Data Analyst

Data Analyst

Location : Brazil

Mode : Remote

Duration : 1 year of contract with possibility of extensionWe are looking for talents in the AdOps Data Sharing team within its Performance Marketing group.

This role will be the cornerstone of AdOps Data Sharing team focusing on how to use 1st and 3rd party platforms to build impactful datasets that meet the business goals.This role will put to use your technical skills working with data technologies with a strong ability to understand the business impact of the data.

AdOps is part of the Marketing Technology Operations Team and is focused on the enablement andmaintenance of Uber's performance marketing data.

The team is highly operational, technical, and analytical, responsible for setting up accurate tracking, spend ingestion and data sharing ETLs across all paid marketing ad network channels and campaigns.Responsibilities

• Support AdOps as a specialist in the paid marketing tech space.
• Analyze marketing event data to propose platform improvements and enhance data management.
• Build data-sharing pipelines and integrations using tools such as SQL, Python, Apache Spark, and Hive.
• Identify and optimize data sources while auditing data quality to improve campaign performance.
• Collaborate with product managers, data scientists, and engineers to address dataset gaps and propose solutions.
• Validate technical implementations and ensure cross-functional alignment.
• Communicate with both technical and non-technical stakeholders to guide requirements and data-sharing solutions.
• Work with vendor partners to ensure alignment with Uber's goals.
• Troubleshoot issues by leveraging strong analytical and problem-solving skills.
• Take ownership of projects and demonstrate results in both collaborative and independent work.Requirements
• 3+ years of experience in performance marketing tech, data analytics, technical solutions, or related roles.
• Bachelor's degree in Engineering, Computer Science, Math, Economics, Statistics, Marketing, or a similar technical discipline.
• Strong quantitative skills and proficiency with SQL, Excel, Python, Hive, Spark, etc.
• Familiarity with ticketing systems such as JIRA or Asana.
• Excellent organizational skills and attention to detail.Preferred Qualifications
• Experience in support or service desk roles.
• Strong communication skills, especially in explaining technical concepts to non-technical partners.
• Basic understanding of app and web tracking data for performance marketing.