Operations Intelligence Specialist

Flexjet LLC; Cleveland (OH); On-site; USD 75,000 - 110,000; Full time

Job summary

Flexjet LLC is seeking a data analytics professional to build reporting, analysis, and process improvements that leadership and frontline teams rely on to manage daily performance and plan for what’s ahead. You will analyze large datasets, create dashboards, and apply ML and statistics to forecast and optimize operations.

The role involves leading analytics projects end to end, translating recurring questions into repeatable tools, and communicating insights clearly to executives and staff.

Qualifications

• Bachelor’s degree in business analytics or other relevant degree.
• 2–4 years of relevant work experience in data analytics; or equivalent combination.
• Demonstrate expertise in Excel, Python, PowerBI, and similar platforms, enabling efficient data analysis and visualization to drive informed decision‑making.
• Excellent written and verbal communication, with the ability to present findings clearly to both executives and front‑line operational staff.
• Have experience working with LLMs, leveraging their capabilities to enhance data analysis and generate actionable insights.

Responsibilities

• Analyze large datasets to identify trends, patterns, and insights that drive operational decisions.
• Create, maintain, and present reports/dashboards that communicate key performance indicators and operational metrics.
• Design, build, and implement processes/tools with fast‑moving datasets using machine learning, and statistical analysis methods.
• Analyze operational datasets (flight activity, on‑time performance, aircraft and crew utilization, ground and FBO data) to identify trends, patterns, and root causes that drive decisions.
• Translate recurring operational questions into repeatable tools and automated workflows that cut manual effort.
• Lead and support analytics projects end to end (vendor evaluations, capacity studies, performance analysis).
• Where appropriate, apply statistical methods and LLM‑assisted analysis to forecast and to handle high‑volume, fast‑changing data.

Skills

Excel

Python

Power BI

Education

Bachelor’s degree in business analytics

Tools

Power BI

Job description

Embedded within operations, this role builds the reporting, analysis, and process improvements that leadership and front‑line teams rely on to manage daily performance and plan for what’s ahead.

DUTIES & RESPONSIBILITIES

• Analyze large datasets to identify trends, patterns, and insights that drive operational decisions.
• Create, maintain, and present reports/dashboards that communicate key performance indicators and operational metrics.
• Design, build, and implement processes/tools with fast‑moving datasets using machine learning, and statistical analysis methods.
• Analyze operational datasets (flight activity, on‑time performance, aircraft and crew utilization, ground and FBO data) to identify trends, patterns, and root causes that drive decisions.
• Translate recurring operational questions into repeatable tools and automated workflows that cut manual effort.
• Lead and support analytics projects end to end (vendor evaluations, capacity studies, performance analysis).
• Where appropriate, apply statistical methods and LLM‑assisted analysis to forecast and to handle high‑volume, fast‑changing data.

EDUCATION & EXPERIENCE

• Bachelor’s degree in business analytics or other relevant degree
• 2‑4 years of relevant work experience in data analytics; or equivalent combination.
• Demonstrate expertise in Excel, Python, PowerBI, and similar platforms, enabling efficient data analysis and visualization to drive informed decision‑making.
• Excellent written and verbal communication, with the ability to present findings clearly to both executives and front‑line operational staff.
• Have experience working with LLMs, leveraging their capabilities to enhance data analysis and generate actionable insights.

REQUIRED SKILLS & QUALIFICATIONS

• Applicants must possess the legal right to work in the United States
• Proficiency with Microsoft Office Suite
• Strong analytical skills with the ability to collect, analyze, and interpret complex data sets.
• Self‑motivated, able to work independently with minimal supervision, able to work effectively with others.
• Ability to prioritize multiple tasks and meet deadlines.
• Detail‑oriented with a proactive and solution‑oriented mindset.