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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

Please submit applications in English.

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

$100000 / YEARLY (est.)
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$80000K
$120000K

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

As a Senior Product Data Analyst at Checkout.com, based in the vibrant city of Paris, France, you'll have the unique opportunity to shape the future of identity verification technology. Here, we’re not just another fintech; our mission is to empower businesses to thrive in the digital economy. You'll work closely with cross-functional teams, including product managers, designers, and engineers, to dive deep into data and help drive strategic decisions around our products. Your expertise will be essential in defining metrics, designing insightful reports, and uncovering product enhancement opportunities through data-driven analysis. You'll also be a vital part of the Identity Verification team, where your contributions will ensure we maintain our world-class standards in online verification technology. Your skills in SQL and knowledge of applied statistics will come into play as you tackle complex problems, develop reusable data models, and foster a data-driven culture within the organization. The role is perfect for someone passionate about using data to influence product development and who enjoys collaboration across diverse teams to create impactful solutions. At Checkout.com, we pride ourselves on our dynamic and inclusive environment, where every employee is empowered to reach their potential and help build the digital economy of tomorrow. Join us, and let’s create something amazing together!

Frequently Asked Questions (FAQs) for Senior Product Data Analyst - Identity Verification Role at Checkout.com
What are the main responsibilities of a Senior Product Data Analyst at Checkout.com?

As a Senior Product Data Analyst at Checkout.com, your main responsibilities include defining success metrics for products, collaborating on data collection with engineers, running insightful analyses, and contributing to product roadmaps with data-based recommendations. You'll also design and implement data models and reporting frameworks, ensuring stakeholders can derive insights effortlessly.

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What qualifications do I need to apply for the Senior Product Data Analyst position at Checkout.com?

To apply for the Senior Product Data Analyst position at Checkout.com, you should have proven experience as a Data Analyst or statistical Data Scientist. Strong communication skills are crucial, as you will explain complex data concepts to non-technical stakeholders. Proficiency in SQL and a grasp of applied statistics are also essential.

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How does the Senior Product Data Analyst role contribute to product success at Checkout.com?

The Senior Product Data Analyst plays a pivotal role in product success at Checkout.com by providing actionable insights based on data analysis. By defining and tracking metrics related to product performance and driving product improvements through data-backed recommendations, you ensure the relevance and efficiency of our identity verification technology.

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What tools and technologies should I be familiar with for the Senior Product Data Analyst position at Checkout.com?

Familiarity with tools such as SQL for data interrogation, dbt for data modeling, and Snowflake for data warehousing is essential for the Senior Product Data Analyst position at Checkout.com. Understanding Looker for analytics and reporting will also be beneficial as you create self-service analytics for cross-functional teams.

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What is the importance of a data-driven culture at Checkout.com for a Senior Product Data Analyst?

A data-driven culture at Checkout.com is crucial for a Senior Product Data Analyst as it fosters collaboration and innovation. By actively sharing insights and building relationships, you help cultivate an environment that values data in decision-making processes, ultimately leading to product improvements and enhanced user experiences.

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Common Interview Questions for Senior Product Data Analyst - Identity Verification
How do you approach defining success metrics for a product?

When defining success metrics for a product, I start by understanding the product’s objectives and the key outcomes it aims to achieve. I collaborate with stakeholders to identify meaningful KPIs that reflect these goals and ensure they can be measured effectively through existing data sources. This aligns everyone around a common vision for success.

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Can you provide an example of a complex data analysis project you completed?

Certainly! In a previous role, I analyzed user engagement data for a newly launched feature. I utilized SQL to extract data, applied statistical methods to validate hypotheses, and created visual representations of findings. The insights helped identify patterns that led to a 20% increase in feature adoption through targeted improvements.

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What statistical methods do you find most useful in your current role?

In my current role, hypothesis testing and regression analysis are incredibly useful. Hypothesis testing allows me to validate assumptions about user behavior, while regression analysis helps identify relationships between variables, driving better product decisions based on quantifiable data.

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How do you ensure clarity when communicating technical information to non-technical stakeholders?

To ensure clarity when communicating technical information, I focus on using simple language and relatable examples. I also leverage visuals like charts and graphs to present data succinctly. Engaging with stakeholders and encouraging questions helps facilitate understanding and aligns everyone on the insights shared.

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What strategies do you use to foster a data-driven culture in your team?

To foster a data-driven culture, I encourage open discussions about insights, promote data literacy through workshops, and celebrate data-driven successes. I also share best practices and provide resources for team members to explore and engage with data confidently, helping them appreciate its value.

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How do you stay updated on industry trends and best practices in data analysis?

I stay updated by participating in webinars, following industry leaders, and reading relevant publications. Additionally, I engage with online communities and attend conferences to learn about emerging technologies and best practices in data analysis to apply them in my work.

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Describe your experience with A/B testing in product development.

In product development, I’ve frequently utilized A/B testing to determine the effectiveness of new features or changes. By segmenting users and systematically evaluating performance metrics, I analyze results to identify statistically significant improvements, informing decisions on product iterations.

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What role do you think data visualization plays in data analysis?

Data visualization plays a critical role in data analysis by transforming complex data sets into accessible insights. Effective visualization helps stakeholders quickly grasp key trends and patterns, enabling informed decision-making and fostering collaborative discussions about data-driven strategies.

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How do you handle ambiguity in data or unclear requirements?

When faced with ambiguity in data or unclear requirements, I take a systematic approach. I engage the relevant stakeholders to clarify objectives, conduct exploratory data analysis to identify insights, and iteratively develop hypotheses. This way, I can address uncertainty while keeping the team aligned on our goals.

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What do you believe makes a successful data analyst at Checkout.com?

A successful data analyst at Checkout.com must possess strong analytical skills, be a collaborative team player, and effectively communicate insights. Additionally, a deep curiosity about data and a commitment to fostering a data-driven culture drive impactful contributions, ultimately enhancing product performance and user satisfaction.

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Full-time, hybrid
DATE POSTED
December 11, 2024

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