Marketing Data Analytics Engineer

Job Title: Senior Analytics Engineer – Marketing Data

Duration: 6–12 months C2H

Location: Fully Remote

Work Schedule: Occasional stakeholder meetings after 5:00 PM EST may be required, but this is infrequent.

IV Process :

1. First Round – Manager
2. Second Round – Team
3. Potential Third Round – Director

Reason for Position

New position to support the Customer Data Platform (CDP) migration.

Key Role Focus Areas

• The role is primarily focused on data preparation and data quality upstream of the CDP.
• The candidate needs to develop a strong working understanding of the data, what needs to feed the CDP, and the requirements and use cases that the data needs to support.
• The candidate must have the technical judgment to determine whether the available data can support the requested business use cases.

Top Requirements (Must-Haves)

• Approximately five or more years of relevant professional experience in analytics engineering, data engineering, marketing data, or a closely related role.
• Professional, hands-on experience working with Google Analytics data in a business or production environment. Coursework, certifications, or self-directed learning without applied work experience are not sufficient.
• Professional experience supporting data in a retail or ecommerce environment.
• Advanced SQL skills and hands-on experience designing fit-for-purpose data models, transformations, and materializations in Snowflake.
• Working proficiency in Python, including the ability to read, evaluate, troubleshoot, and improve code written by others.
• Experience reviewing API documentation and mapping API objects, endpoints, fields, and identifiers to business requirements.
• Experience with Git and version-controlled development practices, including code review, testing, and CI/CD.
• Demonstrated ability to elicit requirements from stakeholders, bring structure to ambiguous or nonlinear discussions, and translate business needs into precise, actionable technical work.
• Strong understanding of data validation across multiple stages of a data pipeline.
• Exceptional written and verbal communication skills in English.