Engagement Manager Advanced Analytics

Engagement Manager Advanced Analytics Remote Longterm Contract The Analytics and Innovation (Ai) team works to innovate, transform, and solve complex business problems resulting in significant and measurable enterprise impact through the application of deep cross-functional business expertise and advanced analytics. We work with business and technology partners across the enterprise (e.g., Airport Operations, Contact Centers, Network Planning, Revenue Management, Digital Products, Human Resources, etc.) to influence strategic decisions, enterprise strategy, business process, and to help connect the dots across the enterprise. We aim to be an organization with whom and within everyone loves to work Advanced Analytics experts within Ai work with business and technology partners to develop diverse solutions to complex problems that span the enterprise. Team members leverage expertise using big data, analytics, data manipulation, statistics, and modeling to drive innovation and improvement in business strategy and operations, that increase revenue, increase customer satisfaction, reduce costs, or have other measurable impact on the airline. Engagement Managers often play a lead role on projects. They are experienced individual contributors who work hands‑on with data, leveraging their expertise to provide solutions, while mentoring and collaborating with other team members as well. Responsibilities Apply data analysis, data mining, data transformation, statistical modeling, and machine learning techniques to understand and solve business problems Collaborate with analytics, technology, and business team members across the enterprise to identify opportunities and align on and deploy solutions to business problems. Manage relationships with teams external to Ai. Actively seeks opportunities to innovate by using non-traditional data and new analytics methodologies; help facilitate idea generation and share best practices and new findings with others Helps create and deliver presentations for leadership and external stakeholders. Lead or support status meetings and the frequent communication to key stakeholders at varying levels of leadership. Leads analytics projects by helping define solutions, applying basic project management techniques to distribute work among teammates, execute efficiently, and communicate to stakeholders effectively. Assists with talent acquisition process, mentors junior team members, and facilitates training as needed with reusable content and delivery of training sessions Qualifications - External Required Bachelor’s degree in a quantitative field (statistics, engineering, business analytics, information systems, aviation management or related degree) and/or equivalent work experience required 4+ years of experience in analytical role (analysis, information science, data visualization or other relevant quantitative fields) Ability to work with large datasets and/or Big Data using SQL, Python, or other database programming languages. Ability to tell a story with data using reporting and data visualization tools (e.g., Spotfire, Tableau, Microsoft BI) Proven proficiency with Microsoft Excel and PowerPoint Passionate about data analytics and visionary for how it can be applied, with strong strategic/critical thinking and problem‑solving skills to complement Strong interpersonal skills with a focus on teamwork Ability to communicate complex quantitative concepts in a clear, precise, and actionable manner, through written and verbal presentation skills. Must exhibit written and spoken English fluency. Must have high energy, be self‑motivated, and possess a positive attitude Exhibit intellectual curiosity and strive to continually learn and develop technical and soft skills Ability to put definition and structure around problems and projects Strong organization skills, and attention to detail; be adept at juggling several projects and initiatives simultaneously through appropriate prioritization Must be legally authorized to work in the United States for any employer without sponsorship Successful completion of interview required to meet job qualifications Reliable, punctual attendance is an essential function of the position Preferred Understanding of Machine Learning and/or optimization tools and techniques Understanding of Statistical tools (R, SPSS, SAS) and ability to apply concepts to derive insights Advanced Degree in Analytics or Data Science #J-18808-Ljbffr