Incentive.me

• Support the maintenance and evolution of environments and services • Work on monitoring, observability and troubleshooting • Assist with incident response, troubleshooting, disaster recovery and root cause analysis (RCA) • Work with CI/CD pipelines and operational automation • Support the operation of Kubernetes workloads and cloud services • Collaborate with technical teams to improve reliability, availability and operational efficiency • Create and maintain technical documentation for environments, processes and changes • Support security best practices across infrastructure, access controls, pipelines and applications • Participate in root cause analyses (RCA)

• Develop and maintain features in medium- and high-impact systems, ensuring code quality, performance, and security. • Actively participate in technical reviews, propose architectural improvements, and collaborate on evolving internal standards. • Investigate complex issues, implement efficient fixes, and contribute to the continuous automation and optimization of development processes.

• Analyze campaign and incentive program databases to identify patterns, opportunities, deviations, and performance levers. • Transform data into clear, actionable insights, focusing on commercial performance and sales force behavior. • Build and evolve dashboards and visualizations in BI tools (Power BI). • Interpret business indicators and metrics (e.g.: adoption, engagement, performance, conversion, CAV, ROP, etc.) and translate them into practical recommendations. • Create analytical narratives ("data storytelling") for presentations, executive reports, and client meetings. • Support internal teams (client services, community, operations, and strategy) with analyses that guide decisions and prioritization. • Ensure consistency and quality of analyses by validating data and flagging potential inconsistencies. • Structure recurring reports and analyses to monitor campaigns. • Attend client meetings when necessary, helping to explain results and answer questions with analytical confidence. • Document key metrics, assumptions, and interpretations to scale and standardize analyses.

• Issuing invoices and managing receivables • Validating invoices and managing payments • Preparing financial statements and supporting audits • Maintaining up-to-date, organized filing of all financial documentation • Assisting with monthly financial close procedures, ensuring compliance with deadlines and requirements • Assisting in financial planning and providing support for strategic decisions • Assisting with communications and reporting to investors and potential investors

• Define the company's official metrics • Model entities and business rules in the semantic layer • Implement and maintain Cube.js (or a similar tool) • Ensure different consumers use the same definitions • Design and organize transformations in the data warehouse • Ensure data quality, traceability, and consistency • Organize versioning of models and metrics • Work closely with Engineering and Infrastructure to ensure stability • Provide metrics through a semantic API • Prepare datasets for BI • Support integration of the semantic layer into the product • Conduct exploratory analyses • Identify patterns and opportunities • Experiment with AI applications on structured data • Support strategic decisions with quantitative analyses