At a Glance
- Tasks: Transform raw data into strategic insights and drive engagement and monetization.
- Company: WOLF, a forward-thinking company with a focus on data-driven decisions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with Product, Finance, Marketing, and Exec teams in a vibrant London office.
- Why this job: Shape the future of data analytics and make a real impact in a dynamic environment.
- Qualifications: 5+ years in data/BI, strong SQL and Python skills, experience with dashboard tools.
The predicted salary is between 40500 - 49500 £ per year.
WOLF is seeking a Data Lead / Senior Data Analyst to shape how we track, understand, and act on our metrics.
Hybrid work in London or South East, UK with at least 2 days in the London office.
You will transform raw data into strategic insights, partnering with Product, Finance, Marketing and Exec teams to drive engagement and monetization.
The role requires 5+ years in data/BI, strong SQL and Python, and experience with dashboards tools (Power BI preferred, others OK).
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Data Lead: Insights & Monetization (Hybrid UK) in London employer: Ersilia
Ersilia is an exceptional employer that values innovation and collaboration, offering a dynamic work culture where employees are empowered to drive growth in the FMCG sector. With a strong focus on professional development, team members have access to ongoing training and mentorship opportunities, ensuring they can thrive in their roles while enjoying the flexibility of remote work across the Midlands and East Anglia. Join us to be part of a supportive environment that prioritises employee well-being and fosters meaningful relationships with clients.
StudySmarter Expert Advice🤫
We think this is how you could land Data Lead: Insights & Monetization (Hybrid UK) 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 Ersilia!
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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 Ersilia.
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When you find a suitable opening like Data Lead: Insights & Monetization (Hybrid UK) at Ersilia, 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 Lead: Insights & Monetization (Hybrid UK) 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 Ersilia, 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 Ersilia. 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 Ersilia
✨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 Ersilia!
✨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.
