Data Visualization

The Project Analyst - Data Visualization will be responsible for collecting, extracting, cleaning, analyzing, and visualizing data from existing MEAL (Monitoring, Evaluation, Accountability, and Learning) and last-mile distribution systems to support evidence-based decision-making, program performance monitoring, and operational efficiency. The role will focus on developing interactive dashboards and reports using digital tools, transforming complex datasets into actionable insights, identifying trends and performance gaps, and providing timely analytical support to senior leadership, program teams, MEAL teams, and supply chain teams. The Data Analyst will strengthen organizational data management practices, improve data quality, and support the use of reliable, timely, and accessible information to monitor program performance, assess MEAL indicators, track commodity distribution, evaluate operational efficiency, and inform strategic and operational decisions. Roles and Key Responsibilities:

Data Visualization and Dashboard Development

Develop dashboards that provide a consolidated view of humanitarian program implementation, beneficiary reach and commodity distribution in a complex emergency response context.

Use Power BI data models, relationships, measures, and DAX calculations to support accurate and meaningful reporting.

Support forecasting and trend analysis where appropriate, using available data and suitable analytical methods.

Prepare analytical reports, dashboards, briefing notes, and presentations for senior leadership and program management teams.

Support the preparation of donor reports, internal performance reviews, and organizational reporting requirements.

Data Extraction and Integration

Organize program-related data including MEAL, Nutrition and last-mile distribution. Perform data cleaning to ensure these data are accurate and high-quality.

Consolidate data from multiple sources into structured datasets for analysis, reporting, and visualization.

Support the integration of data from multiple platforms to provide a comprehensive view of program performance and commodity distribution.

Data Management and Quality Assurance

Clean, validate, transform, and organize datasets to ensure accuracy, completeness, consistency, and reliability.

Facilitate and run training sessions on program digital tools and system for CRS and partner staff. Assess the capability of CRS and partner staff to use Dashboards and recommend additional capacity building training.

Geographic Information Systems (GIS) and Mapping

Produce informative and interactive project maps of high quality that highlight the geographic coverage and achievements of different project interventions using approved mapping software.

Implement the walk-less model with support from global teams.

Preferred Qualifications:

Knowledge MS Azure SQL database and MYSQL

Advanced Microsoft Power BI skills: Dashboard development, DAX measures, Power Query, and data visualization.

In-depth experience with APIs and data integration between digital platforms.

Advanced Python or other analytical tools for data processing and automation.

Knowledge of data warehousing, data modelling, and business intelligence practices.

Basic GIS skills for geographic data visualization and mapping of distribution coverage

Required Languages: Excellent verbal and written communication in English, with ability to write reports.

Travel: Must be willing and able to travel to the field up to 40%.

Supervisory Responsibilities: None

Key Working Relationships:

Internal: County-based MEAL, compliance and technical staff, CRS Information and Communications Technology (ICT)/GKIM staff.

External: Implementing partner M&E officers and consortium partner staff, and peer agencies’ staff.

Qualifications

Basic Qualifications:

Bachelor’s degree in data Analytics, Statistics, Information Technology, Computer Science, Information Systems or a related field.

At least 4 years of relevant experience in data analysis, business intelligence, information management, or reporting in humanitarian development.

Experience working with large datasets and developing structured data management processes, identifying trends, interpreting data, and presenting analytical findings to management.

Experience with business and technical requirements analysis, business process mapping and understanding of end-user needs and requirements.

Familiarity with MEAL, Nutrition programming, and last-mile distribution systems is an advantage.

Data storytelling: Ability to translate complex data into clear findings, insights, and recommendations

Knowledge, Skills and Abilities:

Ability to work to meet deadlines in multiple tasking environments.

Excellent organization, planning and analytical skills; detail oriented.

Good relationship management skills and the ability to work closely with project partners.

Proactive, result-oriented, and a team player.

Strategic, analytical, systems thinking, and problem-solving skills, with the capacity to see the big picture, make sound decisions, and offer creative solutions.

Strong communication and interpersonal skills, with demonstrated strength in relationship management and ability to communicate technical ideas and concerns in a non-technical manner to a wide range of staff.