Data Analyst, Product Strategy (12 month FTC)

Bumble Inc. is seeking a skilled Product Strategy Analyst to collaborate with senior business stakeholders and the Product Strategy Manager in providing data-driven insights to support strategic decision making. This role will focus on strategic planning and insights, statistical analysis, data modelling and visualisation, executive dashboard reporting as well as in-depth product analyses. This is a unique opportunity for an experienced analyst who enjoys the fast paced environment of a growing company, has experience in product analytics and has a passion to contribute to helping the Bumble Inc. mission to foster kind connections.,

• 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.
  
  You would ideally have a background in data science or advanced product analytics at either a dating, social, gaming or other relevant tech company, with proven experience of driving commercial impact through applying analytics to critical product and business problems.

You bring experience of working with complex sources of data and use that knowledge to partner with product, strategy and exec level leaders, naturally connecting product, revenue, and broader customer data sources, taking a holistic approach to find answers. You are able to leverage your data modelling and advanced analytics skills to help senior leadership navigate ambiguity and shape analytical roadmaps, projects and insights. You can translate complex analytical findings and business metrics into clear, concise recommendations for product managers, executives, and other stakeholders.
You understand the high-level business model of the company and the primary drivers and output metrics to efficiently receive a stakeholder request, draft a project/insights brief and proactively ask for additional scope clarity where necessary.
Remaining laser-focused on the "so what" of the findings, and how the insights support business decisions you take an integrated perspective to analytics, considers all the potential drivers to a problem, reviewing existing knowledge and bringing in expertise for advice from other teams.
You enjoy efficiently producing insights that inform decision-making and are passionate about continual improvement, both personally and for the team around you. You always look for feedback to strive for higher quality of deliverables.,
• 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.