Analytics Data Engineer-REMOTE

Invesp is a conversion rate optimization agency dedicated to helping e-commerce and lead generation businesses increase their conversion rates and revenue through research, experimentation, and analytics. Our clients depend on accurate and reliable data, and this role is central to maintaining that trust. We are seeking a hands-on Analytics Engineer to join our team, responsible for ensuring the integrity and accuracy of our clients’ tracking and data systems. This position involves auditing existing analytics stacks, identifying issues, explaining discrepancies, and implementing effective solutions to restore confidence in the data.

Key Responsibilities:
- Audit and debug GA4 and Google Tag Manager (GTM) implementations, including server-side containers, to identify and fix broken or duplicated tracking.
- Investigate and document discrepancies between platforms such as GA4, Shopify, HubSpot, Triple Whale, Meta, and Google Ads, determining root causes.
- Implement and troubleshoot cross-domain, subdomain, and subdirectory tracking to maintain session and cookie continuity.
- Manage cookie consent setups, including Consent Mode v2 and CMP integrations, through GTM or direct code adjustments.
- Maintain Meta Pixel, Conversions API, Google Ads conversion tracking, and enhanced conversions to ensure accurate data capture.
- Set up and maintain integrations with BigQuery, writing SQL queries to extract insights from GA4 export data.
- Make necessary code changes in JavaScript, data layer implementations, or site templates to support tracking requirements.
- Develop tracking plans and occasionally present these plans to clients, explaining technical details in an accessible manner.

Required Qualifications:
- 3 to 5 years of practical experience in analytics implementation or analytics engineering.
- Strong expertise in GA4 and GTM, including server-side GTM configurations.
- Proficiency in BigQuery SQL, particularly with the GA4 export schema, including nested and repeated fields and the use of UNNEST.
- Solid skills in JavaScript and Python for data-related tasks.
- Hands-on experience with cookie consent implementation and knowledge of privacy regulations such as GDPR and CCPA.
- Experience managing Meta and Google Ads conversion tracking.
- Excellent written English communication skills with the ability to explain complex technical issues to non-technical clients.

Preferred Qualifications and Additional Attributes:
- Familiarity with Shopify and HubSpot data platforms, with experience in Triple Whale considered a plus.
- Experience using ETL or ELT tools like Fivetran, Stitch, or Airbyte, as well as product analytics tools such as Amplitude or Mixpanel.
- A strong passion for troubleshooting and resolving data inconsistencies.
- Ability to work independently, maintain thorough documentation, and collaborate effectively within a globally distributed team.
- Previous experience working in an agency environment or managing multiple client accounts.

Performance Metrics:
Success in this role will be measured by the speed and accuracy of diagnosing and resolving tracking issues, the consistency of data across client platforms after fixes, the quality and clarity of tracking plans and documentation, and the turnaround time for BigQuery analysis requests.

This role offers the opportunity to work with a diverse range of clients and cutting-edge analytics technologies, playing a critical part in driving data-driven growth for businesses. If you thrive on problem-solving and ensuring data accuracy in complex environments, this position at Invesp could be an excellent fit.