At a Glance
- Tasks: Analyse data to drive growth and improve marketing strategies for Muzz.
- Company: Join a fast-growing app aiming to connect millions of couples worldwide.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional development.
- Other info: Exciting chance to explore new datasets and tools in a collaborative environment.
- Why this job: Be part of a dynamic team making a real impact in the Muslim community.
- Qualifications: 3+ years in data analytics with strong SQL skills and marketing knowledge.
The predicted salary is between 45000 - 55000 £ per year.
London, UK (Hybrid - Tues, Wed and Thurs in office)
Did you see one of our viral campaigns, like findmohamedawife. com ?
Or maybe you know one of the 800,000 couples who met through Muzz?
Whatever brought you here, now's the perfect time to join a team on its way to becoming the first billion-dollar Muslim app.
We're looking for a
Growth Data Analyst to join our dynamic Data team and help us make better decisions about how we grow Muzz around the world.
You'll be the analytical partner to our Growth team, owning measurement across global marketing activity and turning data into insights that help us acquire, activate, retain and monetise more users.
This isn't a role where you'll simply build dashboards and wait for someone to ask for a report.
You'll work closely with Growth, Product and Data teams to understand what's happening, figure out why and identify what we should do next.
If you enjoy solving complex problems, explaining data in simple terms and finding opportunities hidden in the numbers, we'd love to hear from you.
- Day to day
- Own measurement across Muzz's global marketing activities and assess how effectively our marketing investments drive growth.
- Build and maintain dashboards that give Marketing teams visibility of their KPIs and enable self-service reporting.
- Analyse marketing performance across channels, markets and campaigns to identify growth opportunities.
- Work closely with regional Brand, Social Media and Events teams to turn data and insights into better marketing strategies.
- Investigate new and emerging marketing channels and assess their potential to drive incremental growth.
- Own and prioritise ad hoc analytical requests from Marketing Specialists across our global markets.
- Turn complex analysis into clear recommendations that help teams make better, data-led decisions.
- Present findings and insights to non-technical stakeholders in a simple and actionable way.
- Train and support business users so they can get the most out of our BI tools and become more self-sufficient with data.
- Work with Product Analysts and Product teams to identify opportunities to use product features and data to improve personalised marketing.
- Analyse opportunities to improve activation, retention and monetisation through better marketing and product collaboration.
- Partner with Data Engineers to improve data models and ensure they can support multiple analytical and business needs.
- Explore new datasets, tools and analytical approaches that can help Muzz better understand its users and growth opportunities.
- Continuously improve how Marketing measures performance, reports results and uses data to make decisions.
- What we’re looking for
3+ years of experience in data analytics, growth analytics, marketing analytics or a related field.
- Strong
SQL skills , with experience writing efficient, scalable and maintainable queries.
- Experience building and maintaining
BI dashboards, data models, searches and views .
- Strong understanding of marketing measurement and performance , including acquisition, campaign performance and growth metrics.
- Experience working with data-focused marketing teams and translating marketing questions into meaningful analysis.
- Strong analytical and problem-solving skills , with the ability to investigate complex questions and turn findings into clear recommendations.
- Excellent communication and presentation skills , particularly the ability to explain complex data and insights to non-technical audiences.
- Strong stakeholder management skills , with the confidence to work closely with Marketing, Product, Data and regional teams around the world.
- Highly organised and able to prioritise multiple requests while balancing urgent business needs with longer-term analytical projects.
- A commercial and growth mindset , with a genuine interest in understanding how data can unlock new opportunities for the business.
- Comfortable working independently and proactively identifying questions that the business should be asking, rather than only answering questions you're given.
- Experience collaborating with
Data Engineers to design and improve data models that can support multiple business needs.
- Must-Haves
- You can confidently write, optimise and maintain SQL queries and work with data models to answer complex business questions.
- Marketing & growth analytics
- You understand how marketing works and can connect metrics, campaigns and channels to meaningful business outcomes.
- Analytical storytelling
- You can turn complex analysis into a clear story, communicate insights to non-technical audiences and make recommendations that people can act on.
- Ownership & prioritisation
- You're organised, proactive and comfortable managing multiple requests, prioritising competing needs and independently finding opportunities to improve how the business uses data.
- Nice-to-haves
- Experience with
Google Big Query .
- Experience with
Mobile Measurement Platforms such as Apps Flyer or Adjust.
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Growth Data Analyst employer: Muzz
Muzz is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those looking to make a significant impact in backend development. With a focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies in a supportive environment. Located in a vibrant tech hub, Muzz offers unique advantages such as flexible working arrangements and a strong emphasis on work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Growth Data Analyst
✨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 Muzz!
✨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 Growth Data Analyst at Muzz.
✨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 Muzz.
✨Apply Directly through Our Website
When you find a suitable opening like Growth Data Analyst at Muzz, 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 Growth Data Analyst
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 Muzz, 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 Muzz. 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 Muzz
✨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 Muzz!
✨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.
