Manager, Global Trade Data – Automation

RTX

. Develop dashboards, websites, and support data analysis, health monitoring, and other key data management tasks .

Posted 9/25/2026full-timeRemote • Florida • United StatesMid-LevelSenior💰 $107,500 - $204,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in data analysis, data engineering, and analytics, with proficiency in Power BI, SQL, and data transformation projects. Capable of collaborating across teams to deliver actionable insights and ensure compliance with relevant regulations.

Highest-signal resume keywords

Data AnalysisPower BISQLData Transformation (ETL)SharePoint

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceData EngineeringData ModellingStatistical AnalysisData CleaningData ValidationDashboard DevelopmentKPI TrackingData InsightsData Governance

Soft Skills

Analytical SkillsOrganizational SkillsCommunication SkillsCollaborationInfluencing

Tools & Technologies

Power QueryPower AutomatePower AppSnowflakeDatabricksSharePoint Lists

Industry Keywords

ITAR ComplianceEAR ComplianceU.S. Sanctions RegulationsDigital TransformationMatrixed Organization

Tech Stack

Tools & technologies

ETLSQL

About the role

Key responsibilities & impact

Develop dashboards, websites, and support data analysis, health monitoring, and other key data management tasks
Report to the Global Trade Program Management Office (PMO)
Build and maintain dashboards, reporting tools, and SharePoint environments to track KPIs and business performance
Collaborate with Global Trade Program Management, Investigations & Disclosures, and Audits and Corrective Actions teams to identify data needs and deliver actionable insights
Collect, clean, and validate large datasets from multiple sources
Analyze data using statistical and mathematical methods to identify trends, patterns, and insights
Conduct deep-dive analyses to uncover trends, anomalies, and opportunities for improvement

Requirements

What you’ll need

Bachelor’s degree in Data Science, Engineering, Computer Science, Statistics, or a related field and 8+ years of experience in data science, data engineering, or analytics; OR an advanced degree and 5+ years of experience in data science, data engineering, or analytics
Proficiency with Power BI and Power Query
Experience with data transformation projects (ETL)
Experience with data modelling and SQL
Experience with SharePoint, including Lists and governance
Experience with Power Automate and Power App
Experience with Snowflake and Databricks
Must be authorized to work in the U.S. without company immigration sponsorship now or in the future
Work experience in roles ensuring compliance with ITAR, EAR, and U.S. sanctions regulations preferred
Experience in large-scale digital transformation initiatives in a complex, matrixed organization preferred
Strong analytical and organizational skills preferred
Experience communicating and presenting to multiple organizational levels preferred
Ability to motivate, influence, manage crisis, develop effective internal networks, and collaborate across business functions preferred

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Life insurance
Short-term disability
Long-term disability
401(k) match
Flexible spending accounts
Flexible work schedules
Employee assistance program
Employee Scholar Program
Parental leave
Paid time off
Holidays
Annual short-term and/or long-term incentive compensation programs (eligibility-dependent; payments are not guaranteed)