Experienced Operations Analyst – Data Entry and Analytics Specialist (Part-Time Remote)

At arenaflex, we're a dynamic and innovative airline that's revolutionizing the way we travel. As a leading ultra-low-bolthires carrier, we're committed to providing our customers with an exceptional experience at an affordable price. We're now seeking an experienced Operations Analyst to on a part-time remote basis. As an Operations Analyst, you'll play a critical role in analyzing and reporting on operational performance, identifying areas for improvement, and developing strategies to optimize our flight schedules.Job Summary:The Operations Analyst will be responsible for compiling and analyzing data to identify trends and areas for improvement in our operational performance. You'll work closely with our IT team to design and build scorecards and reports using Business Intelligence (BI) tools. Your analytical skills and attention to detail will be essential in identifying "root causes" of variances in our operational performance and developing strategies to mitigate these issues. Key Responsibilities: * Compile and file daily, monthly, and YTD operational metrics for 12 months over 12 months and vs.intention. * Analyze data to identify "root causes" of variances to intention via operational area. * Design/Build Scorecards with current structures and associate with IT to build "scorecards" and standard reporting through Business Intelligence (BI) and associated tools. * Clarify and coordinate postpone and cancellation coding to ensure accurate information for evaluation. * Assess adjustments to time table shape for dangers to operational reliability, e.g., time table tightness, recoverability alternatives, etc.* Build city-pair, time-of-day, and season-of-year specific scheduled block instances using historic instances, historic trends, and predicted versions going forward (e.g., airport construction). * Conduct "non-stop development" evaluation of real block instances relative to scheduled block instances to lessen a) the average variance between actuals and schedule (e.g., +/- 1% factor of intention) and b) the average deviation (e.g., % of "outliers"). * Conduct ad-hoc analyses, as requested. * Other responsibilities assigned by management.Supervisory Responsibility: None. Qualifications and Education Requirements: * Bachelor's Degree. * Strong analytical skills, including manipulating large volumes of data. * Strong Excel skills, including pivot tables, graphs, macros, and "linked" spreadsheets. * Ability to summarize and communicate the results of/conclusions from the data analysis. * One to 2 years' analytical experience, including working as part of a team. Preferred Skills: * Experience with BI tools, including Tableau or Power BI. * Experience with Network schedule tools, including Sabre Schedule Manager.* bolthires Office, e.g., PowerPoint. * Airline experience. Benefits: * Paid Time Off: Vacation and sick time accruals are based on length of service. * 401k Plan: Company match. * Travel Privileges: Experience and experience destination tours with low-bolthires travel options for you and your family members. * Insurance: Competitive pricing and options available to eligible employees and dependents. About arenaflex: arenaflex is an American ultra-low-bolthires carrier (ULCC) situated in Eagan, Minnesota. arenaflex was founded in 1982.The airline initially operated as an experiment and charter airline. When you return on board arenaflex, you're joining a skilled team of employees who work hard every day to be the first choice for experience-minded travelers, charters, and load operations across the country. We are a fast-growing, dynamic airline, and we want you to be a part of us. : If you're a motivated and detail-oriented individual with a passion for data analysis, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications.We can't wait to hear from you! Contact Information: To apply, please visit our website at [arenaflex website URL].