Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Senior Product Data Analyst - Identity Verification image - Rise Careers
Job details

Senior Product Data Analyst - Identity Verification

Company Description

Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, Hut Group, Sony Electronics, Homebase, Henkel, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.

We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow.

Job Description

As a Senior Product Data Analyst, you'll work as part of a cross-functional team alongside product managers, designers, and software and analytics engineers, using data and your expertise to influence and drive the strategy of our products. You'll help define how we measure the success of our products, collaborate with engineers on how we collect data, design and help build reports/dashboards, and run analyses to find product improvement opportunities. You'll be a co-owner of a product, driving it to success in partnership with other cross-functional team members.

You will be joining the Identity Verification team, responsible to maintain and continuously improve a world-class online identity verification technology, based on real-time video recognition. We're a new but highly visible function within Checkout.com, so this is an exciting opportunity to drive a positive impact.

You'll also be part of the broader data function, a team of Data Engineers, Analytics Engineers, Data Scientists, and Data Product Managers.

How you’ll make an impact:

  • Be responsible for a product domain and its metrics. You'll be accountable for defining, measuring, and presenting metrics

  • Contribute to product roadmaps through data-based recommendations and continuously define high-impact areas for improvement

  • Supporting product discovery, research, and experimentation

  • Working closely with Data Engineers to make sure we collect and model the right data to produce relevant business insights

  • Design and implement reusable and scalable data models for our data warehouse using dbt and Snowflake

  • Design and implement Looker structures (explores, views, etc) which will enable users across the organization to self-serve analytics

  • Foster data culture across products and technology by actively sharing insights and ideas and building positive relationships with colleagues

  • Build experiments and analysis frameworks to quantify the ROI of product development.

  • Drive by example your team and broader data community to apply best practices in analytics from data collection to analysis.

 

Qualifications

  • Proven delivery experience as a Data Analyst or statistical Data Scientist
  • Strong communicator, you're able to explain complex technical topics to non-technical team members

  • Experience conducting experiments, building measurement frameworks, and validating the results with relevant quantitative methods

  • Strong analytical mind, proven experience in converting ambiguous problems into structured and data-informed solutions

  • Curiosity and attention to detail: you like to explore and understand the trends and investigate unusual patterns

  • Proficiency in SQL for data interrogation and data transformation (ideally experience with Looker, Snowflake and dbt)

  • Knowledge of applied statistics (e.g., hypothesis testing, regression)

 

Additional Information

Apply without meeting all requirements statement 

If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values.

Hybrid Working Model: All of our offices globally are onsite 3 times per week (Tuesday, Wednesday, and Thursday). We’ve worked towards enabling teams to work collaboratively in the same space, while also being able to partner with colleagues globally. During your days at the office, we offer amazing snacks, breakfast, and lunch options in all of our locations.

We believe in equal opportunities

We work as one team. Wherever you come from. However you identify. And whichever payment method you use. 

Our clients come from all over the world — and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.

When you join our team, we’ll empower you to unlock your potential so you can do your best work. We’d love to hear how you think you could make a difference here with us. 

We want to set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. We’ll be happy to support you.

Take a peek inside life at Checkout.com via

Apply without meeting all requirements statement 

If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values.

We believe in equal opportunities

We work as one team. Wherever you come from. However you identify. And whichever payment method you use. 

Our clients come from all over the world — and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.

When you join our team, we’ll empower you to unlock your potential so you can do your best work. We’d love to hear how you think you could make a difference here with us. 

We want to set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. We’ll be happy to support you.

Take a peek inside life at Checkout.com via

Average salary estimate

$80000 / YEARLY (est.)
min
max
$70000K
$90000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Product Data Analyst - Identity Verification, Checkout.com

Are you ready to join a dynamic team at Checkout.com as a Senior Product Data Analyst focused on Identity Verification in the beautiful city of Paris? At Checkout.com, we're on a mission to empower businesses and their communities in the digital economy, and your expertise will play a pivotal role in shaping that journey. As a Senior Product Data Analyst, you'll collaborate with an incredibly talented cross-functional team, including product managers, designers, and software engineers. Together, you'll influence the strategy of our innovative products using data insights. This isn't just about crunching numbers; you’ll define metrics for product success, design impactful dashboards, and run in-depth analyses to uncover improvement opportunities. You'll also co-own a product domain, driving its success in collaboration with your team. In the rapidly evolving Identity Verification space, where we focus on world-class online identity verification technology, your input will truly make a difference. This is a unique opportunity to contribute to both our innovative product lineup and a supportive data community that fosters professional growth. If you're passionate about leveraging data to optimize product offerings and eager to work within a diverse, collaborative environment, then Checkout.com could be the perfect place for you to thrive. Join us and help us create the digital economy of tomorrow!

Frequently Asked Questions (FAQs) for Senior Product Data Analyst - Identity Verification Role at Checkout.com
What does a Senior Product Data Analyst at Checkout.com do?

As a Senior Product Data Analyst at Checkout.com, you will work in collaboration with various teams to shape product strategy through data insights. Your role will involve defining key performance metrics, designing reports and dashboards, and contributing to product roadmaps driven by data analysis.

