Airport BI Analyst: Dashboards, Forecasts & Insights

Tweed New Haven Airport Inc; New Haven, Northern (CT, KY); Hybrid; USD 78,000 - 85,000; Full time

Benefits offered by this job

Medical, Dental, Vision Insurance

401(k) Profit-Sharing Retirement Plan

Paid Vacation and Sick Leave

Paid Company Holidays

Professional Development Opportunities

Job summary

Avports is seeking a Business Intelligence Analyst to support airport data initiatives at Tweed New Haven Airport (HVN). The role focuses on building dashboards, forecasting models, and data pipelines to improve operational, financial, and commercial performance.

You will transition data management from a third-party provider to an in-house AWS-based environment, collaborating with leadership to deploy automation and AI-enabled analytics in a dynamic airport setting.

Qualifications

• Bachelor's degree in finance, statistics, data analytics, information systems, computer science, or related field; or a high school diploma/equivalent with five years related experience.
• Minimum three years of progressive BI/analytics experience.
• Aviation/airport operations or asset-intensive industry experience preferred.

Responsibilities

• Migrate data architecture to an in-house AWS environment and maintain data pipelines.
• Own data integrations, quality controls, and issue resolution.
• Develop dashboards, forecasting models, and executive reporting tools.
• Provide insights to support executive decision-making and cross-functional initiatives.
• Assist with automation, analytics, and AI-enabled tool adoption.

Skills

SQL

Power BI

AWS

Excel

DAX

Python scripting

API integrations

Education

Bachelor's degree in related field

High school diploma with 5 years experience

Tools

AWS Suite

ETL

Data pipelines

KPI reporting

Job description

Avports is seeking a Business Intelligence Analyst to support airport data initiatives at Tweed New Haven Airport (HVN). The role focuses on building dashboards, forecasting models, and data pipelines to improve operational, financial, and commercial performance.

You will transition data management from a third-party provider to an in-house AWS-based environment, collaborating with leadership to deploy automation and AI-enabled analytics in a dynamic airport setting.