Incentivar

Customer Success Manager

• Plan and coordinate all activities related to projects, ensuring objectives are met within established timelines and budgets.
• Develop and maintain detailed project schedules, monitoring progress and adjusting as needed.
• Identify, assess and mitigate risks that may affect project execution.
• Collaborate with stakeholders to define project scope, goals and deliverables.
• Ensure that all scope changes are documented and approved.
• Prepare and present project status reports.
• Facilitate project meetings, including kickoff, status and closing meetings.

Customer Success, Mid-level

Data Scientist

• The professional will be responsible for turning data into business intelligence, creating analyses, automations, and visualizations that support decision-making and drive results.
• Will work on developing solutions that integrate predictive models, reports, and dashboards, ensuring quality, efficiency, and continuous improvement of analytical processes.
• Technical skills
• Data Analysis and Modeling: strong command of statistical, predictive, and diagnostic analysis techniques to generate relevant insights and support strategic decisions;
• Programming Languages: proficiency in Python and SQL for data manipulation, processing, and automation;
• Visualization and Storytelling: proficiency in Power BI (and related tools) to communicate results clearly and strategically;
• ETL and Integrations: experience in extracting, transforming, and loading data, ensuring accuracy and consistency of the data sources used;
• Process Innovation and Optimization: proposing improvements and adopting new technologies to increase efficiency and reduce rework;
• AI and Predictive Models: application of machine learning and artificial intelligence techniques focused on generating business value.

Customer Success, Mid-level

Data Scientist, Mid-level