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MarTech Analytics Engineer

Building the Future of Crypto 

Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.

What makes us different?

Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.

Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here.

As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures.

Become a Krakenite and build the future of crypto!

Proof of work

The team

We’re looking for a technically savvy and detail-oriented team member to help manage, troubleshoot, and optimize our MarTech stack. This person will be responsible for investigating data discrepancies that arise due to the intricacies of specific vendors’ configurations, attribution methodologies, fraud, or even bugs in our own applications. They will work across platforms like AppsFlyer, Google Analytics, Segment, Mixpanel, and our internal data systems to diagnose and resolve inconsistencies.

Additionally, this role involves debugging discrepancies in ad platform reporting (e.g., Meta, Google Ads, TikTok, and other paid media channels). This often requires working closely with our ad platform representatives to understand data mismatches, troubleshoot tracking issues, and ensure accurate attribution.

Beyond troubleshooting, this person will also audit and refine our event data—cleaning up outdated events, standardizing naming conventions and properties, implementing monitoring, and optimizing event volume to reduce costs. The ideal candidate has experience with marketing analytics, tracking methodologies, and integration troubleshooting across ad tech, analytics, and paid media platforms. Strong problem-solving skills, attention to detail, and the ability to collaborate with vendor technical support teams, ad platform reps, and internal engineers are essential.

The opportunity

  • Manage, troubleshoot, and optimize our MarTech stack, ensuring accurate data tracking and reporting

  • Investigate and resolve data discrepancies across analytics platforms (AppsFlyer, Google Analytics, Segment, Mixpanel) and internal data systems

  • Debug inconsistencies in ad platform reporting (Meta, Google Ads, TikTok, and other paid media channels) by collaborating with ad platform representatives and internal stakeholders

  • Diagnose tracking issues related to attribution methodologies, fraud detection, and platform-specific configurations

  • Audit, clean up, and standardize event tracking data, implementing best practices for event naming conventions, data structure, and monitoring

  • Optimize event volume to reduce costs while maintaining data integrity and accuracy

  • Work closely with engineering, marketing, and data teams to refine data pipelines and troubleshoot integrations

  • Ensure smooth data flow between MarTech, analytics, and AdTech platforms, implementing fixes and improvements where needed

  • Stay up to date with industry best practices in tracking methodologies, ad platform attribution models, and privacy regulations (GDPR, CCPA, etc.)

Skills you should HODL

  • 5+ years of experience working with MarTech, AdTech, or analytics platforms

  • Strong understanding of web-based event tracking

  • Hands-on experience with tools such as Google Analytics, Segment, Mixpanel, AppsFlyer, and CDPs

  • Experience troubleshooting ad platform tracking and aggregation-based attribution (like SKAN and MMP)

  • Familiarity with web and mobile attribution methodologies

  • Ability to work with engineering and marketing teams to debug tracking implementations and ensure accurate data collection

  • Strong analytical and problem-solving skills with a keen attention to detail

  • Excellent communication skills to collaborate with vendor technical support, ad platform reps, and internal teams

#LI-Remote #LI-DA1 #USCANBR

This job is accepting ongoing applications and there is no application deadline.

Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.

We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto!

As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. 

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What You Should Know About MarTech Analytics Engineer, Kraken

Join Kraken as a MarTech Analytics Engineer and become part of an innovative team dedicated to reshaping the financial landscape through the power of crypto and blockchain technology. At Kraken, we're not just about numbers; we aim to accelerate global adoption of digital assets, allowing everyone to achieve financial freedom and inclusion. In this fully remote role, you'll dive deep into managing, troubleshooting, and optimizing our MarTech stack. Your day-to-day will be invigorating—troubleshooting data discrepancies across platforms like Google Analytics and Mixpanel, and collaborating with ad platform representatives to debug inconsistencies in reporting. As a detail-oriented professional, you’ll audit our event data, ensuring it's clean and standardized, all while implementing tracking best practices. With a strong focus on accuracy, you will help refine our data pipelines and maintain smooth data flow between our analytics and AdTech platforms. Here, you’ll find yourself working in an environment filled with crypto experts, navigated by a shared commitment to security and education. If you're passionate about enhancing marketing analytics and have a knack for problem-solving within the tech landscape, we'd love to see your expertise shine at Kraken! Let’s build the future of crypto together.

