Senior Data Analyst in Finance

Role Overview

The Senior Data Analyst in Finance will be responsible for managing and evolving the main financial and commercial data that supports business management. The position will ensure the quality, consistency, governance, and evolution of data and analytical solutions related to domains such as revenue, products, contracts, opportunities/Salesforce, forecast, and closure.

What You Will Do

The Senior Data Analyst will work with data related to revenue, products, contracts, commercial opportunities/Salesforce, forecast, and closure, connecting different sources to build an integrated view of the business. They will structure and evolve data governance and quality processes, develop and improve validations, reconciliations, and quality controls, and translate Finance and business needs into data solutions.

Why It Might Be a Fit

The ideal candidate will have strong analytical capacity, technical knowledge, and business vision, able to understand complex problems, investigate their causes, and transform them into practical, reliable, and scalable data solutions.

Requirements

• Completed academic education
• Experience in Data Management, Analytics, Business Intelligence, or related areas
• SQL mastery for data extraction, transformation, validation, and analysis
• Knowledge of data modeling and Data Warehouse
• Experience with Databricks and data environments in the cloud, preferably AWS
• Experience with BI and data visualization tools, preferably Power BI
• Ability to work with different sources and large volumes of data, structuring rules, validations, and sustainable solutions
• Strong analytical capacity and investigative profile to identify inconsistencies, understand root causes, and propose solutions
• Ability to connect data and business, understanding the problem and the decision that needs to be supported before building the solution
• Ability to transform data into diagnoses, insights, and recommendations, going beyond the technical construction of information
• Good communication and ability to transition between technical and business audiences
• Autonomy, organization, and sense of responsibility over relevant deliverables

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Retirement plan
• Paid holidays
• Flexible work arrangements

Tagged as: Data Analysis