At a Glance
- Tasks: Lead data strategy and insights to transform marketing through analytics.
- Company: Join a leading global entertainment company with a focus on innovation.
- Benefits: Hybrid work, career development, and the chance to influence key business decisions.
- Other info: Collaborative environment with opportunities for growth and learning.
- Why this job: Shape marketing data strategy and work with advanced technologies.
- Qualifications: 6+ years in data strategy and marketing analytics required.
The predicted salary is between 72000 - 88000 £ per year.
Are you an experienced Senior Manager of Data & Insights Strategy with expertise in marketing analytics, first‑party data, business intelligence and customer insight? Join a leading global entertainment company where you’ll play a pivotal role in transforming marketing through data‑driven decision making. This senior leadership position will drive the evolution of data strategy, marketing measurement, reporting and audience insights, helping teams unlock greater value from data across campaigns, content launches and customer engagement initiatives.
About the role
You will act as the bridge between marketing, analytics, data engineering and data science teams, ensuring business requirements are translated into impactful data initiatives that drive measurable outcomes. This role will lead the development of self‑service reporting capabilities, first‑party data strategies and marketing performance frameworks while championing data literacy and insight‑driven decision making throughout the organisation. You will be responsible for identifying strategic opportunities, improving marketing measurement and enabling stakeholders to leverage data more effectively across the full customer lifecycle.
What you'll be doing:
- Lead the marketing data and insights strategy, driving business transformation through analytics and data‑led decision making
- Own and evolve enterprise reporting solutions built on platforms such as Tableau, Snowflake and marketing intelligence tools
- Expand data ecosystems to include media performance, brand tracking, social analytics, customer engagement and campaign measurement sources
- Partner with media and social agencies to improve reporting, insights and marketing effectiveness
- Conduct advanced statistical analysis, including correlation and regression modelling, to identify key performance drivers
- Develop and implement measurement frameworks aligned with business goals and marketing KPIs
- Serve as the primary marketing stakeholder for data, analytics and business intelligence projects
- Collaborate with data engineering, data science and analytics teams to deliver scalable solutions
- Define and lead first‑party data strategies across CRM, web analytics and social platforms
- Drive audience segmentation, targeting and activation strategies for paid media campaigns
- Deliver training and enablement programmes to improve data literacy and adoption of self‑service reporting tools
- Promote data governance, privacy compliance and best practices across all marketing data activities
- Work closely with legal and governance teams to ensure regulatory compliance and responsible data usage
What we're looking for:
Experience
- 6+ years of experience in data strategy, analytics, reporting or marketing intelligence roles
- Proven experience leveraging data to improve marketing, media and audience performance
- Experience leading cross‑functional data and analytics initiatives
- Strong background working with internal stakeholders, agencies and external partners
Skills
- Expertise in marketing analytics, attribution and performance measurement
- Advanced knowledge of Tableau for dashboard development and self‑service reporting
- Strong understanding of first‑party data strategies, audience development and customer analytics
- Experience working with marketing technologies such as DMPs, DSPs and campaign measurement platforms
- Ability to gather and translate business requirements into actionable data solutions
- Strong stakeholder management and communication skills
- Strategic thinking combined with effective project delivery capabilities
- Ability to identify meaningful insights from complex datasets and translate them into business recommendations
Nice to have
- Experience with Snowflake, Datorama or similar marketing data platforms
- SQL knowledge and experience querying large datasets
- Experience integrating CRM, media, web analytics and social data sources
- Familiarity with data governance, privacy frameworks and marketing compliance requirements
- Experience delivering training programmes and improving organisational data literacy
Working style/behaviours
- Strategic and commercially minded
- Passionate about data democratisation and self‑service analytics
- Strong communicator who can influence at all levels of an organisation
- Collaborative across marketing, analytics and technology functions
- Proactive and solutions‑oriented with a focus on measurable outcomes
- Continuously curious about emerging trends in data, analytics and digital marketing
Why join
- Opportunity to shape marketing data strategy within a globally recognised entertainment organisation
- Lead transformational initiatives across analytics, audience insights and measurement
- Work with advanced technologies and large‑scale consumer datasets
- Influence key business decisions through data and performance insights
- Collaborative, innovative environment with strong career development opportunities
- High‑visibility role partnering with senior stakeholders across marketing and technology teams
Location: London, UK (Hybrid)
Employment type: Full‑time, Contract
If you're a data‑driven marketing leader who thrives on turning complex data into strategic business impact, we'd love to hear from you. Apply now or email Joe McKernan - jm@skillsearch.com
Years of experience and salary levels are shown purely as a guide. We will only consider applications from candidates that can demonstrate the skills or experience required for the role. Please be aware that while we would love to respond to every application we receive, due to high numbers we cannot guarantee this. We do however appreciate any time you invest into the application and will make sure to get in touch should anything in future more closely fit your skillset.
Data & Insights Strategy Manager in London employer: Skillsearch
Skillsearch is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving AI sector. With hybrid working arrangements, competitive salaries, and performance incentives, employees are empowered to thrive while enjoying substantial career progression opportunities. Joining Skillsearch means being part of a forward-thinking team dedicated to driving meaningful growth across the UK and EMEA markets.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Insights Strategy Manager in London
✨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 Skillsearch!
✨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 Data & Insights Strategy Manager at Skillsearch.
✨Leverage Professional Networks
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 Skillsearch.
✨Apply Directly through Our Website
When you find a suitable opening like Data & Insights Strategy Manager at Skillsearch, 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 Data & Insights Strategy Manager in London
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 Skillsearch, 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 Skillsearch. 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 Skillsearch
✨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 Skillsearch!
✨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.
