Job Purpose
Gathering, managing, and analyzing data related to ecology research and projects. Work closely with cross-functional teams to provide valuable insights that drive decision-making and improve the effectiveness of the Fund's initiatives.
Main Responsibilities
1. Data Management:
· Collect and maintain ecological data from various sources.
· Develop and implement data quality control procedures to ensure accuracy and reliability.
· Create and manage databases, data storage, and data retrieval systems.
2. Data Collection:
· Design and execute data collection plans for ecological research projects.
· Collaborate with field teams to collect environmental and ecological data.
· Utilize data collection tools and technologies effectively.
3. Statistics:
. Conduct statistical analysis on collected data to identify trends, patterns, and correlations.
. Generate descriptive and inferential statistics to support research findings.
. Create data visualizations and reports to communicate insights effectively.
4. Data Interpretation:
. Interpret and communicate findings to non-technical stakeholders in a clear and concise manner.
. Provide recommendations based on data analysis to inform decision-making processes.
5. Data Integration:
. Collaborate with interdisciplinary teams to integrate data from various sources and domains.
. Work on cross-functional projects to enhance data-driven solutions.
6. Documentation and Reporting:
. Maintain comprehensive documentation of data collection and analysis processes.
Prepare and deliver reports, presentations, and data summaries for internal and external stakeholders.
Requirements
· Bachelors degree in a relevant field such as Statistics, Data Science, Mathematics, or related discipline.
· 5 - 7 years of experience as a Data Analyst or similar role.
· Proficiency in data analysis tools and languages (e.g., Python, R, SQL) and data visualization tools (e.g., Tableau, Power BI).
· Strong analytical and problem-solving skills with the ability to work with large datasets.
· Excellent communication skills, both written and verbal.
· Detail-oriented mindset with a commitment to data accuracy.
Strong teamwork and collaboration skills.
Preferably Ecology background.
Arabic language is a plus.
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