Data Analyst, Product Strategy (12 month FTC)

Key Skills

Data Analytics, Data science techniques, Data Visualization, Looker, Product Analytics, Python Programming, SQL, Tableau

Job Description

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. 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.

REQUIRED EXPERIENCE & SKILLS

• 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.