Humanitarian Data Analyst Job Description [Updated for 2025]

In this era of globalization, the importance of humanitarian data analysts is more crucial than ever.

As the world becomes increasingly interconnected, the need for skilled individuals who can dissect, interpret, and apply data to address humanitarian issues continues to rise.

But what exactly does a humanitarian data analyst do?

Whether you are:

• A job seeker aiming to understand the crux of this role,
• A hiring manager outlining the perfect candidate,
• Or merely fascinated by the realm of humanitarian data analysis,

You’ve come to the right place.

Today, we present a comprehensive humanitarian data analyst job description template, tailored for easy posting on job boards or career portals.

Let’s dive right in.

Humanitarian Data Analyst Duties and Responsibilities

Humanitarian Data Analysts have an essential role in interpreting data to assist in the planning and implementation of humanitarian projects and decision-making processes.

They use statistical techniques to interpret data and generate useful business reports.

The main duties and responsibilities of a Humanitarian Data Analyst include:

• Collecting and interpreting data from various humanitarian sources
• Analyzing results using statistical techniques and providing ongoing reports
• Developing and implementing databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Identifying, analyzing, and interpreting trends or patterns in complex data sets
• Filtering and cleaning data, and reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Working with management to prioritize business and information needs
• Locating and defining new process improvement opportunities
• Creating data-driven reports that help in decision-making during humanitarian crises
• Working in collaboration with field staff and other stakeholders to gather data and understand their data analysis requirements

 

Humanitarian Data Analyst Job Description Template

Job Brief

We are looking for a dedicated Humanitarian Data Analyst to join our team.

The candidate will be responsible for collecting, analyzing, and interpreting complex data sets, aiding strategic decision-making processes and supporting our humanitarian goals.

Our ideal candidate should have a knack for seeing solutions in sprawling data sets and business acumen to convert those findings into actionable strategies.

 

Responsibilities

• Collect, interpret and analyze complex data sets.
• Identify patterns and trends in data sets.
• Define new data collection and analysis processes.
• Work alongside teams within the business or the management team to establish business needs.
• Use data to create models that depict trends in the customer base and the consumer population as a whole.
• Conduct full lifecycle analysis to include requirements, activities, and design.
• Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Locate and define new process improvement opportunities.

 

Qualifications

• Proven working experience as a data analyst or business data analyst.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques.
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks).
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc).
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Adept at queries, report writing and presenting findings.
• BS in Mathematics, Economics, Computer Science, Information Management or Statistics.

 

Benefits

• 401(k)
• Health insurance
• Dental insurance
• Retirement plan
• Paid time off
• Professional development opportunities

 

Additional Information

• Job Title: Humanitarian Data Analyst
• Work Environment: Office setting with options for remote work. Some travel may be required for field data collection or team meetings.
• Reporting Structure: Reports to the Data Analysis Manager.
• Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
• Pay Range: $65,783 minimum to $114,041 maximum
• Location: [City, State] (specify the location or indicate if remote)
• Employment Type: Full-time
• Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• Application Instructions: Please submit your resume and a cover letter outlining your qualifications and experience to [email address or application portal].

 

What Does a Humanitarian Data Analyst Do?

Humanitarian Data Analysts typically work for non-profit organizations, international agencies, and government bodies that are involved in relief efforts, disaster management, and social services.

They are responsible for collecting, processing, and analyzing various types of data related to humanitarian crises, such as health statistics, demographic data, information about resources, and data on the impact of disaster or conflict.

The main aim of their work is to help these organizations make informed decisions about how to allocate resources, respond to crises, and evaluate the effectiveness of their interventions.

Humanitarian Data Analysts need to have strong data management skills, as they often work with large datasets and may need to clean, validate, and standardize data before analysis.

They also need to have a good understanding of the contexts in which they work, as they need to interpret the data within these contexts and communicate their findings to non-technical audiences.

The role of a Humanitarian Data Analyst often requires collaboration with others, including field workers, project managers, and decision-makers.

They also work closely with data protection officers to ensure that the data they handle is stored and processed in a way that respects the privacy and security of the individuals it represents.

In some cases, Humanitarian Data Analysts may also be involved in training others within their organization in data literacy and the use of data analysis tools.

 

Humanitarian Data Analyst Qualifications and Skills

A Humanitarian Data Analyst should possess a range of technical and interpersonal skills that can support the organization’s mission and data analysis needs, such as:

• Strong analytical and problem-solving skills to examine large sets of data, extract meaningful insights, and suggest solutions to improve humanitarian operations.
• Understanding of data collection methods and data integrity principles to ensure the quality and accuracy of collected data.
• Proficiency in using statistical tools and software like R, Python, SQL, and Excel to manipulate and analyze data.
• Excellent communication and presentation skills to effectively share findings and insights with both technical and non-technical team members and stakeholders.
• Understanding of the humanitarian context and commitment to humanitarian principles to ensure that data analysis is driven by the needs and experiences of affected communities.
• Experience in project management to coordinate data collection and analysis activities within the organization and with external partners.
• High attention to detail and organizational skills to manage multiple datasets and projects simultaneously.
• Knowledge of data privacy and protection regulations to ensure the ethical and secure handling of sensitive data.

