Data Analyst - Mission Data & Insights
Pineland Gardens, Duval County, Florida, USA
Listed on 2026-01-16
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IT/Tech
Data Analyst -
Business
Data Analyst
Location: Pineland Gardens
Great benefits. Competitive pay. We know these are some of the things people look for in a job.
If you're the kind of person who believes that honoring and empowering our nation's veterans is more than just a cause - that it's a calling - then we're ready to meet you.
When you join Wounded Warrior Project (WWP), you're committing to making a difference. We make a commitment to you, too - helping you to find that spark, ignite your passion to serve, and embark on a career with meaning and purpose.
At WWP, we recognize our mission cannot be accomplished without our talented teammates, which is why we're proud to offer benefits such as:
- A flexible hybrid work schedule (three days in the office, two days' work from home)
- Full medical, dental, and vision coverage for both teammates AND family members
- Competitive pay and performance incentives
- A fun, mission-focused, and collaborative team environment
A mission that matters is just the beginning, so if you're ready to get started, we're ready for you.
The Wounded Warrior Project (WWP) Data Analyst I, part of the Mission Data & Insights team, systematically processes large datasets, ensuring data accuracy through quality assurance and advanced analysis methods to produce actionable insights on program effectiveness. By collaborating with cross‑functional teams and leveraging effective data storytelling, the Data Analyst I helps drive strategic decisions, enhance warrior well‑being, and increase awareness of the post‑9/11 veteran population.
DUTIES& RESPONSIBILITIES
- Support the design, testing, and implementation of data collection tools and methodologies.
- Gather, clean, and validate structured and unstructured data from various sources, ensuring data integrity and accuracy.
- Maintain and update databases and data systems, ensuring timely and accurate data availability.
- Perform basic statistical analyses under the guidance of senior team members and assist in interpreting data to identify key trends and insights.
- Generate reports, charts, and data visualizations to summarize findings and support decision‑making.
- Prepare and present preliminary analysis reports, documenting processes and methodologies used in data collection and analysis.
- Conduct quality assurance checks on data‑related deliverables to ensure accuracy, validity, and consistency in reporting.
- Ensure proper archiving and accessibility of data, reports, and supporting documentation.
- Assist in developing and implementing evaluation plans, including participation in fieldwork activities such as surveys, interviews, and focus groups.
- Support the preparation of evaluation reports and presentations for internal and external stakeholders.
- Collaborate effectively with team members and other departments to support data‑driven initiatives and projects.
- Provide project support to senior analysts and managers, contributing to discussions and team meetings with data‑driven insights.
- Attend and actively participate in required training and/or meetings, including but not limited to New Teammate Orientation, WWP Cares, ASIST Suicide Prevention training, Leadership training, culture/team based training, or departmental huddles.
- Other related duties as assigned.
- Basic understanding of statistical methods and data analysis techniques.
- Strong organizational and time management skills, with a proven ability to adapt to shifting priorities, meet deadlines, and deliver high‑quality work within time constraints.
- Proficiency in using Microsoft Office (e.g., Word, Excel, Outlook, Project, PowerPoint).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Familiarity with statistical software (e.g., SPSS, R, SAS) and strong documentation skills, with excellent attention to detail and organizational abilities.
- Effective written and verbal communication skills, with a collaborative mindset and the ability to work both independently and as part of a team.
- Willingness to learn and develop new skills in data analytics and evaluation, while being open to feedback and continuous improvement.
- Strong ethical standards regarding data confidentiality and integrity.
- High energy level. Self‑starter; willing to…
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