, making it an ideal place for those seeking meaningful and rewarding careers in Customer Data Science.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Lead
✨Tip Number 1
Network like a pro! Reach out to current employees at dunnhumby on LinkedIn or through mutual connections. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Showcase your analytical skills! Prepare a portfolio of past research projects that highlight your quantitative expertise and data visualisation skills. We want to see how you tell a story with data!
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing answers to common questions about research methodologies and your experience with AI tools. We need to see that enthusiasm and problem-solving mindset shine through!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Senior Research Lead
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Research Lead role. Highlight your quantitative market research experience and any relevant AI tools you've used. We want to see how your skills align with our needs!
Show Off Your Writing Skills:Since clear written communication is key, ensure your application is well-structured and free of errors. Use concise language to demonstrate your ability to produce high-quality questionnaires and reports, just like you would in the role.
Demonstrate Your Analytical Prowess:In your application, mention specific statistical packages you're familiar with, like Excel or SPSS. We love seeing how you can draw insights from data, so share examples of how you've done this in past projects!
Be Yourself!:We value genuine enthusiasm and a positive attitude. Let your personality shine through in your application. Don’t forget to apply through our website – we’re excited to see what you bring to the table!
How to prepare for a job interview at ENGINEERINGUK
✨Know Your Research Inside Out
Before the interview, dive deep into dunnhumby's work and their approach to customer data science. Familiarise yourself with their recent projects and methodologies. This will not only show your genuine interest but also help you discuss how your experience aligns with their needs.
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of your quantitative market research experience. Highlight your proficiency with statistical packages like Excel, Q, or SPSS, and be ready to explain how you've used these tools to derive insights from complex data sets.
✨Demonstrate Collaboration and Relationship Building
Since the role involves managing relationships with third-party suppliers and internal teams, share examples of how you've successfully collaborated in the past. Emphasise your ability to build strong relationships and how this has led to successful project outcomes.
✨Embrace a Growth Mindset
Dunnhumby values continuous improvement, so be sure to express your commitment to personal and professional development. Share instances where you've proactively identified opportunities for improvement and how you've driven those initiatives forward.
