Business Analyst II

RAVE Aerospace

. Partner independently with customers and internal stakeholders to understand business objectives, operational workflows, pain points, decisions, and desired outcomes for defined workstreams .

Posted 9/29/2026full-timeBrea • California • United StatesMid-LevelSenior💰 $97,000 - $110,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in business analysis and data analysis, translating complex requirements into actionable insights while leveraging AI tools for enhanced decision-making. Proficient in stakeholder engagement, data storytelling, and operational analytics within an Agile environment.

Highest-signal resume keywords

Business AnalysisData AnalysisAI Tools FluencyData VisualizationAgile Product Development

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Requirements GatheringData StorytellingData Quality AssessmentPredictive MaintenanceOperational DashboardsAcceptance Criteria DefinitionKey Performance IndicatorsProcess FlowsUser Acceptance TestingData Governance

Soft Skills

Analytical Problem-SolvingFacilitation SkillsPresentation SkillsCommunication SkillsIndependence

Tools & Technologies

Business-Intelligence ToolsData-Visualization ToolsAnalytics ToolsQuerying ToolsAI-Enabled Capabilities

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Engineering

Industry Keywords

Airline OperationsTechnical OperationsAircraft MaintenanceReliability AnalyticsMaintenance, Repair, and Overhaul

About the role

Key responsibilities & impact

Partner independently with customers and internal stakeholders to understand business objectives, operational workflows, pain points, decisions, and desired outcomes for defined workstreams
Translate business needs into clear requirements, user stories, process flows, data requirements, acceptance criteria, and prioritized development work
Define key performance indicators, business rules, data definitions, and success measures with operational and technical stakeholders
Facilitate discovery sessions, requirements reviews, solution workshops, demonstrations, and validation sessions
Own traceability from customer need and business objective through requirement, delivery, validation, and adoption
Analyze operational, maintenance, product, and customer data to identify trends, relationships, anomalies, root causes, and improvement opportunities
Turn complex analysis into clear stories and present findings and recommendations to customers, leaders, product teams, and engineering partners
Work with data and product teams to shape dashboards, reports, visualizations, alerts, and decision-support experiences
Assess data completeness, quality, consistency, and usability; document limitations and coordinate resolution with data owners
Serve as an analytical partner in customer meetings, translating operational questions into data-driven investigations and development priorities
Coordinate decisions, dependencies, risks, assumptions, and follow-up actions across workstreams
Support user acceptance testing, release readiness, customer feedback, adoption planning, and post-release evaluation
Use modern AI tools responsibly to accelerate analysis and lead discovery for additional AI-enabled capabilities
Partner with data science, data engineering, software engineering, and product teams to convert approved AI opportunities into prioritized requirements and testable acceptance criteria
Evaluate AI outputs for relevance, accuracy, explainability, operational fit, and risk

Requirements

What you’ll need

Bachelor's degree in Computer Science or Engineering
3+ years of experience in business analysis, data analysis, product analytics, technical consulting, digital product development, or a related role
Independently gathers requirements and works across business, customer, data, product, and engineering teams to deliver data-driven solutions
Presents analysis, recommendations, and project requirements directly to customers and senior stakeholders
Applies strong analytical and problem-solving skills to structure ambiguous questions and determine the evidence needed to answer them
Uses strong data-storytelling skills to explain complex findings in clear business language
Applies practical fluency with AI tools and concepts and leads discussions about additional AI-enabled development needs
Uses business-intelligence, data-visualization, analytics, or querying tools to explore data and communicate actionable insights
Demonstrates strong written, verbal, facilitation, and presentation skills with technical and non-technical audiences
Manages multiple priorities, works independently, and follows through in a customer-facing environment
Applies knowledge of airline operations, technical operations, aircraft maintenance, reliability, or maintenance, repair, and overhaul processes
Works independently with operational dashboards, predictive maintenance, asset-health monitoring, reliability analytics, or similar decision-support products
Works in an Agile product-development environment and supports backlog refinement, testing, and release planning
Applies familiarity with data governance, data quality, AI governance, or model-validation practices

Benefits

Comp & perks

A home allowance to elevate your home workspace
Discretionary bonus program
401(k) program with a company match
Paid time off covering vacations, personal time off, and sick days
Year-end holiday shutdown
Alternative work schedule (9/80) with every other Friday off
Comprehensive health benefits including company contributions