Business Intelligence Analys

Role Description This part-time remote Business Intelligence Analyst role focuses on turning data into actionable insights that support strategic decisions for the Wild Bee Project. The analyst gathers, cleans, and analyzes data from multiple internal and external sources, then builds reports, dashboards, and visualizations to track key performance indicators and project outcomes. Day-to-day responsibilities include collaborating with project leads to define data requirements, designing data models and queries, and maintaining data pipelines and BI tools. The role also involves documenting methodologies, validating data accuracy, and presenting clear findings and recommendations to non-technical stakeholders. The analyst is expected to work independently, manage priorities across multiple initiatives, and contribute to continuous improvement of data processes.QualificationsStrong analytical skills, including the ability to interpret complex datasets and translate findings into clear, actionable insights.Proficiency in data analytics tools and techniques, such as SQL, spreadsheets, BI platforms (e.g., Power BI, Tableau, Looker), and data visualization best practices.Experience with data warehousing concepts, including working with structured data in relational databases or cloud data platforms.Knowledge of Extract Transform Load (ETL) processes, including building or maintaining data pipelines and ensuring data quality and consistency.Understanding of data modeling principles, including designing logical and physical models that support reporting and analysis needs.Strong communication skills, with the ability to explain technical concepts to non-technical audiences and collaborate across diverse teams.Ability to work remotely with minimal supervision, prioritize tasks, and meet deadlines in a part-time capacity.Bachelor’s degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Economics) or equivalent practical experience.Experience with scripting or programming languages (e.g., Python, R) for data analysis and automation is a plus.Interest in environmental, conservation, or non-profit projects and familiarity with impact measurement or program evaluation is beneficial.