At a Glance
- Tasks: Lead data initiatives and shape a data-driven culture in marketing.
- Company: Join a leading entertainment business with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Other info: Exciting chance to lead transformational projects in a fast-paced setting.
- Why this job: Make a real impact by driving data strategy and influencing business decisions.
- Qualifications: 6+ years in data analytics, strong marketing background, and advanced Tableau skills.
The predicted salary is between 60000 - 80000 £ per year.
Join a leading entertainment business and play a pivotal role in shaping a data-driven culture across Marketing. You'll lead strategic data initiatives, own self-service reporting and insight platforms, and translate complex business challenges into actionable, measurable outcomes. Working closely with marketing, agency, legal, and data teams, you'll drive first-party data strategy, enhance decision-making through analytics, champion data governance, and upskill stakeholders to become confident users of data and insights.
Key Requirements:
- 6+ years' experience in data, analytics, reporting, or insights
- Strong background in marketing and media analytics
- Advanced Tableau expertise (essential)
- Experience with Snowflake, Datorama, APIs, and first-party data strategies
- Excellent stakeholder management and communication skills
- SQL knowledge advantageous
This is an exciting opportunity to lead transformational projects, influence business strategy, and future-proof data capabilities within a fast-paced, innovative environment.
Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job.
Senior Data & Insights Manager in London employer: Wild Berry Associates
Join a dynamic and fast-growing premium brand as a General Manager, where your ambition and drive for ownership will be rewarded. Our work culture fosters autonomy and accountability, allowing you to manage operations at a five-star standard while enjoying opportunities for professional growth and development. Located in a vibrant area, we offer a supportive environment that values exceptional service and teamwork, making it an ideal place for those seeking a meaningful and rewarding career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & Insights Manager in London
✨Get Involved in Data Science Meetups
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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 Wild Berry Associates.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data & Insights Manager at Wild Berry Associates, 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 Data & Insights 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 Wild Berry Associates, 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 Wild Berry Associates. 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 Wild Berry Associates
✨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 Wild Berry Associates!
✨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.