Product Data Analyst
DeelAbout the role
Who we are is what we do.
Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform. With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 100+ countries—helping businesses scale smarter, faster, and more compliantly.
Among the largest globally distributed companies in the world, our team of 5,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers.
Why should you be part of our success story?
As the fastest-growing Software as a Service (SaaS) company in history, Deel is transforming how global talent connects with world-class companies – breaking down borders that have traditionally limited both hiring and career opportunities. We're not just building software; we're creating the infrastructure for the future of work, enabling a more diverse and inclusive global economy. In 2024 alone, we paid $11.2 billion to workers in nearly 100 currencies and provided healthcare and benefits to workers in 109 countries—ensuring people get paid and protected, no matter where they are.
Our momentum is reflected in our achievements and customer satisfaction: CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and repeated recognition on Y Combinator’s top companies list – all while maintaining a 4.83 average rating from 15,000 reviews across G2, Trustpilot, Captera, Apple and Google.
Your experience at Deel will be a career accelerator. At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives. With our momentum—backed by a $12 billion valuation and $800 million in Annual Recurring Revenue (ARR) in just over five years—you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work.
The Team
The Product Analytics team, part of the larger Data Team, comprises 25 members spanning 11 countries. We support over 100 product teams and, in 2024, guided the launch of 1,000 product releases.
This role is within the newly created Product Data Hub sub-team, part of the Contracts Data Unit (7 people). The sub-team currently consists of an Analytics Tech Lead and an Analytics Engineer, and is now seeking a new analyst to look after product adoption analytics.
Our mission?
To uncover hidden patterns in product adoption data, optimizing our product offering to clients through better targeting and identifying their needs.
In this role, you will work on cross-department initiatives, collaborating with different product verticals to analyze and interpret data trends. You will be responsible for performing exploratory analytics, client profiling, and identifying product bundles that drive retention and revenue growth. You will also research adoption trends and work closely with the growth team, validating hypotheses and finding areas for improvement.
The Contracts Unit remains pivotal to Data Analytics, impacting revenue, operations, sales, marketing, and customer satisfaction. We prioritize collaboration across data teams and the broader business to build a scalable, consistent analytics structure that supports growth while keeping client satisfaction at the forefront.
Responsibilities
Collaborate closely with Product Managers, Product Operations and Dev teams on different problems to create actionable insights
Monitor product and feature release performance, define baselines, success metrics and provide recommendations for optimisation
Develop/apply extensive domain knowledge in your dedicated product areas in order to proactively derive meaningful recommendations and insights that drive and inform product strategy
Analyze market data, identify customer behavior and trends
Help design and evaluate A/B tests to improve customer journeys
Create and promote effective self-service analytics infrastructure for your product areas
Develop user friendly dashboards and high quality data visualizations that drive actions and support decision making
Explore large and complex datasets to create actionable insights
Build data models in dbt with the support of Analytics Engineers to create the cleanest data structures and KPIs for your product areas
Make intelligent choices for the adoption of new technologies based on your extensive experience
Contribute to the d
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