Sr. Data Analyst, OAP

The Operations Analytics (OA) organization provides analytical support across all major operational areas of the company. This Sr. Data Analyst position is part of the Operations Analytics organization's Tech Ops (TOP) Resource Planning team, which performs analysis of key operational and strategic staffing metrics to support operational and financial performance. Some examples of projects include: Development of predicative models and forecasts to proactively communicate required TOP staffing need in coordination with several cross-functional TOP departments Analysis of resource utilization and identification of more optimalefficient solutions Reporting associated with the implementation of resource planning initiatives Analysis of current trends in TOP resource planning The Sr. Data Analyst will be expected to be able to accomplish the following types of specific tasks to complete the above projects: Locate and extract data from a variety of sources for use in analysis, models and project development Locate and develop new data sources andor basic analytical models and projects Aggregate views of data sources into meaningful hierarchies Develop complex reports and analyses with direction from leaders Support complex process improvement and project management engagements for both individual business units and cross-divisional initiatives Present findings to Operations Analytics and business unit leaders, including senior executives Practice safety-conscious behaviors in all operational processes and procedures Benefits and Perks to Help You Keep ClimbingOur culture is rooted in a shared dedication to living our values - Care, Integrity, Resilience, Servant Leadership, and Teamwork - every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way: Competitive salary, industry-leading profit sharing program, and performance incentives 401(k) with generous company contributions up to 9% Paid time off including vacation, holidays, paid personal time, maternity and parental leave Comprehensive health benefits including medical, dental, vision, shortlong term disability and life benefits Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health Domestic and International space-available flight privileges for employees and eligible family members Career development programs to achieve your long-term career goals World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies Recognition rewards and awards through the platform Unstoppable Together Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare What you need to succeed (minimum qualifications) SQL, SAS, Python, R, Tableau, Excel, and PowerPoint Statistical analysis and modeling including Linear Regression, Segmentation, non-linear predictive (e.g. logistic) regression and machine learning Must be comfortable working in group and individual settings and frequently presenting to leaders. Track record of seeking leadership roles including student and community organizations. 3+ years of experience in analysis, information science, data visualization, or other relevant quantitative field required. Consistently prioritizes safety and security of self, others, and personal data. Embraces diverse people, thinking, and styles. Possesses a high school diploma, GED, or high school equivalency. Is at least 18 years of age and has authorization to work in the United States. What will give you a competitive edge (preferred qualifications) Bachelor's degree in Engineering, Computer Science, Information Science, BusinessManagement, MathematicsStatistics, Economics or other relevant quantitative field required and 3+ years of experience in analysis, information science, data visualization, or another relevant field. Previous airline experience preferred. Previous Tech Ops (TOP) experience preferred.

Created: 2025-03-03