Senior Data Analyst: ROI & Cloud Insights

BAE Systems Inc.; Sterling (VA); On-site; USD 133,000 - 226,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) plan

Paid time off

Paid holidays

Paid parental leave

Paid military leave

Bereavement leave

Discounts (insurance related)

Employee assistance program

Legal plan

Company recognition program

Job summary

BAE Systems is seeking a data-analyst to begin analysis on a distinctive client data set supporting a cloud-based enterprise lab environment. The role focuses on driving data analysis, pattern identification, and development of tools to improve operational effectiveness.

Key responsibilities include collaborating with customers to validate requirements and evaluating total cost of ownership and ROI for IT options.

Qualifications

• Bachelor’s degree plus 6 years of relevant work experience, or equivalent experience.
• Ability to script complex queries to perform data analysis.
• Ability to apply data organization skills.
• Excellent organization and follow-through skills.
• Strong written and verbal communication skills.
• Detail-oriented approach with problem-solving skills.
• Proficient in Microsoft Office.

Responsibilities

• Drive day-to-day operations to initiate and sustain data analysis efforts.
• Identify leads and patterns within large data sets.
• Explore acquired data to generate intelligence.
• Develop technical tools and processes that improve overall operational effectiveness.
• Collaborate with the customer to understand and validate requirements.
• Assess total cost of ownership and return on investment for IT platform and infrastructure alternatives.

Skills

SQL scripting

Data organization

Organization & follow-through

Communication skills

Problem solving

Education

Bachelor’s Degree

Tools

Microsoft Office

Job description

BAE Systems is seeking a data-analyst to begin analysis on a distinctive client data set supporting a cloud-based enterprise lab environment. The role focuses on driving data analysis, pattern identification, and development of tools to improve operational effectiveness.

Key responsibilities include collaborating with customers to validate requirements and evaluating total cost of ownership and ROI for IT options.