 

Humanitarian Data Analyst Experience Requirements

Entry-level Humanitarian Data Analysts typically require 1 to 2 years of experience, often gained through internships, part-time roles, or volunteer work in a relevant field.

They should have experience in data collection, analysis, and interpretation, particularly in the context of humanitarian or developmental projects.

Experience in using data analysis software and tools, such as Excel, SQL, Python, or R is also a must, and some roles may require knowledge in GIS and remote sensing.

Entry-level candidates should be able to demonstrate knowledge of basic statistical methods and the ability to present data in an understandable format.

Candidates with more than 3 years of experience should have built a solid understanding of the data lifecycle and have been involved in implementing data strategies and working on complex analytical projects in the humanitarian sector.

They should have experience in using advanced statistical analysis methods and predictive modeling.

Candidates with more than 5 years of experience are usually expected to have leadership experience and may be suited for a senior role.

Such candidates should have a strong background in developing and implementing data strategies, supervising data collection and analysis, and ensuring data integrity and security.

They should also have a track record of successfully using data analysis to support decision-making in humanitarian settings.

Further, experience in teaching or training others in data analysis, working with multidisciplinary teams, and experience in a range of humanitarian contexts can be advantageous for more senior roles.

 

Humanitarian Data Analyst Education and Training Requirements

Humanitarian Data Analysts usually possess a bachelor’s degree in data science, statistics, computer science, economics, or a related field.

Their education typically includes a strong foundation in quantitative analysis, statistical methods, and data interpretation.

Knowledge of software such as Python, R, SQL, and Excel for data analysis is essential.

Since the role is specific to the humanitarian sector, coursework or experience in social sciences, international relations, or a related field can be beneficial.

Understanding social issues, global affairs, and cultural contexts can help analysts interpret data more effectively.

Many roles may require a master’s degree in a related field, focusing on advanced data analysis techniques, machine learning, and predictive modeling.

Certifications in data analysis or related software can be an added advantage, demonstrating a candidate’s specialized skills.

Additionally, soft skills like problem-solving, communication, and teamwork are valuable, as analysts often work in interdisciplinary teams and need to present their findings to non-technical colleagues or stakeholders.

Continual learning is critical in this role due to the constantly evolving nature of data analysis techniques and tools.

 

Humanitarian Data Analyst Salary Expectations

A Humanitarian Data Analyst can expect to earn an average salary of $73,000 (USD) per year.

However, this figure can significantly vary depending on the individual’s level of experience, specific skill set, educational background, and geographical location.

The organization for which they work could also significantly impact their earnings.

It’s worth noting that those working in this field often find non-monetary rewards in their roles, such as the fulfillment from making a positive impact on global humanitarian issues.

 

Humanitarian Data Analyst Job Description FAQs

What skills does a Humanitarian Data Analyst need?

Humanitarian Data Analysts should have strong analytical skills, with a keen ability to interpret complex data sets and translate them into easily understood information.

They should also have excellent knowledge of data gathering and interpreting systems, databases, and data analysis tools.

Other essential skills include attention to detail, critical thinking, strong communication skills, and the ability to work collaboratively in a team.

 

Do Humanitarian Data Analysts need a degree?

Yes, most Humanitarian Data Analyst positions require a Bachelor’s degree in fields such as Statistics, Economics, Computer Science or any related field.

Some employers may prefer candidates with a Master’s degree or equivalent experience in a relevant field.

Knowledge of humanitarian work and issues is also a significant advantage in this role.

 

What should you look for in a Humanitarian Data Analyst resume?

A Humanitarian Data Analyst’s resume should indicate a strong background in data analysis, statistics, and data visualization.

It should also highlight experience with specific data analysis tools and software such as Python, R, SQL, or Tableau.

Experience in humanitarian work, either through employment or volunteering, is a big plus.

Other attributes to look for include problem-solving skills, attention to detail, and excellent written and verbal communication skills.

 

What qualities make a good Humanitarian Data Analyst?

A good Humanitarian Data Analyst should have a deep understanding of statistical analysis and the ability to translate complex data into actionable insights.

They should be detail-oriented, methodical, and able to work under pressure.

They should also have strong empathy and understanding of humanitarian issues, along with the ability to work well in a team and communicate their findings effectively to various stakeholders.

 

How does a Humanitarian Data Analyst contribute to humanitarian causes?

A Humanitarian Data Analyst plays a crucial role in informing the decision-making process in humanitarian work.

They analyze data related to humanitarian crises and provide insights that help organizations understand the scale, severity, and dynamics of a crisis.

This information can inform strategic planning, resource allocation, and impact assessment, ultimately contributing to more effective and responsive humanitarian interventions.

 

Conclusion

There you have it.

Today, we have unveiled the true essence of being a Humanitarian Data Analyst.

Surprised?

It’s not just about crunching numbers.

It’s about shaping a better world through data, one analysis at a time.

With our detailed Humanitarian Data Analyst job description template and real-world examples, you’re ready to take the next step.

But why halt your journey there?

Explore further with our job description generator. It’s your guide to creating meticulous job listings or refining your resume to perfection.

Remember:

Every piece of analyzed data has the potential to make a significant difference.

Let’s shape a better world. Together.

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