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Data Analyst, Product Strategy (12 month FTC)

  • Job
    Mid Level
  • Product
  • London
  • Quick Apply

AI generated summary

  • You must have a graduate degree in STEM field, 3+ years in analytics, experience in dating/social tech or financial services, advanced data modelling skills, strong communication and collaboration abilities, and expertise in data science tools and machine learning.
  • You will analyze product data, develop insights, and provide recommendations to support the long-term strategy. Automate decision-making, educate stakeholders, improve data quality, and empower others with self-serve data products.


  • Preference for a graduate degree in Mathematics, Engineering, Information Sciences, Economics, Finance, or STEM. PhD and Masters welcome.
  • You will have experience in data science, statistical analysis, solving complex analytical problems and modelling data that aims to answer a big picture question regarding the business’ long term strategy and direction.
  • Preference for experience working in similar dating/social/gaming tech product industries or else financial services/high-data-volume industries.
  • You have experience in roadmapping and outlining product strategy that influences senior stakeholders.
  • Preferred experience setting up experimentation, statistical measurement, and data collection in the product domain.
  • Strong experience with data modelling, advanced analytics and data engineering needed to automate insights, reporting and measurement.
  • You keep an eye out on the industry, understanding how the wider dating industry influences our product strategy.
  • You have experience working with complex data infrastructures and have experience partnering and guiding the work of data engineering to help facilitate ingestion, warehousing, and optimisation of databases.
  • 3+ years experience in commercial analytics, being able to elaborate on the business impact you have driven in your previous experience.
  • Strong believer in Bumble Inc.’s brand vision and values
  • Engaging, inspiring and clear communicator.
  • A proven track record of socialising and embedding analytical findings to drive business outcomes, up to exec level.
  • Understands and can demonstrate a data science skillset, machine learning and use advanced analytical tools and visualisations to produce impact in an organisation.
  • Deep commercial understanding, and a proven ability of creating impact through the power of customer led insights.
  • Comfort in operating in ambiguous and complex problem spaces, and helping teams you work with to define the questions that help support the business, and confidence in pushing back and saying no where needed.
  • A love of collaborating with colleagues and stakeholders to arrive at rounded and balanced perspectives in your work, 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.


  • Develop and deliver analytical roadmaps to support long-term product strategy, including executive dashboard reporting, deep-dive analysis, and performance measurement of product changes
  • You will provide actionable insights on product strategy and recommendations to your stakeholders, automating decision-making where applicable, and providing tools and solutions that help enable self-service and scalability.
  • You will act as a trusted thought partner as the analytical authority in your domain. You will likely be dedicated to a set of specific initiatives and projects, where you will be expected to act as a representative of the R&A team, demonstrating our values, capabilities, and competencies.
  • You will develop a deep knowledge on the product domain, becoming the authority on its characteristics, drivers and sub systems. You will proactively educate stakeholder functions to further democratise this understanding.
  • You will contribute to data quality as it relates to the domain, proactively working with Data and Analytics Eng. and other teams to improve data collection and modelling.
  • You will build and manage self-serve data products, a knowledge base of insights, and provide direct support, to empower others to fully understand the value of data in their day-to-day work.
  • You will 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.


What is the required experience for the Data Analyst, Product Strategy role at Bumble Inc.?

Preference is given to candidates with a graduate degree in Mathematics, Engineering, Information Sciences, Economics, Finance, or STEM. Candidates with a PhD or Masters degree are also welcome. Candidates should have experience in data science, statistical analysis, solving complex analytical problems, and modelling data related to long-term business strategy.

What skills are necessary for success in this role?

Candidates should have experience in roadmapping and outlining product strategy, setting up experimentation and statistical measurement, data modelling, advanced analytics, and data engineering. Experience in the dating, social, gaming, or financial services industries is preferred. Candidates should also have strong communication skills, a deep commercial understanding, and proficiency with tools such as python/SQL, Tableau, and machine learning/data science tooling.

What are the key responsibilities of a Data Analyst, Product Strategy at Bumble Inc.?

Responsibilities include developing and delivering analytical roadmaps to support long-term product strategy, providing actionable insights and recommendations to stakeholders, acting as a trusted thought partner, and building self-serve data products. The analyst will also contribute to data quality, educate stakeholders, and create an environment of utilizing data for planning and execution.

How can a candidate demonstrate their fit for this role?

Candidates should demonstrate a strong belief in Bumble Inc.'s brand vision and values, engagement and clear communication skills, a track record of embedding analytical findings to drive business outcomes, and a data science skillset. Candidates should also showcase their commercial understanding and ability to create impact through customer-led insights, as well as their experience in operating in complex problem spaces and collaborating with colleagues and stakeholders.

What is the expected level of experience for applicants to this role?

Applicants should have at least 3+ years of experience in commercial analytics and be able to elaborate on the business impact they have driven in previous roles. Experience in working with complex data infrastructures, partnering with data engineering teams, and leveraging advanced analytics and data modelling to automate insights and reporting is also required.

Our mission is to create a world where all relationships are healthy and equitable, through Kind Connections.

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Mission & Purpose

Bumble is a social networking platform that empowers people to make meaningful connections in dating, friendship, and professional networking. It is designed to challenge outdated gender norms by giving women the initiative to make the first move in dating scenarios. Bumble's ultimate goal is to create a safer, more respectful, and inclusive online environment. They are committed to fostering equality, kindness, and accountability in all interactions, aiming to build a community where everyone can form healthy and empowering relationships.