Business Analyst I - Hybrid, Data-Driven Improvements

UES

Orlando (FL)

Hybrid

USD 52,000 - 76,000

Full time

8 days ago
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Job summary

UES is seeking a Business Analyst I in Orlando to analyze business processes, gather requirements, and drive data-driven improvements that enhance efficiency and decision-making. The role supports cross-functional teams in a hybrid work environment and involves collaborating with senior managers on automation and process improvements.

The position emphasizes data analysis, process modeling, and problem solving to deliver scalable solutions that meet organizational goals in a geotechnical

Qualifications

  • Minimum 1 year of relevant experience.
  • Strong analytical and quantitative skills to identify trends.
  • Experience with data analysis tools and techniques.
  • Excellent communication and collaboration abilities.
  • Knowledge of project management methodologies.

Responsibilities

  • Analyze company processes and systems to improve efficiency.
  • Gather and document business and functional requirements.
  • Identify opportunities for automation and scalability.
  • Work with senior managers to solve complex business problems.
  • Analyze data to inform decisions and performance improvements.
  • Propose alternative solutions aligned with organizational goals.

Skills

Quantitative analysis
Data analysis
Problem-solving
Communication
Cross-functional collaboration
Process modeling
Requirements gathering
Project management basics

Education

Bachelor's degree in Business Administration, Finance, Data Analytics or related field

Tools

DeltekVantagepoint

Job description

UES is seeking a Business Analyst I in Orlando to analyze business processes, gather requirements, and drive data-driven improvements that enhance efficiency and decision-making. The role supports cross-functional teams in a hybrid work environment and involves collaborating with senior managers on automation and process improvements.

The position emphasizes data analysis, process modeling, and problem solving to deliver scalable solutions that meet organizational goals in a geotechnical

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