Data Analyst

Samawada Organization

Position Overview

Samawada is seeking a curious, analytical, and impact-focused Data Analyst to help transform organizational, humanitarian, financial, program, fundraising, and operational data into meaningful insights that support better decision-making, transparency, accountability, and program impact.

This role is ideal for someone passionate about data analysis, statistics, data visualization, humanitarian technology, nonprofit analytics, business intelligence, impact measurement, and evidence-based decision-making.

The successful candidate will work closely with technology, programs, operations, fundraising, finance, communications, monitoring and evaluation, and leadership teams to collect, organize, analyze, visualize, and communicate data that helps Samawada understand its activities, resources, outcomes, and impact.

The role will contribute to data initiatives connected to:

• Data analysis
• Business intelligence
• Humanitarian data
• Program analytics
• Impact measurement
• Monitoring and evaluation
• Data visualization
• Global Transparency Dashboard
• Donor analytics
• Fundraising analytics
• Volunteer analytics
• Operational analytics
• Financial analysis
• Project performance
• Key performance indicators
• Data quality
• Reporting
• Dashboards
• Predictive analytics
• AI-enabled analytics
• Data-driven decision-making

This is an excellent opportunity to gain hands-on experience analyzing real-world data for a technology-driven humanitarian organization while building a professional portfolio in data analytics, business intelligence, data visualization, impact measurement, and social-impact technology.

What You Will Do

Data Analysis

Collect, organize, clean, analyze, and interpret organizational and program data.

Identify patterns, trends, relationships, anomalies, and opportunities within datasets.

Translate raw data into meaningful insights that can support organizational decision-making.

Conduct descriptive and exploratory analysis of organizational information.

Develop analytical approaches to answer operational, program, fundraising, and strategic questions.

Help teams understand what the data means and how it can be used effectively.

Data Collection & Management

Support the collection of data from internal and external sources.

Work with program, operations, finance, fundraising, technology, and other teams to understand data requirements.

Help establish consistent data-collection processes.

Organize datasets and maintain structured data repositories.

Support data-entry standards and documentation.

Help identify missing, inconsistent, duplicated, or inaccurate data.

Develop procedures that improve data reliability and usability.

Data Cleaning & Quality

Clean and prepare datasets for analysis and reporting.

Identify and resolve:

• Missing values
• Duplicate records
• Incorrect values
• Inconsistent formats
• Data-entry errors
• Outliers
• Inconsistent naming
• Data integrity issues

Help establish data-quality standards.

Document data-cleaning procedures and assumptions.

Work with data owners to address recurring data-quality problems.

Data Visualization

Create clear and compelling visualizations that help stakeholders understand complex information.

Develop:

• Charts
• Graphs
• Tables
• Dashboards
• Maps
• KPIs
• Scorecards
• Progress indicators
• Trend reports
• Impact visualizations

Select appropriate visualization methods based on the audience and analytical objective.

Work closely with UI/UX and frontend teams to translate analytical requirements into effective digital experiences.

Global Transparency Dashboard

Support the development and ongoing improvement of Samawada's Global Transparency Dashboard.

Analyze and prepare data related to:

• Projects
• Funding
• Donations
• Program activities
• Beneficiaries
• Geographic coverage
• Outcomes
• Impact
• Organizational performance

Develop metrics and indicators that help donors, partners, communities, and the public understand how resources are being used and what results are being achieved.

Help validate dashboard data and ensure information is accurate and understandable.

Program & Humanitarian Analytics

Analyze data related to humanitarian and development programs.

Potential areas include:

• Program participation
• Beneficiary information
• Needs assessments
• Service delivery
• Project activities
• Geographic coverage
• Program outputs
• Program outcomes
• Impact indicators
• Community feedback
• Monitoring data

Identify trends and insights that can help program teams improve implementation and resource allocation.

Monitoring, Evaluation & Impact Measurement

Support monitoring and evaluation activities.

