Associate Data Analyst, Revenue

Bumble Inc.
London
2 days ago
Create job alert

Inclusion at Bumble Inc.

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.

#J-18808-Ljbffr

Related Jobs

View all jobs

Associate Data Analytics Director

Associate Director, Operations and Data Analysis

Transaction Manager - Retail

Data Governance Analyst

Finance Controller

Lead Data Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

Data Science Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Data science has become a linchpin in modern business, transforming oceans of raw data into actionable insights that guide strategy, product development, and personalised customer experiences. With this surge in data-centric operations, the need for effective data science leadership has never been more critical. Guiding a team of data scientists, analysts, and machine learning engineers requires not only technical acumen but also the ability to foster collaboration, champion ethical practices, and align complex modelling efforts with overarching business goals. This article provides practical guidance for managers and aspiring leaders aiming to excel in data-driven environments. By exploring strategies to motivate data science professionals, develop mentoring frameworks, and set achievable milestones, you will be better prepared to steer your team towards meaningful, evidence-based outcomes.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.