Data Analyst - Abu Dhabi, United Arab Emirates - Al Nahiya Group

Description

The Data Analyst is a role dedicated to analyzing data and generating highlevel reports to the Director General.

Data Collection:

Gather data from various sources including field studies databases and reports received from operating company.

Data Analysis and Interpretation:

Clean organize and analyze collected data to extract meaningful insights.

Use statistical techniques to identify trends patterns and correlations.

Report Generation:

Prepare reports and presentations that communicate research findings and data analysis results.

Translate complex data into accessible and understandable formats.

Collaboration and Communication:

Collaborate with crossfunctional teams and researchers to integrate data findings into conservation strategies.

Communicate findings to colleagues stakeholders and the public through reports and presentations.

Continuous Learning:

Stay updated on the latest research and developments in ornithology ecology and conservation science.

Attend conferences and workshops to enhance knowledge and skills.

Data Management:

Ensure data integrity security and compliance with data protection regulations.

Maintain organized and accessible data repositories.

Capacity Building:

Provide training and support to staff and volunteers in data collection and analysis techniques.

Foster a culture of datadriven decisionmaking within the Fund.

Requirements

Minimum required Qualification: Bachelors degree in ecology statistics or a related field; advanced degree is advantageous.

Experience:

Proven experience in data collection and analysis.

Proficiency in statistical analysis software (e.g. R SPSS)

Strong analytical skills

Excellent communication skills

Collaborative mindset and ability to work effectively.

Minimum required Qualification: Bachelor\'s degree in ecology, statistics, or a related field; advanced degree is advantageous. Experience: Proven experience in data collection, and analysis. Proficiency in statistical analysis software (e.g., R, SPSS) Strong analytical skills Excellent communication skills Collaborative mindset and ability to work effectively.