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Analytics Implementation Engineer

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Join Our Team

Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.

As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.

About the Role

We are seeking an experienced Analytics Implementation Engineer to join our growing team. In this role, you will take ownership of tracking and instrumentation across multiple digital products, ensuring data integrity and visibility from front-end tagging to data pipelines. You will work closely with engineering, marketing, and analytics teams to implement robust and scalable solutions that drive data-informed decision-making.

This role is ideal for someone who loves working at the intersection of engineering and analytics, with a strong understanding of event tracking, data architecture, and digital measurement strategies.

Key Responsibilities

Implement and maintain event-based tracking using tools like Google Tag Manager, RudderStack, or similar platforms.
Use JavaScript and browser debugging tools (e.g., Chrome DevTools) to validate tags and troubleshoot issues.
Collaborate with developers, marketers, and analysts to define and execute data collection strategies that are aligned with business needs.
Build and maintain tracking documentation and implementation guides for cross-team visibility.
Monitor and troubleshoot data accuracy issues, ensuring clean and reliable analytics pipelines.
Support integration between tagging systems and data warehousing solutions such as Snowflake.
Optimize data flow across tracking systems, pipelines, and BI tools.

Must-Have:

4+ years of experience in analytics implementation, digital analytics engineering, or a related technical field.
Strong JavaScript skills and experience with browser tools like Chrome DevTools for debugging and tag validation.
Hands-on experience with GTM, RudderStack, or other tagging/tracking platforms.
Experience with event-based tracking, data instrumentation, and analytics QA processes.
Familiarity with data warehousing tools (e.g., Snowflake) and building or supporting data pipelines.
Ability to work collaboratively with cross-functional teams, including product, engineering, and marketing.

Nice to Have:

Experience with CDPs (Customer Data Platforms) like Segment, mParticle, or similar.
Understanding of GA4, BigQuery, or SQL for data validation.
Familiarity with privacy compliance and consent management tools (e.g., OneTrust, Cookiebot).
Basic understanding of cloud infrastructure (AWS, GCP).

Benefits & Perks:

Home office;

Flexible Hours

Competitive compensation based on experience;

Career plans to allow for extensive growth in the company;

International Projects;

Oowlish English Program (Technical and Conversational);

Oowlish Fitness with Total Pass;

Connecting You (Internet allowance);

Anniversary bonus;

Wedding gift;

Pet adoption incentive;

New baby Oowl bonus;

Back to School bonus;

Streaming Subscription;

PTO Bonus;

Games and Competitions;

Enjoy your national Holidays.

You can also apply here:

Website: https://www.oowlish.com/work-with-us/

LinkedIn: https://www.linkedin.com/company/oowlish/jobs/

Instagram: https://www.instagram.com/oowlishtechnology/

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Average salary estimate

$70000 / YEARLY (est.)

min

max

$60000K

$80000K

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What You Should Know About Analytics Implementation Engineer, Oowlish Technology

Join Our Team at Oowlish, a leading and rapidly expanding software development company in Latin America, as an Analytics Implementation Engineer! If you're passionate about technology and have a knack for utilizing data to inform decision-making, this is an amazing opportunity for you. In our friendly and collaborative environment in São Paulo, Brazil, you'll work with premier clients from the United States and Europe, making a significant international impact. As an integral part of our team, you will take charge of tracking and instrumentation across various digital products, ensuring that our data is both accurate and insightful. Your expertise in tools like Google Tag Manager or RudderStack will be essential as you implement robust tracking strategies. Alongside a vibrant team of engineers, marketers, and analysts, you'll help us understand our data at a deeper level, contributing to successful digital solutions. We pride ourselves on offering a nurturing workplace culture that promotes professional growth and flexibility, including remote work options to suit your lifestyle. If you’re excited to work at the intersection of engineering and analytics, and love the idea of diving into data architecture while collaborating with diverse teams, we invite you to bring your skills to Oowlish. This is more than just a job; it’s a chance to grow, learn, and innovate with us!

Frequently Asked Questions (FAQs) for Analytics Implementation Engineer Role at Oowlish Technology

What are the responsibilities of an Analytics Implementation Engineer at Oowlish?

The Analytics Implementation Engineer at Oowlish is responsible for implementing and maintaining event-based tracking across multiple digital products. This role involves collaborating closely with engineering, marketing, and analytics teams to develop data collection strategies, troubleshoot data accuracy issues, and ensure a clean and reliable analytics pipeline. By leveraging tools like Google Tag Manager, you will ensure data integrity from front-end tagging to data processing.