Frequently Asked Questions (FAQs) for MarTech Analytics Engineer Role at Kraken
What are the key responsibilities of a MarTech Analytics Engineer at Kraken?

As a MarTech Analytics Engineer at Kraken, your responsibilities include managing, troubleshooting, and optimizing our MarTech stack. This involves investigating data discrepancies across platforms like Google Analytics and AppsFlyer, debugging ad platform inconsistencies, and auditing event tracking data to implement best practices for standardization and monitoring.

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What qualifications do I need to work as a MarTech Analytics Engineer at Kraken?

To qualify for the MarTech Analytics Engineer position at Kraken, you should have at least 5 years of experience working with MarTech, AdTech, or analytics platforms. A strong understanding of web-based event tracking, hands-on experience with tools like Segment and Mixpanel, as well as troubleshooting abilities with attribution models are essential.

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How does Kraken support its MarTech Analytics Engineers?

At Kraken, MarTech Analytics Engineers receive robust support from a diverse team of professionals. You'll work closely with engineering, marketing, and data teams to ensure smooth operations and data accuracy. Kraken’s culture promotes collaboration, enabling you to easily interact with vendor technical support and internal teams.

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What characteristics make a successful MarTech Analytics Engineer at Kraken?

Successful MarTech Analytics Engineers at Kraken are detail-oriented, strong analytical thinkers with excellent problem-solving skills. Your ability to communicate effectively with diverse teams and understand both technical and marketing perspectives will be vital in ensuring accurate data collection and optimization.

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Is the MarTech Analytics Engineer position at Kraken fully remote?

Yes, the MarTech Analytics Engineer position at Kraken is fully remote. Krakenites work from over 70 countries, embracing a flexible work culture that allows collaboration with global teams while maintaining personal work-life balance.

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Common Interview Questions for MarTech Analytics Engineer
Can you explain your experience with analytics platforms like Google Analytics and Mixpanel?

When answering this question, mention specific projects where you utilized Google Analytics or Mixpanel. Discuss the metrics you tracked, insights derived from the data, and how you used these analytics to inform marketing strategies or troubleshoot issues.

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How do you approach troubleshooting data discrepancies?

Explain your systematic approach to identifying the sources of discrepancies, such as reviewing attribution methodologies and vendor configurations. Provide an example of a situation where your troubleshooting skills effectively resolved an issue.

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What best practices do you follow for event tracking and data integrity?

Discuss the importance of establishing clear naming conventions and data standards. You might also mention balancing data volume optimizations with maintaining accuracy as part of your best practices for tracking events.

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Describe a challenge you faced while integrating marketing tech stacks. How did you overcome it?

Use the STAR method to articulate a specific challenge and your role in overcoming it. Focus on how collaboration with cross-functional teams or leveraging technical skills led to a positive outcome.

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How do you stay updated on industry trends in MarTech and digital analytics?

Discuss sources where you regularly seek information, such as industry blogs, webinars, or communities. Mentioning specific resources that cover MarTech trends will show your commitment to continuous learning.

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What techniques do you use for optimizing event volume while maintaining data accuracy?

Share specific strategies like auditing events to remove outdated ones, utilizing sample datasets, or refining data collection to ensure costs are kept low while not compromising on data quality.

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Can you provide an example of how you have debugged inconsistencies in ad platform reporting?

Detail a specific experience where you identified and resolved reporting inconsistencies. Talk about the tools used and the collaboration efforts with ad platform representatives to highlight your problem-solving abilities.

Join Rise to see the full answer
How do you ensure compliance with privacy regulations while managing data?

Discuss your understanding of GDPR and CCPA, as well as the steps you take to ensure that all data collection practices meet compliance requirements. This could include references to anonymization techniques or user consent protocols.

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Describe your experience with attribution methodologies.

Share your familiarity with various attribution models, including multi-touch or last-click methods, and provide insights into how you’ve applied these methodologies to optimize marketing efforts at previous positions.

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What role does communication play in your day-to-day work as a MarTech Analytics Engineer?

Emphasize the importance of clear communication in collaborating across teams. Discuss how you convey technical details to non-technical teammates and the collaborative efforts required to troubleshoot issues effectively.

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Full-time, remote
DATE POSTED
April 14, 2025

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