Help define and track:

• Outputs
• Outcomes
• Indicators
• Targets
• Baselines
• Performance measures
• Impact metrics

Analyze program performance against targets.

Identify areas where projects are performing well and areas requiring improvement.

Support the development of evidence-based impact reports.

Help communicate program results clearly to leadership, donors, partners, and other stakeholders.

Fundraising Analytics

Analyze fundraising and donor data.

Support analysis of:

• Donations
• Donor acquisition
• Donor retention
• Recurring giving
• Average donation
• Campaign performance
• Funding pipelines
• Grant applications
• Grant success rates
• Corporate partnerships
• Donor engagement

Develop dashboards and reports that help fundraising teams understand performance and identify opportunities for growth.

Donor Analytics

Help analyze donor behavior and engagement.

Identify trends in donor activity, giving patterns, campaign participation, and engagement.

Support donor segmentation and reporting.

Help identify opportunities to improve donor retention and engagement.

Work with fundraising and technology teams to ensure donor analytics are handled responsibly and appropriately.

Financial & Resource Analytics

Support analysis of organizational financial and resource information.

Potential analysis may include:

• Project budgets
• Program expenditures
• Funding allocation
• Cost analysis
• Budget versus actuals
• Resource utilization
• Funding gaps
• Financial trends

Work with finance teams to develop useful analytical reports while respecting appropriate access controls and confidentiality requirements.

Operational Analytics

Analyze data related to organizational operations.

Potential areas include:

• Project progress
• Task completion
• Volunteer activity
• Operational workload
• Deadlines
• Resource utilization
• Process performance
• Organizational capacity

Identify bottlenecks, recurring issues, and opportunities for operational improvement.

Provide data-driven recommendations to operations and leadership teams.

Volunteer Analytics

Analyze volunteer-related information.

Support reporting on:

• Volunteer recruitment
• Applications
• Onboarding
• Participation
• Engagement
• Retention
• Activities
• Hours contributed
• Skills
• Geographic distribution

Help identify trends that can improve volunteer recruitment, engagement, and retention.

Project Performance Analytics

Develop analytical systems for monitoring project performance.

Track:

• Project milestones
• Timelines
• Deliverables
• Budgets
• Outputs
• Outcomes
• Risks
• Key performance indicators

Develop project dashboards and reports for project teams and leadership.

KPI Development

Help identify and define meaningful organizational and program-level Key Performance Indicators.

Work with different teams to establish measurable indicators.

Ensure KPIs are:

• Relevant
• Measurable
• Understandable
• Consistent
• Actionable

Develop reporting structures that allow teams to monitor progress over time.

Dashboards & Business Intelligence

Build and maintain analytical dashboards.

Potential tools may include:

• Power BI
• Tableau
• Looker Studio
• Excel
• Google Sheets
• Python
• R
• SQL
• Other BI platforms

Create dashboards for different audiences, including:

• Leadership
• Program teams
• Operations
• Fundraising
• Finance
• Communications
• Technology
• Donors
• Partners

Ensure dashboards are accurate, useful, and easy to understand.

SQL & Database Analysis

Use SQL and database technologies to retrieve, transform, and analyze data.

Write queries to:

• Extract information
• Join datasets
• Aggregate data
• Filter records
• Identify trends
• Validate information
• Prepare analytical datasets

Work with technology and database teams to understand data structures and improve analytical access.

Statistical Analysis

Apply appropriate statistical methods to organizational and humanitarian datasets.

Depending on project requirements, this may include:

• Descriptive statistics
• Correlation analysis
• Trend analysis
• Sampling
• Segmentation
• Regression
• Time-series analysis
• Hypothesis testing

Clearly communicate assumptions, limitations, and findings.

Geographic & Spatial Analysis

Analyze geographic information related to humanitarian programs and organizational activities.

Potential analysis includes:

• Project locations
• Program coverage
• Geographic distribution
• Community access
• Resource distribution
• Service locations
• Regional trends

Work with technology and program teams to support maps and geographic data visualizations.

