Senior Data Analyst; Defense Programs

Sandboxx is the leading platform dedicated to finding and building technology solutions throughout a service member's military life cycle. We're looking for people with drive and initiative who are excited about making great technology and a positive attitude for our service members. Come help us build meaningful solutions for the military community!

Sandboxx is the leading platform connecting military recruits with their families through letters, digital communications, and a growing online community. Every week, tens of thousands of families stay connected with loved ones in training, and our tools now extend to education, readiness, and resilience programs that support the entire military journey.

As Sandboxx deepens its partnerships across the military ecosystem, we’re increasingly being asked to demonstrate the measurable impact of communication and family support on outcomes like retention, performance, and overall mission success. This role is designed to help us answer those questions through data and analysis that meet the highest standards of rigor and credibility.

We’re seeking a senior military analyst or retired ORSA (O-4/O-5) to build Sandboxx’s readiness analytics capability. This contract role will translate Sandboxx user data into military-relevant insights and predictive models that connect communication, family engagement, and trainee outcomes.

Your mission: build defensible, data-driven models that demonstrate Sandboxx’s contribution to recruit retention, pipeline throughput, cost avoidance, and readiness that help shape a long-term analytic foundation for future DoD partnerships.

Sandboxx has proven its ability to connect service members and families in meaningful ways, but our next stage of growth requires us to prove the broader impact of that connection.

We need to move beyond describing platform activity and start quantifying outcomes that matter to our partners, such as improved retention, reduced attrition, and greater overall effectiveness.

This role will help us build the analytical foundation to translate our data into actionable insights, validate our value to key stakeholders, and position Sandboxx as a trusted partner in shaping future engagement and support strategies.

• Competitive daily or project-based rate
• Remote-first with optional in-person briefings
• Possible extension or long-term advisory engagement

• Architect and execute co‑marketing campaigns internally and with partners
• Lead the design and execution of Sandboxx’s first end‑to‑end impact analytics framework.
• Transform user engagement data into measurable insights that connect communication, family support, and military outcomes.
• Build predictive and prescriptive models that identify the factors most correlated with improved performance and reduced attrition.
• Develop dashboards and visualization tools that translate complex data into accessible, actionable stories for both leadership and partners.
• Quantify Sandboxx’s economic and operational impact through defensible cost avoidance and efficiency models.
• Deliver executive-ready briefs, summaries, and presentations that position Sandboxx as a trusted, data-informed partner.
• Establish long‑term data practices, documentation, and training that allow internal teams to sustain analytics growth after contract completion.

• Experienced data or research professional with a strong background in applied analytics, statistics, or operations research.
• Ability to translate complex data into clear insights that inform decision‑making.
• Proficiency in statistical modeling, data visualization, and predictive analytics using tools such as Python, R, or similar.
• Experience working with structured and unstructured datasets to uncover relationships and quantify impact.
• Strong communication skills with the ability to brief senior leadership and external stakeholders.
• Proven ability to work independently, prioritize effectively, and deliver high‑quality analysis within a defined timeframe.
• Understanding of privacy, data security, and sensitivity considerations in handling user or personnel data.