Data Analyst Remote
San Diego, San Diego County, California, 92189, USA
Listed on 2026-10-04
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IT/Tech
Data Analyst, Business Intelligence, Data Engineering
Position Title
Data Analyst
Department
Analytics / Data (or Product/Engineering, depending on how you structure teams)
Location
Remote – U.S. Only
Employment Type
Full-Time
Job Description (Overview)
Type3 Solutions builds mission-critical fleet management and logistics software for U.S. naval aircraft in support of the U.S. Navy and Marine Corps. Our work directly contributes to maintaining and improving fleet-wide readiness for national defense.
We work closely with our customers to develop proprietary software and analytics products that solve complex operational challenges.
We are seeking a Data Analyst to develop analytical products for both internal and external stakeholders. This role will work closely with company leadership, customers, subject-matter-experts, and software engineers to develop analytical solutions that inform decisions at the highest levels of Naval Aviation leadership.
The Data Analyst will work across the analytical lifecycle — data discovery, cleaning, transformation, analysis, and visualization — while also improving and maintaining data pipelines and reporting workflows that support our products.
Why Join Type3?- Mission-driven impact supporting U.S. military readiness
- High ownership over analytical products and technical direction
- Low bureaucracy and fast-moving environment
- Modern technology stack
- AI-forward culture
- Performance-based bonuses
- Build and maintain Power BI dashboards and analytical products that help Fleet stakeholders and commanders understand operational performance and make informed decisions
- Translate operational questions into effective analytical solutions, selecting the right metrics, visualizations, filters, and drill-down paths
- Analyze aviation maintenance, supply, logistics, and readiness data to identify trends, anomalies, and relationships
- Independently investigate unexpected results to determine whether they reflect real conditions or data-quality/system issues
- Query and analyze large, complex relational datasets; develop reusable SQL queries, views, and data-prep processes
- Automate recurring SQL, data-prep, and reporting workflows
- Identify repetitive requests that can become reusable dashboards or reports
- Partner with product/program leads and aviation SMEs to improve analytical solutions
- Validate data quality and reconcile inconsistencies across sources
- Collaborate with software and data engineers to improve data products
- Develop working knowledge of military aviation maintenance, supply, logistics, and readiness data
- Bachelor's degree in analytics, data science, engineering, math, CS, operations research, or related field (or equivalent experience)
- 3+ years in data analysis, BI, or operations analysis (or equivalent demonstrated proficiency)
- U.S. Citizenship required
- Strong SQL skills, including independent exploration of unfamiliar/complex schemas
- Experience joining/analyzing data across multiple large relational tables
- Strong grasp of relational data concepts (grain, cardinality, relationships, duplicate handling)
- Ability to build reusable SQL queries/views and troubleshoot inefficient queries
- Experience building dashboards in Power BI, with strong data-viz judgment
- Strong Excel skills (formulas, pivot tables, data manipulation)
- Ability to independently navigate unfamiliar datasets and identify patterns/anomalies
- Strong critical thinking to distinguish real trends from data/system issues
- Ability to translate complex data into clear, operationally useful dashboards
- Strong attention to detail and communication skills across technical/non-technical audiences
- Active U.S. Government security clearance
- Experience with military aviation, maintenance, fleet readiness, logistics, or supply data
- Experience supporting DoD or other government customers
- Experience with Navy/Marine Corps aviation data
- Experience in commercial aviation, aerospace, or other asset-intensive ops environments
- Familiarity with DAX and Power BI data modeling
- Python for data analysis/automation
- Experience with Azure-hosted databases/data services
- Experience with CMMC, FedRAMP, or other regulated environments
- 401(k) with 6% match
- Medical, dental, vision insurance
- Performance-based bonuses
Remote (U.S. only); typical hours 8:30am–5pm with flexibility
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