Junior Marketing Data Analyst

Role Overview

• In this Junior Marketing Analytics position, you will join the Marketing Data team, which aims to ensure data reliability and drive marketing strategies based on insights.
• You will work in an intensive learning environment, mentored by specialists and participating in projects that directly impact business results.
• Day-to-day responsibilities are organized around four pillars:
• 1. Data Processing and Analysis:
• • Advanced SQL: Write and optimize queries to manipulate large volumes of data;
• • ETL Awareness: Understand and support data Extraction, Transformation, and Load flows, ensuring information moves correctly between CRM, internal databases, and analytics tools;
• • Data Integration: Combine data from digital platforms (GA4/MMP) with transactional data to produce full journey views.
• 1. Digital Analytics and Behavior:
• • User Journey: Analyze user behavior, identify bottlenecks and opportunities to improve conversion;
• • Channel Performance: Monitor and analyze channel performance and efficiency (Paid Media, SEO, and CRM) using metrics such as sessions, users, and leads;
• • Data Quality: Support validation and the health of tagging (GA4/GTM/MMP).
• 1. Storytelling and Visualization:
• • Data Storytelling: Translate data into clear, actionable narratives for stakeholders at different levels, focusing on the "why" behind the data;
• • Strategic Dashboards: Create visualizations in Tableau to support decision-making;
• • Deliver presentations to other squads (business, product, and data) to conduct tests, discuss results, align expectations and timelines, and implement solutions.
• 1. Automation and the Future (AI):
• • Process Automation: Identify manual tasks and propose automations to streamline the marketing team’s daily work;
• • AI Agents: Interest in and active learning of AI Agents and large language models (LLMs).

Requirements

• Education: Bachelor's degree in Marketing, Engineering, Statistics, Technology, or related fields;
• Analytical thinking to break down business problems;
• Advanced SQL: Ability to work autonomously with large databases;
• Analytics experience: Practical knowledge of GA4 (event analysis and explorations);
• Data Viz & Storytelling: Experience creating dashboards and confidence in presentations;
• Data literacy: Understanding of ETL concepts, data warehousing, and database structures;
• Agile mindset and adaptability to fast-paced, dynamic environments;
• Proactivity and results orientation.

Differentials (What sets you apart):

• Knowledge of Google BigQuery;
• Personal projects or case studies involving AI Agents;
• Familiarity with automation and analysis tools (e.g., Python);
• Previous experience with Adjust or AppsFlyer.

Tech Stack

• BigQuery
• ETL
• Python
• SQL
• Tableau

Benefits

• Market-competitive compensation
• Health insurance
• Dental plan
• Private pension plan
• Flexible benefits that adapt to your needs
• Meal allowance
• Financial counseling
• Perks club
• Home office allowance
• Mobility allowance
• Childcare allowance
• Life insurance
• Extended leave policies
• Support for sports, quality of life, and wellness
• Payroll-deductible loans with reduced interest rates