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Data Analyst, Product Analytics

  • Job
    Full-time
    Mid Level
  • Product
    Data
  • London
  • Quick Apply

AI generated summary

  • You need a graduate degree in a related field, experience in SQL and python, expertise in product analytics, strong collaboration skills, industry awareness, ability to create data visualizations, and 3+ years experience in driving business impact through analytics.
  • You will analyze product data, conduct experiments, track user behavior, create dashboards, provide insights, and drive data-driven decision making to support product strategy and development.

Requirements

  • Preference for a graduate degree in Mathematics, Engineering, Information Sciences, Economics, Finance, or STEM. PhD and Masters welcome.
  • You will have experience using SQL and python to solve data science, statistical and analytics problems.
  • I prefer experience working in similar dating, social, or gaming tech product industries or in financial services or high-data-volume industries.
  • You have experience working in a highly collaborative cross functional space and translating technical insights for a non-technical audience.
  • You have 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 forced audience.
  • 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 product analytics analytics, being able to elaborate on the business impact you have driven in your previous experience.
  • ABOUT YOU:
  • 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.
  • Understands and can 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, and helping cross functional teams to define the questions that help support product development.
  • 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

Responsibilities

  • Be an analytical thought partner to a cross-functional team of engineers, designers and product managers. This will include providing analytical support across all areas of the product development lifecycle, from ideation and broad product strategy to analytics deep dives and experimentation.
  • You will lead experimentation across an area of the product. You will design and execute multi-step experiments to understand the impact of a feature or product change on user behaviour and business KPIs. You will interpret experiment results and translate them into actionable recommendations for a non-technical audience.
  • You will own event tracking for one area of the app, understanding which events are critical to track user behaviour.
  • You will create self-serve dashboards to ensure stakeholders have access to real-time insights.
  • 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 develop deep knowledge of the product domain, becoming an authority on its characteristics, drivers, and subsystems.
  • You will contribute to data quality related to the domain, proactively working with Data and Analytics Eng. and other teams to improve data collection and modelling.
  • 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.

FAQs

What kind of educational background is preferred for this role?

Preference is given to candidates with a graduate degree in Mathematics, Engineering, Information Sciences, Economics, Finance, or STEM. PhD and Masters degree holders are also welcome.

What kind of experience is required for this role?

Candidates should have 3+ years of experience in product analytics, experience with SQL and python, experience in a collaborative cross-functional environment, and experience setting up experimentation and data collection in the product domain.

What kind of skills and tools should the candidate be proficient in?

The candidate should be proficient in python/SQL, visualisation tools like Looker/Tableau, and machine learning/data science tooling like Streamlit/Count/Kubeflow. They should also have a strong governance and data quality mindset.

What kind of responsibilities will the candidate have in this role?

The candidate will be responsible for providing data-driven insights across all stages of the product development lifecycle, leading experimentation, event tracking, creating self-serve dashboards, providing actionable insights, and contributing to data quality improvement within the domain.

What kind of qualities are you looking for in a candidate?

We are looking for candidates who are strong believers in Bumble Inc.'s brand vision and values, engaging communicators, data science adept, commercially savvy, collaborative, commercially minded, and have a strong governance and data quality mindset.

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

Technology
Industry
501-1000
Employees
2017
Founded Year

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.