1

Ngo Data Analyst Jobs in Virginia (NOW HIRING)

Showing results 21-21

Ngo Data Analyst information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do ngo data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for ngo data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What is an NGO data analyst?

An NGO Data Analyst is responsible for collecting, analyzing, and interpreting data to support decision-making and improve the effectiveness of nonprofit programs. They work with large datasets to identify trends, measure impact, and ensure data-driven strategies. Their role may involve data visualization, reporting, and using statistical tools to optimize resource allocation. By transforming raw data into actionable insights, they help NGOs enhance efficiency and achieve their mission more effectively.

What types of projects and data sets does an NGO data analyst typically work with?

As an NGO Data Analyst, you will often work on projects involving program evaluation, impact measurement, and resource allocation, analyzing data collected from field surveys, government databases, or internal monitoring systems. The data can include demographic information, health metrics, education outcomes, or environmental indicators, depending on the organization's focus. You may collaborate closely with program managers, field staff, and external partners to ensure data quality and meaningful analysis. This work is crucial for assessing the effectiveness of programs, securing grant funding, and communicating results to stakeholders.

What are the key skills and qualifications needed to thrive in the NGO data analyst position, and why are they important?

A successful NGO Data Analyst typically holds a degree in statistics, data science, or a related field and possesses strong analytical and quantitative skills. They are proficient in data analysis tools such as Excel, SPSS, R, or Python, and may have certifications in data visualization or statistical analysis. Strong communication, attention to detail, and cultural sensitivity are essential soft skills for interpreting data and presenting findings to diverse stakeholders. These abilities are crucial for informing evidence-based decision-making and driving the impact of NGO projects.

What are the most commonly searched types of Ngo Data Analyst jobs in Virginia?

The most popular types of Ngo Data Analyst jobs in Virginia are:

What cities in Virginia are hiring for Ngo Data Analyst jobs?

Cities in Virginia with the most Ngo Data Analyst job openings:

Infographic showing various Ngo Data Analyst job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Sr. AI Sales Specialist, AWS Global Nonprofit Business

Amazon

Arlington, VA • Remote

Full-time

Posted 2 days ago

New


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,151 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

AWS is seeking an AI Sales Specialist to drive awareness, qualification, and adoption of AWS AI products and services at scale across the nonprofit customer base within Worldwide Public Sector (WWPS). You will own the scaled motions that build awareness, qualify customers for AI readiness, deliver workshops that convert interest into pipeline, and build the repeatable frameworks the broader sales organization uses to engage on AI. This role combines technical capability with sales acumen and program management skill - operating across the AI Lifecycle to engage both organizations integrating AI across their enterprise and line-of-business leaders leveraging AI tools for decision-making.

You will work across multiple segments and geographies to build systematic, portfolio-wide pipeline generation motions.
Key job responsibilities
Customer Qualification & Product Matching
Identify, qualify, and prioritize nonprofit customers for AI adoption at scale - building a systematic, portfolio-wide pipeline of AI-ready accounts based on readiness, use case fit, and business potential
Match customer needs to specific AWS AI products and services (Amazon Q, Kiro, Bedrock, SageMaker); develop and own the qualification framework for assessing AI readiness across the entire nonprofit portfolio
Proactively engage Account Managers and Solutions Architects across the vertical to surface AI opportunities in existing accounts; operate as the connective tissue between field teams and AI pipeline
Manage a pipeline of qualified AI opportunities directly and through qualified Partners from initial interest through handoff to account teams for deep execution;
Generate qualified AI pipeline through proactive outreach, workshops, account team engagement, and partner co-sell motions; track lead-to-opportunity conversion rates and continuously optimize
Workshops & Customer Enablement
Design, develop, and deliver AI workshops and immersive experiences at scale that drive measurable conversion from awareness to adoption
Own workshop-to-opportunity conversion metrics; Develop workshop playbooks and delivery guides, continuously improve content, format, follow-up motions, and delivery mechanisms based on data
Engagement Framework & Sales Enablement
Build and maintain a repeatable, scalable AI engagement playbook for how the broader NPO organization initiates and advances AI conversations
Coach and enable AEs and SAs on AI product positioning through training sessions, field ride-alongs, and just-in-time support; measure enablement effectiveness through downstream pipeline metrics
Pipeline Development & Revenue Impact
Own and exceed quarterly/annual AI pipeline generation and adoption goals; proactively build top-of-funnel activity that drives AI/ML service adoption at portfolio scale
Identify trends and patterns in customer AI adoption across the portfolio; feed insights back to product, program, and leadership teams to inform strategy
Customer Engagement & Ecosystem
Build relationships with nonprofit technology and line of business executives across NGOs, foundations, research institutions, and nonprofit financial institutions
Evangelize AWS AI externally at industry events, webinars, and customer roundtables; contribute to case studies and thought leadership that build market awareness at scale
A day in the life
Your morning starts reviewing your AI pipeline dashboard and prepping for an online workshop with a group of nonprofit executives exploring Amazon Bedrock. Mid-morning, you coach an Account Manager on positioning Amazon Quick for a membership nonprofit.

Over lunch, you refine your AI qualification playbook based on last week's conversion data. Afternoon brings a webinar evangelizing generative AI to NGO leaders together with a Partner, followed by a strategy sync with the AI team lead on a complex deal handoff. You close the day updating pipeline forecasts and drafting a demand-gen campaign for next quarter.
About the team
The AWS Nonprofit Business team helps nonprofit organizations harness AWS to advance their missions - from deploying generative AI solutions for constituent engagement to building ML-powered analytics that optimize program outcomes

We serve thousands of nonprofit organizations globally, and AI is transforming how they deliver on their missions. This role sits at the center of that transformation, helping nonprofits discover and adopt AI tools that will accelerate their impact. We partner with customers, AWS partners, and the nonprofit ecosystem to remove barriers to AI adoption, maximize the value of AWS programs and credits, and deliver outcomes that amplify mission impact.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US