At a Glance
- Tasks: Lead a team to transform data into actionable insights for better decision-making.
- Company: Fast-scaling international marketplace with a focus on data innovation.
- Benefits: Competitive salary, private healthcare, wellbeing days, and a dog-friendly office.
- Other info: Join a vibrant team with a supportive culture and excellent career growth opportunities.
- Why this job: Shape the future of data in a dynamic environment and influence key business decisions.
- Qualifications: Strong analytics experience, leadership skills, and proficiency in SQL or Python.
The predicted salary is between 90000 - 100000 £ per year.
Brighton, hybrid, 2 days per week onsite
£90,000 - £100,000 base salary
Hybrid working, 2 days per week in Brighton
25 days holiday plus bank holidays & more
We’re supporting a fast-scaling, international marketplace business that is investing heavily in how data is used across the company. This is not a “more dashboards” type of role. It is a senior insight and data leadership position focused on improving the quality of commercial decision-making across customer, pricing, marketing and finance.
You’ll lead the central analytics and insight capability, manage and develop a small team, and help shape how the business moves towards a more modern, AI-enabled, democratised approach to data. The role sits at the centre of a growing hub-and-spoke data model, working closely with embedded data roles in product/platform squads while owning the central foundations: certified metrics, semantic layers, trusted insight, governance, standards and decision-support.
What you’ll be doing:
- Leading and developing a team of data specialists
- Partnering with senior commercial stakeholders across customer, pricing, marketing and finance
- Turning ambiguous business questions into clear, actionable insight
- Owning trusted data foundations, including certified metrics, semantic layers and insight standards
- Supporting AI and LLM-enabled access to data, with the right guardrails in place
- Driving better data culture, stronger decision-making and sharper commercial recommendations
- Helping shape a wider data community of practice as the business scales
We’re looking for someone with:
- Strong experience across analytics, insight, decision science or applied data
- Proven experience leading, coaching and growing data teams
- Strong SQL and/or Python capability
- A good understanding of the modern data stack across analytics, engineering, insight and advanced analytics
- Commercially focused stakeholder management experience
- The ability to tell the story behind the data and influence senior decision-makers
- Experience operating across multiple internal functions with competing priorities
Bonus points for experience with:
- Semantic layers, metrics layers or LLM-over-warehouse capability
- Marketplace, e-commerce or consumer-facing businesses
- Experimentation, A/B testing or decision science in a product/commercial setting
- Helping a data team move from traditional analytics towards a more full-stack model
- Hub-and-spoke data structures or embedded data roles
Package and benefits include:
- Wellbeing day
- 5% employer pension contribution
- Private healthcare
- EAP and employee discounts
- Learning and development support
- Volunteer days
- Dog-friendly office and active social calendar
This would suit a senior data leader who enjoys being close to the business, can raise the standard of insight across multiple functions, and wants to play a key role in shaping how data works in a scaling marketplace environment.
Senior Insight Lead in Ipswich employer: Burns Sheehan
Join a dynamic and fast-scaling international marketplace business in Brighton, where you will lead a talented team of data specialists and play a pivotal role in enhancing commercial decision-making. With a strong focus on employee wellbeing, including 25 days holiday, private healthcare, and a dog-friendly office, we foster a collaborative and innovative work culture that prioritises personal and professional growth. This is an exciting opportunity to shape the future of data within a supportive environment that values your contributions and encourages a modern, AI-enabled approach to analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Insight Lead in Ipswich
✨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 Burns Sheehan!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Insight Lead at Burns Sheehan.
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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 Burns Sheehan.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Insight Lead at Burns Sheehan, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Insight Lead in Ipswich
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 Burns Sheehan, 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 Burns Sheehan. 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 Burns Sheehan
✨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 Burns Sheehan!
✨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.
