Data Scientist / Data Visualization Analyst

About the Role

This remote part-time position involves transforming data related to our community and various programs into valuable insights. The Data Scientist / Data Visualization Analyst will play a crucial role in collecting, preparing, and analyzing data covering aspects such as member engagement, event success metrics, and networking impacts. The primary goal is to develop and present dashboards, reports, and visualizations suited to support strategic and operational decisions.

Main Responsibilities

• Gather, clean, and examine community and program data to spot trends and evaluate performance.
• Design interactive dashboards and compelling visual reports that convey essential metrics and findings to diverse stakeholders.
• Collaborate closely with program leaders to identify analytics requirements and refine data objectives.
• Build, optimize, and maintain analytical tools and data visualizations, ensuring their accuracy and usability.
• Present complex analytical results and actionable recommendations in accessible formats for audiences without technical backgrounds.
• Document analytical methods, maintain data integrity, and uphold ethical standards throughout data processes.
• Support decision-making and strategic planning by providing evidence-based insights.

Qualifications & Skills

• Solid grounding in data science and statistics, with practical experience applying quantitative analysis to real-world data.
• Proficient in extracting insights and identifying key patterns from large datasets.
• Demonstrated ability to create effective data visualizations and dashboards using industry-standard tools (such as Python, R, SQL, Excel, Power BI, or Tableau).
• Ability to translate technical findings into clear recommendations for non-technical users.
• Strong attention to detail and adherence to data integrity and ethical best practices.
• Excellent English communication skills; experience with Arabic-speaking work environments is beneficial.
• Previous experience working remotely and effectively managing part-time schedules, with comfort in collaborating across multiple time zones.
• Educational background in data science, statistics, computer science, economics, or another related field, or equivalent hands-on experience.

Additional Information

• This is a remote, part-time position.
• Engagement may be required across international time zones.
• An understanding of both English and Arabic working cultures is advantageous, but not mandatory.