Research & Data Discovery

Research external datasets, reports, statistics, and information relevant to Samawada's work.

Identify credible sources of humanitarian, socioeconomic, geographic, demographic, and development data.

Evaluate data sources based on:

• Relevance
• Accuracy
• Reliability
• Timeliness
• Methodology
• Geographic coverage

Document data sources and analytical assumptions.

Data Reporting

Prepare regular and ad hoc analytical reports.

Reports may support:

• Leadership
• Programs
• Fundraising
• Finance
• Operations
• Donors
• Partners
• Public transparency

Present findings clearly through written summaries, charts, dashboards, and visual reports.

Data Storytelling

Transform complex analytical findings into clear and compelling stories.

Explain:

• What happened
• Why it matters
• What the data shows
• What has changed
• Where problems exist
• What opportunities exist
• What actions could be considered

Adapt analytical communication for both technical and non-technical audiences.

Data Governance

Help establish responsible data-management practices.

Support:

• Data definitions
• Data dictionaries
• Data ownership
• Data-quality standards
• Access controls
• Documentation
• Data retention practices
• Version control

Help ensure analytical datasets are organized and understandable.

Data Privacy & Responsible Analytics

Handle organizational and personal data responsibly.

Follow appropriate practices related to:

• Privacy
• Confidentiality
• Access control
• Data minimization
• Secure storage
• Responsible data use

Be especially careful when working with beneficiary, donor, volunteer, financial, or other sensitive organizational information.

Escalate potential privacy or security concerns to the appropriate technology or leadership team.

Automation

Identify repetitive analytical and reporting tasks that could be automated.

Explore automation for:

• Data collection
• Data cleaning
• Report generation
• Dashboard updates
• Data validation
• Notifications
• KPI tracking

Work with technology teams to implement appropriate automation.

AI & Advanced Analytics

Explore responsible applications of AI and machine learning in organizational analytics.

Potential applications include:

• Predictive analytics
• Forecasting
• Anomaly detection
• Data classification
• Natural-language data querying
• Automated reporting
• Intelligent dashboards
• Donor analytics
• Program forecasting
• Resource optimization

Evaluate AI-generated insights critically and validate results before organizational use.

Collaboration & Decision Support

Work closely with:

• Program teams
• Operations
• Fundraising
• Finance
• Technology
• Communications
• UI/UX
• Leadership

Translate business and organizational questions into analytical problems.

Explain analytical findings clearly to non-technical stakeholders.

Provide evidence-based recommendations while clearly communicating limitations and uncertainty.

What We Are Looking For

Experience or strong interest in:

• Data analysis
• Business intelligence
• Statistics
• Data visualization
• Data science
• Monitoring and evaluation
• Impact measurement
• Humanitarian data
• Nonprofit analytics
• Operational analytics
• Fundraising analytics
• Research
• Evidence-based decision-making

Experience with one or more of the following is an asset:

• Excel
• Google Sheets
• SQL
• Python
• R
• Power BI
• Tableau
• Looker Studio
• Pandas
• NumPy
• Matplotlib
• Seaborn
• Jupyter
• PostgreSQL
• MySQL
• BigQuery
• Snowflake
• Other database or analytics platforms

Strong analytical and critical-thinking skills.

Strong attention to detail.

Ability to work with large or complex datasets.

Ability to identify patterns and trends.

Ability to explain technical findings clearly to non-technical audiences.

Strong problem-solving abilities.

Ability to conduct independent research.

Ability to organize and document analytical work.

Ability to work independently in a fully remote environment.

Ability to collaborate with multidisciplinary teams.

Ability to learn new analytical tools and technologies.

Ability to question data quality and assumptions rather than accepting results without validation.

Passion for humanitarian work, social impact, technology, and evidence-based decision-making.