Join Rise to see the full answer
What qualifications are needed for a Senior Product Data Analyst role at Checkout.com?

To qualify for the Senior Product Data Analyst position at Checkout.com, candidates typically need proven experience in data analysis or statistics, strong SQL skills, and a deep understanding of metrics and analytics. You will also require excellent communication skills to convey complex concepts to non-technical team members.

Join Rise to see the full answer
How does a Senior Product Data Analyst impact product development at Checkout.com?

A Senior Product Data Analyst significantly influences product development at Checkout.com by providing data-driven insights that inform product improvements and strategic direction. You will help identify areas for optimization, create measurement frameworks, and ultimately enhance the user experience.

Join Rise to see the full answer
What technologies should a Senior Product Data Analyst be familiar with at Checkout.com?

The ideal Senior Product Data Analyst at Checkout.com should be proficient in SQL for data querying and transformations, and familiar with tools like Looker, Snowflake, and dbt for data visualization and modeling. A solid understanding of applied statistics is also essential to validate experimental results.

Join Rise to see the full answer
What is the work environment like for a Senior Product Data Analyst at Checkout.com?

At Checkout.com, the work environment is collaborative and inclusive. You’ll have the opportunity to work closely with various teams and benefit from a hybrid working model, allowing for a balance between in-office collaboration and remote flexibility.

Join Rise to see the full answer
How can a Senior Product Data Analyst foster a data culture within Checkout.com?

As a Senior Product Data Analyst at Checkout.com, you can foster a data culture by actively sharing insights, promoting best practices in data collection and analysis, and building relationships across different teams to ensure data-informed decision-making becomes a standard practice.

Join Rise to see the full answer
Are there opportunities for career growth as a Senior Product Data Analyst at Checkout.com?

Yes, Checkout.com encourages career growth for a Senior Product Data Analyst. You'll be part of a thriving data community with opportunities to learn, share, and lead initiatives that can significantly impact the company’s product landscape.

Join Rise to see the full answer
Common Interview Questions for Senior Product Data Analyst - Identity Verification
Can you describe your experience as a Data Analyst and how it relates to the role at Checkout.com?

When answering this question, focus on your previous roles, highlighting specific projects where you successfully utilized data to drive decisions. Discuss the tools you used and the impact you had, ensuring to relate it back to Checkout.com's product goals.

Join Rise to see the full answer
How would you define key performance metrics for a product?

Discuss your approach to defining KPIs, emphasizing the importance of aligning them with business objectives and customer needs. Provide examples of metrics you've defined previously and how they helped measure product success.

Join Rise to see the full answer
What experience do you have with SQL and data visualization tools?

Detail your proficiency in SQL with examples of complex queries you have written. Also, mention your experience with data visualization tools like Looker—how you used them to present data in meaningful ways to stakeholders.

Join Rise to see the full answer
How do you identify areas for product improvement using data?

Explain your analytical process, from data collection to insight generation. Include examples where your insights directly influenced product modifications or enhancements based on user behavior or feedback.

Join Rise to see the full answer
Can you give an example of a successful data-driven project you led?

Share a concise story about a project where you employed specific data analysis techniques to achieve a clear outcome. Focus on the problem, your method of investigation, and the results achieved, linking back to how it reflects your fit for Checkout.com.

Join Rise to see the full answer
How comfortable are you with statistical concepts and their application in product analysis?

Be prepared to share your understanding of key statistical concepts like hypothesis testing and regression. Provide examples of how you've applied these methods to validate product features or changes.

Join Rise to see the full answer
What role do you think experimentation plays in product development?

Discuss the importance of experimentation in guiding product decisions. Cite specific examples of experiments you designed, how you measured their success, and what insights were gained that led to impactful product changes.

Join Rise to see the full answer
How would you ensure clear communication of complex data insights to a non-technical audience?

Highlight your strategies for simplifying complex data into understandable formats. Discuss your experience in creating clear visuals or narratives that effectively convey data insights to diverse audiences.

Join Rise to see the full answer
How do you stay updated with the latest trends in data analysis and fintech?

Mention various ways you keep yourself informed, such as attending webinars, participating in relevant forums, or reading industry publications. Emphasize your commitment to continuous learning and professional development.

Join Rise to see the full answer
What approach would you take to collaborate with engineers and product managers?

Illustrate your teamwork philosophy by explaining how you would work alongside engineers to ensure appropriate data collection and communication of insights with product managers to inform roadmap decisions.

Join Rise to see the full answer
Similar Jobs
Checkout.com Remote London, United Kingdom
Posted 8 days ago
Photo of the Rise User
Conexiom Remote No location specified
Posted 12 days ago
Photo of the Rise User
AECOM Remote Dublin, REGUS HOUSE, Ireland
Posted 3 days ago
Photo of the Rise User
Anduril Industries Hybrid Costa Mesa, California, United States
Posted 11 days ago
Posted 5 days ago
Photo of the Rise User
Publicis Groupe Remote Cl. 93 Bis, Bogotá, Colombia
Posted 3 days ago
Photo of the Rise User
Posted 3 days ago
MATCH
VIEW MATCH
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
No info
LOCATION
No info
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
November 26, 2024

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!