Mid-Level Data Analyst – Martech, Marketing Data

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Act as the bridge between Marketing, Data, and Technology by converting business requirements into MarTech, Digital Analytics, and Marketing Data solutions.

• Design and manage data pipelines (ETL/ELT) that connect various sources, facilitating the transformation of raw data into analytical models and actionable insights.

• Utilize SQL, Python, dbt, Airflow, and the AWS ecosystem (S3, Glue, Athena, Lambda).

• Assist in integrations and automations using connectors, REST APIs, and SQL across marketing and media platforms as well as analytical environments.

• Implement and improve tracking, measurement, and data activation using GTM, GA4, and/or Adobe Analytics.

• Facilitate source integration and the unification and activation of customer profiles and data within CDPs.

• Leverage Spark to process large data volumes in batch mode, with guidance from more experienced engineering professionals as needed.

• Collaborate with Marketing, Analytics, and Data Engineering teams.

• Document solutions and adhere to engineering best practices, which include clean code, testing when appropriate, and basic monitoring.

⛳️ Requirements

• Practical experience with SQL and Python for data-driven applications.

• Proven experience in developing and maintaining ETLs, ELTs, and data pipelines.

• Familiarity with dbt and practical experience or strong knowledge of orchestration using Apache Airflow.

• Understanding of AWS for data applications (S3, Glue, Athena, and/or Lambda).

• Experience in analytical data modeling (Data Mart, Data Lake, and/or Data Warehouse) at an implementation level.

• Background in MarTech / Digital Analytics: tracking and measurement (GA4 and/or Adobe Analytics), GTM, and marketing data integration/activation.

• Knowledge of CDPs (customer data unification, consent, and activation) and the capability to connect platforms and APIs.

• Familiarity with Agile methodologies.

• Ability to work collaboratively within a team and with some autonomy, aligning marketing needs with technical solutions.

• Experience with Server-Side GTM, Offline Conversions, and Conversion APIs.

• Knowledge of BigQuery / GCP in the context of analytics and marketing data.

• Experience with D360, Insider, and/or leading-market CDPs.

• Familiarity with Spark at scale, EMR, and process monitoring tools (Datadog, CloudWatch).

• Experience with integrations involving media platforms and REST APIs.

• Proficiency in visualization tools (Power BI).

• Understanding of software engineering best practices (documentation, automated testing, clean code).

🏝️ Benefits

• Profit-Sharing Program.

• Food Allowance.

• Meal Allowance.

• Medical Insurance.

• Dental Insurance.

• Gympass.

• Private Pension Plan.

• Work-from-Home Allowance.

• Allya.

• Unlimited access to a diverse range of courses through our Localiza University.

• Internal training and development programs.

• Discounts on vehicle purchases and rentals.