Airlines Data Analyst: Reporting & Insight Onsite Atlanta

Pyramid Consulting, Inc; Atlanta (GA); On-site; USD 41,000 - 48,000; Full time

Job summary

Pyramid Consulting, Inc. has an immediate opening for a Data Analyst on a 12+ months contract in Atlanta, GA. This onsite opportunity focuses on creating, automating, and distributing reports and analytics to support decision making.

The ideal candidate has a Master’s in a business or quantitative discipline, 5+ years in data analytics, and strong SAS/SQL skills plus PowerBI, Tableau, and R. Proficiency with Excel and confidentiality are essential.

Qualifications

• Master’s degree in business or quantitative discipline.
• 5+ years of relevant experience in Data Analytics, Business, Program Management, or a quantitative field.
• 3 years of experience in data analytics or related fields.
• Extensive knowledge of SAS/SQL and experience with PowerBI, Tableau, and R.
• Excellent analytical and problem-solving skills.
• Strong interpersonal and communication skills.

Responsibilities

• Create, automate, and distribute new reports while enhancing existing reporting structures.
• Track hours worked to establish accrual of paid sick leave for flight attendants.
• Collaborate with Base Operations to optimize and develop next-generation decision support and analytic tools.
• Conduct actionable analysis on Reliability and Performance Development and internal investigations.
• Work cross-functionally with key stakeholders to deliver process improvements.
• Utilize critical thinking and strong analytical skills to achieve annual Flight Plan goals.

Skills

SAS/SQL

PowerBI

Tableau

R

Excel

Education

Master’s degree in business or quantitative discipline

Tools

SAS

SQL

Job description

Pyramid Consulting, Inc. has an immediate opening for a Data Analyst on a 12+ months contract in Atlanta, GA. This onsite opportunity focuses on creating, automating, and distributing reports and analytics to support decision making.

The ideal candidate has a Master’s in a business or quantitative discipline, 5+ years in data analytics, and strong SAS/SQL skills plus PowerBI, Tableau, and R. Proficiency with Excel and confidentiality are essential.