Data Analyst

• Understanding the business requirements so as to formulate the problems to solve and restrict the slice of data to be explored.
• Acquire data from different data sources and formats and maintain databases/pipelines.
• Filter and clean data from data sources, and performance indicators to locate and correct code problems.
• Design intuitive user interfaces and navigation flows for interactive dashboards, considering user needs and best practices in data visualization.
• Conduct product editing and gather feedback to iterate and improve data visualization products.
• Interpret data, analyze results using statistical techniques and provide ongoing reports.
• Develop and implement strategies for databases, data collection systems, data analytics and other tools that optimize decision making based on don data
• Performing statistical analysis and experiments to derive business insights.
• Clearly communicating the findings from the analysis to turn information into something actionable through reports, dashboards, and/or presentations.
• Identify, analyze, and interpret trends or patterns in complex data sets
• Work closely with the Systems Analyst, GIS Specialist, Solution Architect and USAID mission staff to identify process improvement opportunities, propose system modifications, optimize data pipelines, and devise data governance strategies.
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Participate in Data Visualization capacity-building activities for USAID staff and their partners.
• Work with management to prioritize business and information needs.

Reports to: Technology & Data Director

Qualifications:

• Minimum bachelors degree in data science, Information Technology, Computer Science, Software engineering, or a related quantitative field.
• Experience in Data Analysis, Data Engineering, Data Visualization, Data Management
• Excellent problem-solving, Sound logical and analytical reasoning and numerical skills
• Excel proficiency and knowledge of querying languages
• Able to demonstrate expertise in data visualization and data analytics tools (Tableau, ArcGIS, Survey123, Python, Excel) and techniques.
• Able to explain, communicate and present complex technical concepts to clients and business partners