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Product Data Analyst - job 1 of 4

Who we are is what we do.

Deel and our family of growing companies are made up of global teams dedicated to helping businesses hire anyone, anywhere, easily. 

The team comprises over three thousand self-driven individuals spanning over 100 countries, and our unified yet diverse culture keeps us continually learning and innovating the platform and products for customers.

Companies should be able to hire the best talent anywhere in the world, so we are building the best platform to make that a reality. Our market-leading technology, expertise, and global team are crucial to the platform’s success. We deliver the best products and features in our space, enabling millions of jobs worldwide and connecting the global workforce with the best companies and opportunities.

Why should you be part of our success story?

A 30-mile hiring radius should no longer dictate how companies hire because exceptional talent lives everywhere. Deel sees a world without hiring borders and endless talent that pairs perfect candidates with great companies.

We offer global teams all the tools they need to hire, onboard, manage, pay, and scale at full speed. We aim to foster a diverse global economy by building a generational platform that seamlessly connects companies with talent worldwide.

After our successful Series D in 2021, we raised another $50M in 2023, doubling our valuation to $12B. There’s never been a more exciting time to join Deel — the international payroll and compliance market leader.

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 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

  • Provided computer equipment tailored to your role

  • 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 WeWork access where available

DISCLOSURE 

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 Covey Scout for Inbound on the 19th of February, 2025.

For more information about our data protection practices, please visit our Privacy Policy.

You can review the independent bias audit report covering our use of Covey here: https://getcovey.com/nyc-local-law-144.

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.

Unless otherwise agreed, we will communicate with job applicants using Deel-specific emails, which include @deel.com and other acquired company emails like @payspace.com and @paygroup.com. You can view the most up-to-date job listings at Deel by visiting our careers page.

Deel is an equal-opportunity employer and is committed to cultivating a diverse and inclusive workplace that reflects different abilities, backgrounds, beliefs, experiences, identities and perspectives.

Deel will provide accommodation on request throughout the recruitment, selection and assessment process for applicants with disabilities. If you require accommodation, please inform our Talent Acquisition Team at recruiting@deel.com of the nature of the accommodation that you may require, to ensure your equal participation.

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What You Should Know About Product Data Analyst, Deel

Join Deel as a Product Data Analyst and be part of our rapidly growing, dynamic team that spans over 100 countries! At Deel, we're revolutionizing how companies hire, removing borders and connecting exceptional talent with great opportunities. As a Product Data Analyst, you’ll collaborate closely with Product Managers, Product Operations, and Development teams to transform complex data into insightful, actionable recommendations that inform our product strategy. You’ll have the chance to monitor product performance, analyze market trends, and design A/B tests to enhance customer journeys. Your hands-on experience with BI tools and proficiency in SQL will be essential as you create user-friendly dashboards and develop analytics infrastructures that empower our teams to make smarter decisions. Whether you’re building data models or guiding your fellow analysts, your contributions will help shape the future of the platform that millions rely on. If you have a Bachelor’s degree in a related field, over five years of experience in product analytics, and are passionate about leveraging data for impactful results, Deel is the place for you. With flexible remote work options and competitive rewards, this is an opportunity to join us at an exciting time—help us build a world without hiring borders!

Frequently Asked Questions (FAQs) for Product Data Analyst Role at Deel
What are the responsibilities of a Product Data Analyst at Deel?

As a Product Data Analyst at Deel, your primary responsibilities include collaborating with cross-functional teams to generate actionable insights from data, monitoring product performance, designing A/B tests, and forecasting market trends. You will also work on creating effective self-service analytics tools and user-friendly dashboards that support decision-making processes and enhance the overall product strategy.

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What qualifications do I need to apply for the Product Data Analyst position at Deel?

To apply for the Product Data Analyst position at Deel, you should have a Bachelor’s degree in fields such as Computer Science, Mathematics, Statistics, or Economics. Additionally, at least 5 years of experience in a product analytics role is required, along with proficiency in SQL, product analytics tools, and experience with data modeling. Familiarity with BI tools like Looker is highly beneficial.

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What skills are essential for a successful Product Data Analyst at Deel?

Successful Product Data Analysts at Deel possess strong analytical skills, an in-depth understanding of product analytics, and excellent problem-solving abilities. Effective communication and stakeholder management skills are also critical as you'll be bridging between technical insights and strategic product decisions. Expertise in SQL, data visualization tools, and familiarity with platforms like Snowflake or LookML will further enhance your effectiveness.

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What does the onboarding process look like for a Product Data Analyst at Deel?

The onboarding process for a Product Data Analyst at Deel is designed to provide you with the necessary tools and knowledge to succeed. It includes an introduction to the company culture, training on our analytics tools and platforms, and opportunities to shadow senior analysts. You will also gain insights into our current projects, ensuring you are well-equipped to contribute from day one.

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How does Deel support the professional development of Product Data Analysts?

Deel is committed to the professional development of its employees, including Product Data Analysts. We encourage continuous learning through mentorship opportunities, training programs, and access to resources for skill enhancement. You will also have the chance to share your knowledge with peers, fostering an environment of collaboration and growth.

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Common Interview Questions for Product Data Analyst
Can you explain how you've used data to influence product decisions in your previous roles?

In responding to this question, be prepared to share specific examples where data-driven insights prompted changes in product features or strategy. Highlight your analytical process, tools used, and the outcomes achieved.

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What methodologies do you use for A/B testing and how do you determine success metrics?

Discuss your approach to designing and evaluating A/B tests, including how you set baseline metrics. Emphasize your experience in analyzing results to inform product development and optimizations.

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Describe a time when you had to deal with conflicting stakeholder requirements.

Reflect on a specific instance where conflicting opinions arose. Describe how you approached the situation, gathered data to present to stakeholders, and worked toward a compromise that satisfied the needs of multiple parties.

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How do you prioritize your work when managing multiple projects in product analytics?

Articulate your strategies for time management and project prioritization, mentioning any tools or methods you use to track progress and ensure deadlines are met. Provide examples of how you've successfully managed competing deadlines in the past.

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What experience do you have in using SQL for data analysis?

Detail your proficiency in SQL by discussing your experience with writing complex queries, working with large datasets, and deriving actionable insights. Use examples of projects where SQL played a significant role in your analysis.

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Can you give an example of a data visualization you created that had a significant impact?

Share a specific instance where your data visualization led to actionable insights or changes in strategy. Explain your process for determining what data to visualize and how it was received by stakeholders.

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What tools do you consider essential for a Product Data Analyst, and why?

Discuss the analytics and data visualization tools you’ve found most helpful, such as Looker, Mixpanel, or DBT. Explain how these tools enhance your workflow and contribute to effective data analysis.

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How do you stay up-to-date with trends in product analytics?

Describe your methods for keeping current, such as attending webinars, following influential analysts in the field, reading industry publications, or participating in relevant communities. Show your passion for continuous learning.

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How do you approach collaboration with Product Managers and Engineering teams?

Outline your collaborative approach by emphasizing the importance of open communication and understanding the goals of different teams. Share examples of how your collaboration has successfully driven projects forward.

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What key metrics do you think are most important for product success?

Identify key metrics relevant to product success, such as user engagement, retention rates, or conversion metrics. Explain why these metrics are critical and how you would monitor and analyze them in your role.

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Deel is an American payroll and compliance provider founded in 2019 by Alex Bouaziz, Shuo Wang, and Ofer Simon. The company is based in San Francisco, California and has reported having 2,000 employees in January 2023.

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DATE POSTED
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