Entrepreneurship in the territories: is it the right time?
Solve Education! is hiring a Data Analyst who can operate at a high standard in a demanding, fast-moving, and execution-focused environment. This role requires more than technical skill — it calls for precision, discipline, and the ability to deliver under pressure.
You’ll be responsible for transforming data into actionable insights that power our global impact. From building dashboards to analyzing trends, you will handle the full cycle of data analysis: collection, validation, visualization, and reporting. All with minimal supervision and tight timelines. This is a position for someone who is ready to lead by doing, not waiting for direction.
Before You Apply
This role is not light, routine, or heavily guided. You’ll be expected to handle ambiguity, juggle multiple priorities, and deliver decision-ready analyses with little to no revision. You must stay calm under pressure, take full ownership of your tasks, and deliver reliable outputs — even when requirements shift or immediate turnaround is needed.
If you’re seeking a role that will stretch your analytical capacity, sharpen your problem-solving, and accelerate your growth, and you’re prepared to meet high expectations, we want to hear from you.
Responsibilities
Data Collection & Management
- Gather, clean, and validate data from multiple sources.
- Ensure accuracy, consistency, and reliability of datasets.
- Support the creation of well-structured databases and reporting systems.
Analysis & Insights
- Analyze data to uncover trends, risks, and opportunities.
- Translate business requirements into analytical models and visualizations.
- Provide clear, actionable insights to guide decision-making.
Performance & Reporting
- Build dashboards and reports that are intuitive and impact-driven.
- Monitor KPIs and metrics to track organizational performance.
- Communicate findings effectively to technical and non-technical stakeholders.
Data Quality & Governance
- Apply best practices in data validation, documentation, and compliance.
- Maintain high standards of data integrity across platforms.
AI-Enhanced Workflows
- Use AI-powered tools (e.g., ChatGPT, GitHub Copilot, cloud-native AI services) to speed up data analysis, documentation, and reporting.
- Continuously explore and adopt new technologies to streamline workflows.
Collaboration
- Work closely with program teams, engineers, and leadership to enable data-driven decisions.
- Provide analytical support for strategic initiatives and program evaluations.
