Client Ops Sr. Analyst, L3

at  Publicis Global Delivery

Company Description
Publicis Global Delivery is the talent powerhouse of Publicis Groupe, the largest global communications group. We make sure to hire, boost and develop the best people worldwide to deliver outstanding work for the most prominent clients within the Groupe.
In LATAM, we are over 1,700 passionate employees that love to push boundaries and drive innovative solutions. If you are a risk-taker and love to develop intrepid ideas, PGD is the place for you.
We Move People, and People Move Us!
Job Description
A motivated professional with expertise in Power BI, Power Automate, and Python to join our dynamic data team. The ideal candidate should be proficient in designing and developing advanced data pipelines, building custom reports and dashboards using Power BI (with a focus on Premium licenses), and automating workflows through Power Automate. The role involves working with complex data models, integrating various data sources, and optimizing data flows for high-performance environments.

QUALIFICATIONS

• Bachelor degree
• English level: Upper Intermediate or above
• 3 years of experience
• Python (must)
• Big data management
• Attention to detail
  Additional Information

• Billing review and financial reports
• Design, develop, and maintain Power BI reports and dashboards with advanced features, including custom visualizations, calculated measures, and KPIs.
• Implement and manage Power BI Gateways to ensure secure, scalable data access across the organization.
• Develop and automate data workflows using Power Automate, enhancing business process efficiency and integration.
• Write and maintain Python basic data pipelines, utilizing libraries such as Pandas, NumPy, and Requests for data manipulation and transformation.
• Build and manage HTTP requests and JSON structures for seamless integration with external APIs and data sources.
• Ensure compliance with best practices and performance optimization when working with Power BI Premium capacities and licensing.
• Collaborate on data pipeline architecture, ensuring scalability, robustness, and efficiency in handling large datasets.
• Leverage SQL for data querying and manipulation as needed to support integration and ETL processes (Nice to have).