At a Glance
- Tasks: Lead a high-performing insights team to drive customer-first strategies and actionable decisions.
- Company: Join a dynamic e-commerce leader focused on growth and innovation.
- Benefits: Enjoy competitive salary, flexible hours, private health care, and fun team events.
- Other info: Collaborative culture with opportunities for professional development and pizza discounts!
- Why this job: Shape impactful strategies that drive market share and customer value in a fast-paced environment.
- Qualifications: Experience in insights leadership and strong SQL skills for data analysis.
The predicted salary is between 70000 - 90000 £ per year.
We're now looking for a strategic and commercially minded Head of Insights to join our Digital & Data leadership team. This is a pivotal role, responsible for shaping a customer-first insights strategy that drives growth, market share and customer lifetime value across UK & ROI. You'll lead a high-performing insights team and partner closely with cross functional teams across the business to turn complex data into clear, actionable decisions at senior and board level.
Responsibilities
- Proven experience operating as a Head of Insights or Senior Insights Leader within a fast-paced, consumer-facing e-commerce environment.
- Proven ability to create and execute insight-led strategies and delivery plans, with clear evidence of projects that have driven measurable financial and commercial outcomes.
- Exceptional communication skills, with experience presenting complex insight and strategic recommendations to C-suite and senior leadership, as well as influencing the wider business.
Qualifications
- Strong working knowledge of SQL, with the ability to interrogate complex datasets and translate outputs into meaningful commercial insight.
- Advanced proficiency in Microsoft Office, particularly Excel and PowerPoint, to analyse data and present insight clearly and effectively.
Benefits
- Competitive salary and performance-based bonuses.
- Flexible work hours and remote work options.
- Competitive pension contributions.
- Private health and dental care.
- Income protection.
- Professional development opportunities.
- Fun team events and a supportive work environment.
- Pizza discount!
Head of Insights in Cheadle employer: Dominos Pizza
Join a dynamic and innovative team as the Head of Insights, where you'll have the opportunity to shape a customer-first strategy that drives growth in a fast-paced e-commerce environment. Our company offers a competitive salary, flexible working arrangements, and a strong focus on professional development, ensuring you thrive both personally and professionally. With a supportive work culture and fun team events, including pizza discounts, we prioritise employee well-being and engagement, making us an excellent employer in the UK & ROI.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Insights in Cheadle
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dominos Pizza!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dominos Pizza.
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We think you need these skills to ace Head of Insights in Cheadle
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Dominos Pizza, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dominos Pizza. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Dominos Pizza
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dominos Pizza!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
