
Senior Data Analyst and Performance Specialist
6 days ago
As a Senior Monitoring Reporting and Verification (MRV) Analyst, you will take the lead on investigating, understanding, and communicating the performance of our environmental regeneration projects. You will work closely with peers in the Portfolio team to investigate project performance and opportunities; peers across GreenCollar on the continuous improvement of measurement, monitoring, reporting, verification, geospatial, and remote sensing practices; and project stakeholders – including landholders, pastoralists, regulators, and auditors - to understand, report on and communicate project performance.
Daily Responsibilities:- Leading the analysis of project data from multiple sources using appropriate statistical and analytical techniques to evaluate project performance;
- Proactively monitoring ongoing project events, activities, and performance;
- Creating and validating project forecasts;
- Preparing and managing project and portfolio reporting schedules, sequences, and requirements;
- Leading the preparation of comprehensive project reports, visualizations, presentations, and responses to communicate performance and guidance to project stakeholders;
- Identifying and communicating opportunities or imperatives to improve project performance and outcomes;
- Ensuring a timely and efficient response and resolution of triggered monitoring events;
- Recommending, or providing clear guidance on, project and portfolio priorities and activities;
- Comfortable working collaboratively in rapidly changing environments with a high degree of ambiguity;
- Demonstrated strong analytical and reasoning skills;
- Ability to break down complex problems using first principle thinking, devise effective solutions, and oversee their implementation;
- Ability to drive insights, influence decision making, and implement agreed solutions in line with a project or portfolio's objective;
- Track record of applying statistical concepts, modeling, forecasting, hypothesis development, and testing;
- Ability to manage, manipulate, and query data using tools such as SQL;
- Ability to understand and interrogate geospatial information;
- Excellent written and verbal communication skills to clearly articulate findings, recommendations, and data-driven narratives to diverse audiences, including non-technical stakeholders;
- Strong interpersonal skills and the ability to work effectively with cross-functional teams;
- Ability to manage and prioritize multiple data analysis projects, set realistic timelines, and deliver high-quality work within specified deadlines;
- Meticulous attention to detail when working with data, ensuring accuracy and consistency in analysis and reporting;
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