Data Analyst

Role Overview

• Identify and document, together with Operations teams, the main processes, systems and data sources (internal and external);
• Model tables and data layers (staging, core, mart) aligned with the CoE standards;
• Develop and maintain ingestion, transformation and load processes using Python, SQL and GCP (e.g., BigQuery, Cloud Storage);
• Orchestrate pipelines with Airflow, ensuring reliability, reprocessing and monitoring;
• Automate system integrations between Operations platforms and the data warehouse/data lake;
• Create and evolve management and operational dashboards in Power BI, focusing on performance, efficiency, cost, quality and SLA metrics;
• Ensure consistency of KPI definitions in collaboration with Operations managers and the Data CoE;
• Implement data quality rules, monitoring completeness, consistency and timeliness of loads;
• Document data sources, data dictionary, indicator calculation logic and integration flows;
• Support the standardization of metrics and the use of data according to CoE guidelines;
• Act as a business partner, understanding Operations pain points and opportunities and translating them into data solutions;
• Perform exploratory and ad-hoc analyses in Python/SQL to answer business questions and validate hypotheses;
• Train key users (Operations managers and analysts) on the use of dashboards and metrics;
• Work in alignment with architects, engineers and data scientists from the CoE;
• Ensure solutions comply with corporate architecture, security and data governance standards;
• Contribute best practices, component reuse and the evolution of the data platform.

Requirements

• Bachelor's degree (completed);
• Advanced SQL and Python experience for ETL/ELT and automations;
• Experience with GCP (BigQuery, Cloud Storage, Airflow/Composer);
• Experience in data modeling and pipeline orchestration;
• Experience with Power BI (Power Query, DAX, dashboards and RLS);
• Clear communication between business and technology;
• Hands-on, analytical and delivery-oriented profile;
• Organized, documentation-focused and collaborative work style;
• Proactive in proposing improvements and data solutions;
• Experience with large volumes of data and multiple sources is desirable;
• Good data engineering practices;
• Experience with AI/LLMs applied to data;
• Desirable knowledge of statistics and a data-driven mindset;
• Experience working close to operational areas is a plus.

Tech Stack

• Airflow
• BigQuery
• Cloud
• ETL
• Google Cloud Platform
• Python
• SQL

Benefits

• High-quality health coverage with Omint: access to a top-tier national medical and dental network through Omint;
• Alelo Pod card for flexible spending on meal and food allowances, accepted at major restaurant and supermarket chains;
• Flexible and sustainable working hours;
• Mobility options: choose the modality that makes sense for you—commuter voucher, fuel allowance or parking;
• Total Pass: an online platform dedicated to promoting quality of life, health and well-being, offering access to gyms, studios and online services with exclusive Matrix discounts, covering you and up to 3 dependents;
• Group life insurance;
• Profit Sharing (PLR), subject to goals and performance;
• Work with a fantastic team in a collaborative environment that aims to build a brighter, more sustainable future.