At a Glance
- Tasks: Lead data-driven decisions and translate complex data into actionable insights.
- Company: Join WOLF, a fast-growing digital media platform revolutionising online audio entertainment.
- Benefits: Competitive salary, early finish Fridays, 25 days holiday, and a supportive culture.
- Other info: Hybrid role with opportunities for international travel and career growth.
- Why this job: Make a real impact in a dynamic environment while working with innovative tech.
- Qualifications: 10+ years in data roles, strong SQL and Python skills, and excellent communication.
The predicted salary is between 75000 - 85000 £ per year.
Requirements
- We need 10+ years of experience in a data-driven or business intelligence role, with strong commercial awareness and a relevant degree in Data, Maths, Stats, or a similar field.
- We strongly prefer experience working with mobile apps, digital tech, or gaming platforms, with an understanding of app-based user behavior and digital monetization levers.
- We need strong proficiency in SQL and Python.
- We value proven experience building dashboard and reporting solutions using Power BI or similar tools such as Mixpanel, Tableau, or Looker.
- We need exceptional communication skills with the ability to influence business decisions.
- We need someone who is proactive, comfortable with ambiguity, and has the leadership mindset needed to establish data governance.
- We require strong business English; spoken Arabic is highly advantageous.
- Applicants must have the existing right to work in the UK, with no sponsorship offered for this role.
Responsibilities
- We will have you spearhead data-informed decision-making across our business.
- We need you to go beyond raw metrics to deliver deep-dive monthly and comparative trend analyses that connect user behavior to monetization and channel strategies.
- We will rely on you to act as the bridge between complex data and business execution, translating quantitative findings into actionable recommendations for non-technical leadership and cross-functional teams.
- We want you to audit, refine, and clean up our reporting frameworks to ensure data reliability and accuracy, and to establish robust process controls that mitigate operational risk.
- We will have you take ownership of our data environment and establish data oversight standards as the business grows.
- We need you to help build, scale, and maintain dashboards across departments and evaluate and transition our data tools as our platform needs evolve.
- We expect you to work closely with Product, Finance, Marketing, and Executive teams to improve user engagement, app monetization, and operational efficiency.
- We may require you to manage and scale a broader data team over time.
- Occasional international travel to our global offices may be required.
Technologies
- Business Intelligence
- Looker
- Marketing
- Mobile
- Power BI
- Python
- SQL
- Tableau
More
We are WOLF, an innovative, fast-growing digital media and consumer platform powering vibrant online audio entertainment communities.
Our mobile app brings people together globally through live, interactive audio shows, talent discovery, and digital socializing.
We celebrate creativity, diversity, and belonging, and we offer a dynamic, flexible environment where every team member can bring their authentic self to work.
This is a full-time, permanent hybrid role based in London or South East, UK, with a minimum of 2 days per week in our London office.
We offer a highly competitive salary, early finish Fridays, 25 days holiday increasing with long-term service plus discretionary days off between Christmas and New Year, a Perkbox subscription, a competitive pension scheme, and a collaborative, casual, and supportive company culture.
- last updated 36 week of 2026
- #J-18808-Ljbffr
Data Lead in London employer: CMH Project Services
WOLF is an exceptional employer that champions a culture of innovation and collaboration, making it an ideal place for a Head of Data & Insights. With a hybrid role based in London, employees benefit from a dynamic work environment that encourages professional growth through continuous learning opportunities and mentorship. The company prioritises data-driven decision-making, empowering you to make a significant impact while enjoying a supportive atmosphere that values diverse perspectives.
StudySmarter Expert Advice🤫
We think this is how you could land Data Lead 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 CMH Project Services!
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✨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 CMH Project Services.
✨Apply Directly through Our Website
When you find a suitable opening like Data Lead at CMH Project Services, 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 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 CMH Project Services, 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 CMH Project Services. 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 CMH Project Services
✨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 CMH Project Services!
✨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.
