Project Analyst – Data Visualization
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The Project Analyst will collect, clean, analyze, and visualize MEAL and last-mile distribution data for Catholic Relief in Nairobi. The role includes building Power BI dashboards and reports, supporting forecasting and donor reporting, and improving data quality across humanitarian programs.
- Build interactive Power BI dashboards using DAX
- Analyze MEAL, Nutrition, and distribution data
- Prepare reports and briefing notes for leadership
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The Project Analyst will collect, clean, analyze, and visualize MEAL and last-mile distribution data for Catholic Relief in Nairobi. The role includes building Power BI dashboards and reports, supporting forecasting and donor reporting, and improving data quality across humanitarian programs.
- Build interactive Power BI dashboards using DAX
- Analyze MEAL, Nutrition, and distribution data
- Prepare reports and briefing notes for leadership
- Support donor reporting and performance reviews
- Strengthen programme data quality and management
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AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- UnclearRelated work experienceThe text mentions experience, but the exact level should be confirmed at source.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in cleaning, internship, technologyThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in NairobiThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Project Analyst – Data Visualization evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Catholic Relief and the role in Nairobi.
- Add concrete examples related to cleaning, internship, technology, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from JobWeb Kenya; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
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- No major risk signal was detected in the captured text.
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Interview preparation
- What experience makes you a strong fit for this Project Analyst – Data Visualization role in cleaning, internship?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Nairobi under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Catholic Relief before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
Job Summary:
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.