Preferred Areas of Interest

Candidates with interest or experience in any of the following are encouraged to apply:

• Data analytics
• Business intelligence
• Data science
• Statistics
• Data visualization
• Power BI
• Tableau
• SQL
• Python
• R
• Excel
• Google Sheets
• Monitoring and evaluation
• Impact measurement
• Humanitarian data
• Development data
• Geographic information systems
• GIS
• Dashboard development
• Predictive analytics
• Machine learning
• AI
• Data engineering
• Database systems
• Operations research
• Fundraising analytics
• Donor analytics
• Financial analytics
• Program analytics
• Social impact measurement
• Evidence-based policy
• Digital transformation
• Open data
• Data storytelling

What You Will Gain

Real-world experience analyzing data for a technology-driven humanitarian organization.

Hands-on experience working with humanitarian, operational, financial, fundraising, volunteer, and program data.

Experience transforming raw datasets into actionable insights.

Experience developing dashboards and data visualizations.

Experience contributing to Samawada's Global Transparency Dashboard.

Exposure to monitoring, evaluation, impact measurement, and evidence-based program management.

Experience working with program, technology, operations, finance, fundraising, and leadership teams.

Experience using modern data-analysis and business-intelligence tools.

Exposure to SQL, Python, BI platforms, statistical analysis, and data visualization.

Experience communicating analytical findings to technical and non-technical audiences.

Portfolio-building experience through real-world data analytics projects.

Experience developing KPIs and performance-reporting systems.

Exposure to humanitarian data and social-impact analytics.

Opportunity to explore AI, machine learning, automation, and advanced analytics.

Networking opportunities with data, technology, humanitarian, nonprofit, and social-impact professionals.

Opportunity to contribute to data systems that improve transparency, accountability, program effectiveness, and organizational decision-making.

Strategic Projects You May Support

Global Transparency Dashboard

Analyze and prepare project, financial, program, and impact data for Samawada's Global Transparency Dashboard.

Develop meaningful indicators and visualizations that allow donors, partners, communities, and the public to understand how resources are being used and what results are being achieved.

Humanitarian Impact Analytics

Analyze humanitarian program data to understand reach, outputs, outcomes, and impact.

Develop analytical reports that help program teams identify successes, gaps, and opportunities for improvement.

Program Monitoring & Evaluation

Develop data systems for tracking program indicators, targets, outputs, outcomes, and impact.

Support evidence-based monitoring and evaluation across Samawada's programs.

Donor & Fundraising Analytics

Develop dashboards and analytical models that help fundraising teams understand donor behavior, campaign performance, funding pipelines, retention, and growth opportunities.

Volunteer Analytics

Analyze volunteer recruitment, engagement, activity, skills, retention, and geographic information to improve volunteer management and engagement.

Operational Intelligence Dashboard

Develop dashboards providing leadership with visibility into organizational operations, projects, deadlines, resources, activities, and performance indicators.

Financial & Resource Analytics

Analyze project budgets, expenditures, funding allocations, and resource utilization to help improve financial planning and organizational efficiency.

Geographic & Humanitarian Mapping

Analyze geographic data to visualize project locations, humanitarian activities, service coverage, community needs, and program reach.

Data Quality Initiative

Help establish organizational standards for data collection, cleaning, validation, documentation, and quality management.

Data Warehouse & Analytics Infrastructure

Work with technology and backend teams to help establish structured data sources and analytical datasets that can support future organizational reporting and business intelligence.

Automated Reporting

Develop automated processes that collect, transform, analyze, and report organizational data, reducing repetitive manual reporting work.

AI-Powered Analytics

Explore AI and machine-learning applications for forecasting, anomaly detection, natural-language data analysis, automated reporting, program analytics, donor analytics, and organizational decision support.

Impact Measurement Framework

Help establish standardized metrics and analytical frameworks for measuring the effectiveness and impact of Samawada's humanitarian programs.

Data Storytelling & Public Reporting

Transform complex organizational and humanitarian data into clear public-facing reports, visualizations, and stories that improve transparency and help communities, donors, and partners understand Samawada's impact.

Open Data & Humanitarian Research

Explore publicly available humanitarian and development datasets that can strengthen Samawada's research, planning, program design, and evidence-based decision-making.