At a Glance
- Tasks: Analyse data to drive insights and optimise products for a global audience.
- Company: Join Muzz, the leading dating app for Muslims, in a hybrid work environment.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on innovation and growth.
- Why this job: Make a real impact by understanding user behaviour and shaping product strategy.
- Qualifications: 3+ years in analytics, strong SQL skills, and experience with BI tools.
The predicted salary is between 40500 - 49500 £ per year.
London, UK (Hybrid - Tues, Wed and Thurs in office)
Muzz is the world's biggest dating and marriage app for Muslims, but we've still got a way to go! We need a smart and ambitious data analyst, with real entrepreneurial flair to join our Data Science team to understand our members and all the metrics that matter. Love numbers and love being commercial? This is the role for you.
You'll be joining a dynamic data science team whose goal is to grow the company and optimize our products as we expand into new markets around the world.
Responsibilities:
- Understand our user behaviour on the app with a view to generating actionable insights in terms of both product and marketing.
- Own reporting - set up and maintain dashboards to assess KPIs whilst enabling self-service.
- Provide analytical support across all areas of the product development lifecycle, from opportunity to product strategy, feature analysis and experimentation.
- Work closely with our product managers, mobile and backend engineers, UX, marketing and user acquisition teams.
- Provide continuous training of business users to get the most of our BI Tool.
Requirements and skills needed:
- 3 years+ professional experience in analytics.
- Strong SQL knowledge, and proven experience in optimizing queries for performance, scalability, and ease of maintenance.
- Create and maintain BI dashboards, data models, explores and views.
- Excellent communication skills and presenting to non-technical audiences.
- Ability to work flexibly, be organised and capable of prioritising requests.
- Ability to work collaboratively in cross-functional teams.
- Provide design support for our data models to answer multiple business needs through collaboration with data engineers.
Nice to have:
- Experience with Looker/ThoughtSpot.
- Experience with Redshift/BigQuery.
- Experience in designing and conducting A/B experiments.
Product Data Analyst (FTC - 6 month Maternity Cover) 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 Product Data Analyst (FTC - 6 month Maternity Cover)
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Muzz before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Muzz.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Muzz.
We think you need these skills to ace Product Data Analyst (FTC - 6 month Maternity Cover)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Muzz, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Muzz, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Muzz’s attention and show the tangible impact of your work.
How to prepare for a job interview at Muzz
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Muzz.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Muzz.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Muzz.
