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- Tasks: Analyse data to generate insights and support business decisions in the online dating industry.
- Company: Bumble Inc. connects people through healthy relationships, prioritising women in dating.
- Benefits: Enjoy flexible work options, upskilling opportunities, and a diverse, inclusive workplace.
- Why this job: Join a dynamic team solving impactful questions while enhancing your data skills in a fun environment.
- Qualifications: Experience in SQL, data visualisation, and A/B testing; Python knowledge is a plus.
- Other info: Open to all backgrounds; we encourage diverse applicants to apply.
The predicted salary is between 28800 - 43200 £ per year.
Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help. In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc).
We’re looking for curious analysts interested in being considered for a Data Analyst role in the Advanced Data Analytics team and who are buzzing to solve impactful questions for exciting products in the online dating industry and beyond. In this role, you’ll support our stakeholders with data and insights related to a variety of business areas. You’ll be involved in experimentation design and planning, visualisations, trend diagnostics, dashboarding and much, much more.
What you'll do:
- You’ll have access to the most diverse, varied and complex data sets in the technology world right now (10’s of billions of data points per day!!)
- You’ll be doing all the typical day-to-day tasks such as generating practical insights from the data, manipulating complex datasets, helping us understand how to improve and optimise our members experience to facilitate the creation of meaningful, equitable and healthy relationships.
- Unlock your potential by upskilling in SQL, Python and other essential tools, empowering you to expand your skill set and excel in your career.
- You will help uncover tactical and strategic insights and support experimentation in a range of areas such as revenue management, operations and strategy.
- For instance, you could work on testing and validating pricing and promotion based opportunities across our portfolio of apps.
- You will make contributions to the data model and could contribute to building out data pipelines.
- You’ll collaborate closely with several potential teams including Product Managers, strategists, operations managers, and Data Engineers, building detailed, entrepreneurial and business-minded insights that directly contribute to the successful growth of Bumble Inc.
You have confidence in the following:
- You are a data analyst with expertise in SQL, data visualisation, A/B testing, statistical knowledge and storytelling, etc, is entrepreneurial, gets excited about building from scratch, and is relentlessly experimenting in pursuit of building a product that members love.
- Supporting experimentation analytics (e.g. A/B testing, user group testing): significance analysis, non-parametric methods, bootstrapping, causal inference.
- Manipulating complex datasets using a range of tools such as SQL and Hive.
- Building effective self-serve tools and visualisations to help optimise decision making.
- Engaging and collaborating with key stakeholders such as developers, product managers, and senior management.
- Identifying issues and opportunities, translating business problems into analytical diagnoses and delivering insights that answer the most pressing questions.
- Supporting engineers and teammates in improving data quality, and specifying requirements for new data collection.
- Partnering with the wider analytics/data science team to solve business problems.
- Experience in Python is desirable but not required.
- Experience with data modelling and making domain-specific data models is a plus.
About Us
Bumble Inc. is the parent company of Bumble, Badoo, Bumble For Friends, and Geneva. The Bumble platform enables people to build healthy and equitable relationships, through Kind Connections. Founded by Whitney Wolfe Herd in 2014, Bumble was one of the first dating apps built with women at the center and connects people across dating (Bumble Date), friendship (Bumble For Friends) and professional networking (Bumble Bizz). Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products. Bumble For Friends is a friendship app where people in all stages of life can meet people nearby and create meaningful platonic connections. Geneva is a group and community app for people to connect based on shared interests.
Associate Data Analyst, Revenue employer: Bumble Inc.
Contact Detail:
Bumble Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Data Analyst, Revenue
✨Tip Number 1
Familiarise yourself with the online dating industry and Bumble's unique approach to building relationships. Understanding their mission and values will help you align your insights and ideas with what they are looking for in a candidate.
✨Tip Number 2
Brush up on your SQL and data visualisation skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that showcase your ability to manipulate complex datasets and create insightful visualisations.
✨Tip Number 3
Network with current or former employees of Bumble Inc. on platforms like LinkedIn. Engaging in conversations about their experiences can provide you with valuable insights into the company culture and expectations, which can be beneficial during interviews.
✨Tip Number 4
Prepare to discuss your experience with A/B testing and statistical analysis. Be ready to share specific examples of how you've used these methods to derive insights and make data-driven decisions in previous roles or projects.
We think you need these skills to ace Associate Data Analyst, Revenue
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasise your expertise in SQL, data visualisation, and A/B testing. Mention any experience you have with Python or data modelling, even if it's not extensive.
Show Your Curiosity: Bumble Inc. is looking for curious analysts. In your application, express your enthusiasm for solving impactful questions and your eagerness to learn and experiment with data.
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Associate Data Analyst role. Use keywords from the job description to demonstrate that you understand what they are looking for.
Include Your Pronouns: As Bumble Inc. encourages applicants to share their pronouns, make sure to include them in your application. This shows your awareness of inclusivity and aligns with their company values.
How to prepare for a job interview at Bumble Inc.
✨Show Your Curiosity
As an Associate Data Analyst, curiosity is key. Be prepared to discuss how you've approached complex data problems in the past and what insights you uncovered. This will demonstrate your eagerness to explore and solve impactful questions.
✨Highlight Your Technical Skills
Make sure to showcase your expertise in SQL and data visualisation during the interview. Prepare examples of projects where you've manipulated complex datasets or built effective self-serve tools, as this aligns with the role's requirements.
✨Prepare for A/B Testing Questions
Since the role involves supporting experimentation analytics, brush up on your knowledge of A/B testing methodologies. Be ready to explain how you've conducted tests, analysed significance, and applied statistical methods in previous roles.
✨Emphasise Collaboration
Bumble Inc. values teamwork, so be ready to discuss your experience working with cross-functional teams. Share specific examples of how you've engaged with stakeholders like product managers or engineers to deliver insights that drive business decisions.
