At a Glance
- Tasks: Analyse data to drive product strategy and support cross-functional teams with insights.
- Company: Join Bumble Inc., a leader in fostering kind connections through innovative technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on creativity and data-driven decision-making.
- Why this job: Make a real impact on product development while collaborating with talented teams.
- Qualifications: Graduate degree preferred; experience in SQL, Python, and data visualisation tools required.
The predicted salary is between 50000 - 60000 £ per year.
Bumble Inc. is seeking a skilled Product Analyst to collaborate with senior business stakeholders and product managers in providing data-driven insights across all stages of the product development lifecycle. This role will focus on experimentation, statistical analysis, data modelling and visualisation, as well as in-depth product analyses. This is a unique opportunity for an experienced analyst who enjoys a fast-paced environment and has a passion for contributing to helping the Bumble Inc. mission to foster kind connections.
KEY ACCOUNTABILITIES
- Be an analytical thought partner to a cross-functional team of engineers, designers and product managers, providing analytical support across all areas of the product development lifecycle, from ideation and broad product strategy to analytics deep dives and experimentation.
- Lead experimentation across an area of the product, designing and executing multi-step experiments to understand the impact of a feature or product change on user behaviour and business KPIs. Interpret experiment results and translate them into actionable recommendations for a non-technical audience.
- Own event tracking for one area of the app, understanding which events are critical to track user behaviour.
- Create self-serve dashboards to ensure stakeholders have access to real-time insights.
- Provide actionable insights on product strategy and recommendations to stakeholders, automating decision-making where applicable and providing tools and solutions that help enable self-service and scalability.
- Develop deep knowledge of the product domain, becoming an authority on its characteristics, drivers, and subsystems.
- Contribute to data quality related to the domain, proactively working with Data and Analytics Engineering and other teams to improve data collection and modelling.
- Create an environment of utilising data for planning and execution, always keeping in mind alternative and creative solutions to performance measurement across a variety of product initiatives.
REQUIRED EXPERIENCE & SKILLS
- Preference for a graduate degree in Mathematics, Engineering, Information Sciences, Economics, Finance, or STEM. PhD and Masters welcome.
- Experience using SQL and Python to solve data science, statistical and analytics problems.
- Experience working in similar dating, social, or gaming tech product industries or in financial services or high-data-volume industries.
- Experience working in a highly collaborative cross-functional space and translating technical insights for a non-technical audience.
- Experience setting up experimentation, statistical measurement, and data collection in the product domain.
- Strong experience creating data visualisations and self-serve tools for a product-focused audience.
- Keep an eye on the industry, understanding how the wider dating industry influences product strategy.
- Experience working with complex data infrastructures and partnering with data engineering to facilitate ingestion, warehousing, and optimisation of databases.
- 3+ years experience in product analytics, being able to elaborate on the business impact driven in previous experience.
ABOUT YOU
- Strong believer in Bumble Inc.’s brand vision and values.
- Engaging, inspiring and clear communicator with a proven track record of socialising and embedding analytical findings to drive business outcomes.
- Demonstrate a data science skillset and use advanced analytical tools and visualisations to produce impact in an organisation.
- Deep commercial understanding and a proven ability to create impact through the power of customer-led insights.
- Comfort in operating in ambiguous and complex problem spaces, helping cross-functional teams to define the questions that support product development.
- A love of collaborating with colleagues and stakeholders to arrive at rounded and balanced perspectives in work, with a strong desire to learn from others.
- Commercially minded, with a keen sense of where insights can fuel growth.
- Strong experience with Python/SQL, visualisation tooling such as Looker/Tableau, and machine learning/data science tooling such as Streamlit/Count/Kubeflow.
- Strong governance and data quality mindset.
Data Analyst, Product Strategy (12 month FTC) employer: Bumble
Bumble Inc. is an exceptional employer that fosters a collaborative and innovative work culture, where data-driven insights play a crucial role in shaping product strategy. Employees benefit from a dynamic environment that encourages professional growth through hands-on experience with cutting-edge tools and methodologies, all while contributing to a mission that promotes kind connections. Located in a vibrant tech hub, Bumble offers unique opportunities for networking and personal development, making it an ideal place for passionate analysts looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst, Product Strategy (12 month FTC)
✨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 Bumble 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 Bumble.
✨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 Bumble.
We think you need these skills to ace Data Analyst, Product Strategy (12 month FTC)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Bumble, 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 Bumble, 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 Bumble’s attention and show the tangible impact of your work.
How to prepare for a job interview at Bumble
✨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 Bumble.
✨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 Bumble.
✨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 Bumble.
