Data Analyst

• Analyze existing automations, evaluating their functionality, performance, and opportunities for improvement
• Analyze and understand processes, identifying opportunities for optimization and automation
• Support the development and maintenance of automations using Python and Shell Script
• Perform maintenance, support, and troubleshooting for Linux operating systems
• Develop, analyze, and optimize SQL queries for data extraction, processing, and analysis
• Support the organization, updating, and management of Excel tracking spreadsheets
• Conduct data analyses to identify inconsistencies, opportunities, and process improvements
• Support the documentation of processes, automations, and solutions developed
• Collaborate with different departments and technical teams to monitor and resolve requests
• Continuously pursue technical improvement through training, courses, and staying up to date with new technologies and tools

Data Analyst, Mid-Level

• Capture and analyze operational losses, focusing on root-cause mitigation
• Specify, implement, and manage systems for recording operational losses
• Prepare regulatory reporting on operational losses (CADOC 5050)
• Develop and monitor statistical models and operational risk indicators
• Build and manage dashboards
• Conduct root-cause analyses of operational losses to guide process improvement and risk mitigation initiatives

Senior Operational Risk Analyst – Analytics

• Build and enhance analytical data models and Data Marts to support Business Intelligence, Analytics, and Artificial Intelligence initiatives.
• Develop and optimize data structures across analytical layers, ensuring performance, scalability, and reliability.
• Conduct exploratory and diagnostic analyses using SQL and Python to identify opportunities and trends and generate business insights.
• Develop and maintain management dashboards and reports in Power BI.
• Ensure data quality through validation, testing, and KPI monitoring.
• Map, document, and catalog business rules, KPIs, and data assets.
• Partner with business and technology teams, translating strategic needs into analytical solutions.
• Support the advancement of a data-driven culture by promoting the conscious and efficient use of information.
• Contribute to data governance initiatives, ensuring traceability, standardization, and accessibility of corporate data.
• Influence decision-making through data-driven analyses, metrics, and recommendations.

Senior Data Analyst

• Develop, calibrate, and monitor retention, churn, and renewal forecasting models
• Support strategic planning and decision-making
• Lead the preparation of the Budget and periodic Forecast (FCST) reviews
• Track metrics and targets related to student retention
• Analyze large volumes of data to identify behavioral patterns, improvement opportunities, bottlenecks in the customer journey, and insights to increase retention
• Ensure the quality, consistency, and integrity of data sources
• Perform validations, identify discrepancies, and drive data cleansing initiatives
• Develop and optimize ETL processes, queries, and automations using SQL and Python
• Create dashboards, reports, and executive presentations
• Transform technical and financial data into strategic insights through storytelling for leadership and senior management
• Partner with business teams, supporting strategic decisions through data-driven analyses, forecasts, and recommendations

Mid-Level Data Analyst – Focused on Analytics and Forecasting

• Work as a Mid-Level Data Analyst in the Data Governance and Engineering department.
• Develop and maintain analytical models, Data Marts, and aggregated tables across the Bronze, Silver, and Gold layers of the Databricks ecosystem.
• Translate business rules into queries and data models that support decision-making.
• Conduct exploratory and diagnostic analyses to identify trends, opportunities, and operational deviations.
• Develop and optimize data transformation and manipulation routines using SQL, Python, and PySpark.
• Independently perform data extraction, cross-referencing, and reconciliation activities.
• Ensure the quality, consistency, integrity, and accuracy of data made available to users.
• Identify and support the resolution of inconsistencies between source systems and analytical databases.
• Document business rules, metrics, data dictionaries, and assets in the corporate catalog.
• Support the governance and standardization of corporate metrics.
• Address analytical requests from business areas and participate in requirements gathering for new data solutions.

• Organize, collect, and process large volumes of data using ETL tools.
• Translate clients’ business objectives into information management and business intelligence strategies.
• Maintain data pipelines and ensure secure access to information.
• Create and publish metrics and dashboards based on collected data, ensuring quality and integrity.
• Contribute to data platform modernization initiatives, focusing on Lakehouse architecture, governance, quality, and readiness for analytics and AI consumption.
• Develop dimensional models for use by business teams, dashboards, and reports.
• Work across the entire data lifecycle: ingestion, processing, storage, transformation, consumption, and governance.

Senior Data Analyst II

• Collect and analyze site and patient enrollment actuals and forecasts with Central Planning and Clinical Operations teams
• Develop, maintain, and continuously improve forecasting models used outside of Medidata Payments
• Integrate forecasting data and processes with Medidata Payments forecasts
• Partner with Revenue Recognition teams to align forecasting with audit and financial reporting requirements
• Create accurate, client-ready forecast deliverables according to sponsor contractual requirements
• Analyze forecast performance through plan-versus-actual results and budget variances
• Communicate over-forecast and under-forecast risks to Project Analysts and Global Project Leads
• Support audit activities, change order processes, and study closeout reconciliations
• Prepare final forecasting and reconciliation reports for client delivery and project review

Grants Payments Data Analyst

• Map the key legal processes that impact business results and prioritize them for inclusion in dashboards
• Define the data management framework for priority processes
• Define KPIs that monitor and reflect the status of mapped processes, enabling correction, improvement, or optimization
• Create BI solutions to deliver dashboards
• Ensure the consistency of data and information and their timely issuance
• Structure process monitoring through KPIs in a way that is easy to maintain and update

Junior Legal Operations Analyst – Data Focus

• Transform data into analyses and insights that support business decisions and the evolution of channels
• Build and enhance metrics related to channel adoption, usage, engagement, conversion, and performance
• Map and analyze member journeys, identifying opportunities to improve the experience and increase channel usage
• Connect data from different touchpoints, contributing to an integrated view of the member journey
• Develop dashboards, reports, and data products for operational, tactical, and executive audiences
• Support the definition and evolution of corporate channel metrics, concepts, and indicators
• Ensure the quality, consistency, and reliability of information used to manage channels
• Partner with business, product, member experience, and technology teams
• Support advanced analytics and artificial intelligence initiatives applied to channels

Senior Data Analyst – Preferably for Women

• Build and maintain highly complex BI reports for executive leadership consumption
• Analyze high-volume data, consolidating information from areas such as sales, logistics, and production
• Use data from multiple cloud tables to perform analyses and develop reports
• Develop and implement code for analyses across various company projects
• Prepare and present materials in meetings with commercial leadership
• Collaborate with multiple departments to obtain the information required for analyses and reports
• Demonstrate strong analytical and interpersonal skills

Data Analyst jobs in Brazil

Data Analyst, Mid-Level

Senior Operational Risk Analyst – Analytics

Senior Data Analyst

Mid-Level Data Analyst – Focused on Analytics and Forecasting

Data Analyst, Mid-Level

Senior Data Analyst II

Grants Payments Data Analyst

Junior Legal Operations Analyst – Data Focus

Senior Data Analyst – Preferably for Women

Junior BI Analytics Analyst