At a Glance
- Tasks: Lead data-driven strategies and transform insights into actionable business recommendations.
- Company: Join WOLF, a vibrant digital media platform fostering creativity and community.
- Benefits: Competitive salary, flexible hybrid work, early finish Fridays, and 25 days holiday.
- Other info: Dynamic culture with opportunities for growth and international travel.
- Why this job: Shape the future of audio entertainment with impactful data insights and collaboration.
- Qualifications: 5+ years in data roles, strong SQL and Python skills, and experience with mobile apps.
The predicted salary is between 59400 - 72600 £ per year.
Location: London or South East, UK (Hybrid – minimum 2 days per week in our London office)
Job Type: Full-Time, Permanent
Reporting To: Chief Operating Officer
Salary: Competitive, Based On Experience
About WOLF
WOLF is an innovative, fast-growing digital media and consumer platform powering vibrant online audio entertainment communities. Our app brings people together globally through live, interactive audio shows, talent discovery, and digital socializing. Celebrating creativity, diversity, and belonging, we provide a dynamic, flexible environment where every team member can bring their authentic self to work. As we scale our app, optimize channel usage, and drive monetization, data is at the heart of our next chapter. We are looking for a commercially sharp data leader to shape how we track, understand, and act on our numbers.
The Role
Are you a commercially minded data expert who looks beyond the raw metrics to find the story underneath? We are seeking a Data Lead / Senior Data Analyst to spearhead data-informed decision-making across WOLF. We don’t just need someone to pull reports; we need a strategic partner who can transform raw data into actionable business recommendations. Working closely with Product, Finance, Marketing, and Executive teams, you will clean up and mature our reporting processes, eliminate single-point dependencies, and provide the deep comparative insights (MoM/YoY) needed to supercharge user engagement, app monetization, and operational efficiency.
Key Responsibilities
- Insight & Strategy: Go beyond raw metrics (registrations, DAU, retention, spend). Deliver deep-dive monthly and comparative trend analyses that connect user behavior to clear monetization and channel strategies.
- Stakeholder Partnership & Communication: Act as the bridge between complex data and business execution. Translate quantitative findings into simple, actionable recommendations for non-technical leadership and cross-functional teams.
- Process Cleanup & Oversight: Audit, refine, and clean up our current reporting frameworks to ensure total data reliability and accuracy. Establish robust process controls to mitigate operational risk.
- Data Function Evolution: Take ownership of our data environment. As the business grows, you will establish data oversight standards and potentially manage and scale a broader data team.
- Reporting Architecture: Build, scale, and maintain dashboards across departments. Help evaluate and transition our data tools as our platform needs evolve.
What You Will Bring
- Experience: 5+ years of experience in a data-driven or business intelligence role, backed by strong commercial awareness and a relevant degree (Data, Maths, Stats, etc.).
- Industry Background: Highly preferred experience working with mobile apps, digital tech, or gaming platforms. You understand app-based user behavior and digital monetization levers.
- Technical Skills: Strong proficiency in SQL and Python.
- BI & Dashboards: Proven experience building dashboard and reporting solutions using Power BI (highly valued) or similar tools (MixPanel, Tableau, Looker). Tool adaptability is key, as we look to optimize our tech stack moving forward.
- Core Competencies: Exceptional communication skills with the ability to influence business decisions. You are proactive, comfortable with ambiguity, and possess the leadership mindset needed to establish data governance.
- Language & Travel: Strong business English is mandatory. Spoken Arabic is highly advantageous. Occasional international travel to our global offices may be required.
What We Offer in Return
- Highly competitive salary
- Flexible hybrid working (minimum 2 days in the London office)
- Early finish Fridays
- 25 days holiday (increasing with long-term service) plus discretionary days off between Christmas and New Year
- Perkbox subscription
- Competitive pension scheme
- A collaborative, casual, and supportive company culture
Requirements
- Right to Work: Applicants must have the existing right to work in the UK. No sponsorship is offered for this role.
Data Lead 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
✨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!
✨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 Lead at Ersilia.
✨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 Ersilia.
✨Apply Directly through Our Website
When you find a suitable opening like Data Lead 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
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.
