National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Product Data Analyst

Deel
Greater London
1 week ago
Create job alert

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.

As an Analyst in the Connectivity product vertical, you’ll help drive data-informed decisions by analyzing product performance and uncovering growth opportunities. You’ll work closely with product managers, engineers, and designers to turn insights into action. This role reports to the Connectivity & Deel IT Analytics Manager and supports key strategic initiatives across the product organization

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

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 development and growth of fellow product analysts by proactively sharing knowledge, providing mentoring, etc.

Qualifications

Bachelor Degree in Computer Science, Math, Statistics, Economics or equivalent degree

5+ years’ experience in product analytics team

Hands on experience in at least one modern BI tools (preferably Looker)

Proficiency in SQL and product analytics tools (mixpanel / heap / amplitude)

Solid experience with Data Modelling (DBT)

Excellent multitasking and problem-solving abilities

Effective communication skills and experience dealing with stakeholders of varying seniority

Experience with Snowflake and LookML is a plus

Total Rewards

Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all. 

Some things you’ll enjoy

Stock grant opportunities dependent on your role, employment status and location

Additional perks and benefits based on your employment status and country

The flexibility of remote work, including optional WeWork access

At Deel, we’re an equal-opportunity employer that values diversity and positively encourage applications from suitably qualified and eligible candidates regardless of race, religion, sex, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, pregnancy or maternity or other applicable legally protected characteristics.

We use Covey as part of our hiring and/or promotional processes. As part of the evaluation process, we provide Covey with job requirements and candidate-submitted applications. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. For positions in New York City, our use of Covey complies with NYC Local Law 144.

We began using on March 30, 2025.

Related Jobs

View all jobs

Product Data Analyst

Product Data Analyst

Product Data Analyst

Product Data Analyst

Product Data Analyst

Product & Data Analyst

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.