Data Analyst at Abi Global Health contributing to the AI Lab. Analyzing data to support business objectives across multiple departments.
About the role
- Supporting daily operations and data analysis for a new insurance vertical at Compass UOL. Engage with operational partners to improve service delivery and performance metrics.
Responsibilities
- Support the operation and daily monitoring of a new insurance vertical, ensuring execution, operational control, data analysis, and support for project governance;
- Support the operation by monitoring activations, SLAs, and service status;
- Interface with operational partners (e.g., tow providers), monitoring sales, activations, service, failures, and deviations;
- Support incident and exception management (delays, cancellations, complaints);
- Ensure updates to operational information and internal workflows;
- Update and monitor KPI dashboards (SLA, NPS, conversion, costs);
- Consolidate operational and commercial data for weekly and biweekly reports;
- Support simple performance analyses (e.g., landing page conversion, call volume, average ticket);
- Support operational tests and MVP validations;
- Support the organization of project rituals (committees, meetings, minutes, follow-ups);
- Monitor roadmap deliveries and support deadline tracking;
- Organize project documentation (processes, flows, lessons learned);
- Assist in the preparation of materials;
Requirements
- Degree in progress or completed in Business Administration, Engineering, Economics, Systems, Marketing, or related fields;
- Intermediate knowledge of Excel;
- Basic knowledge of data analysis and digital metrics (desirable);
- Knowledge of SQL;
- Knowledge of Power BI;
- Knowledge of Databricks;
- Interest in working with data, processes, and operations;
- Ease in working with multiple areas (technology, operations, partners);
- Interest in digital products, mobility, services, and customer experience;
- Basic knowledge of digital funnel, conversion, or e-commerce (plus);
- Basic knowledge of insurance (plus);
- Interest in technology, AI, innovation, and digital services (plus);
- Experience with tools such as Power BI, Tableau, or similar (plus);
- Previous experience in projects, operations, startups, or digital products is a plus;
- Knowledge of data lake;
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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