Data Analytics Manager

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.<br><br>Come join us to create what’s next. Let’s define tomorrow, together.<br><br><h2>Description</h2><p><span style="font-size:14px;"><strong>Job overview and responsibilities</strong></span><br>The Data Analytics Manager leads the development and delivery of data products, analytics solutions, and AI/ML-enabled capabilities that drive measurable business outcomes. This role partners with business, product, and technology stakeholders to identify opportunities, define requirements, and deliver scalable solutions that improve operational performance, decision-making, and organizational effectiveness.</p><ul><li>Understands how data, analytics, and technology capabilities support business and operational objectives</li><li>Translates complex business challenges into actionable analytics, automation, and AI/ML-driven solutions</li><li>Leads the development of scalable data products and analytics workstreams that deliver measurable value across the enterprise</li></ul><p><strong>Areas of focus will include, but are not limited to:</strong></p><ul><li><strong>Data Products & Analytics Solutions:</strong><ul><li>Develop and deliver data products, self-service capabilities, and analytics solutions that drive measurable business outcomes</li><li>Partner with stakeholders to define requirements, KPIs, and success measures</li><li>Ensure the quality, integrity, and governance of enterprise data used for analytics and decision-making</li></ul></li><li><strong>AI/ML & Automation:</strong><ul><li>Identify opportunities to leverage AI/ML, automation, and advanced analytics to improve business processes and operational performance</li><li>Evaluate and adopt emerging technologies that create measurable value</li></ul></li><li><strong>Stakeholder Leadership:</strong><ul><li>Partner with business, product, technology, and operational teams to align priorities and deliver solutions</li><li>Translate complex technical concepts and analytical findings into actionable recommendations</li><li>Lead cross-functional initiatives that drive organizational outcomes</li></ul></li><li><strong>Technical Leadership:</strong><ul><li>Lead the design and delivery of scalable analytics, AI/ML, and data solutions across enterprise platforms</li><li>Mentor analysts and technical professionals while promoting data-driven decision-making and continuous improvement</li></ul></li></ul><h2>Qualifications</h2><p><span style="font-size:14px;"><strong>What’s needed to succeed (Minimum Qualifications):</strong></span></p><ul><li>Bachelor's Degree</li><li>Mathematics, Computer Science, Information Management, Statistics</li><li>At least 4 years of experience in roles like Data Analyst or Business Intelligence Developer</li><li>Strong data integration skills across siloed systems and data sources</li><li>Expertise in BI dashboard creation using tools such as Power BI and Spotfire to deliver insightful and visually compelling dashboards</li><li>Advanced proficiency in SQL and data modeling</li><li>Ability to gather, clarify, and translate business requirements into actionable data and analytics solutions</li><li>Demonstrated ability to use data and analytical methods to solve real-world business problems</li><li>Experience leveraging AI, machine learning, and automation technologies to improve analytics, operational efficiency, and business decision-making</li><li>Ability to communicate complex technical concepts and analytical findings to both technical and non-technical audiences</li><li>Must be legally authorized to work in the United States for any employer without sponsorship</li><li>Successful completion of interview required to meet job qualification</li><li>Reliable, punctual attendance is an essential function of the position<br> </li></ul><p><span style="font-size:14px;"><strong>What will help you propel from the pack (Preferred Qualifications):</strong></span></p><ul><li>Master's degree</li><li>Background in the airline industry</li><li>Proficiency in developing self-service dashboards with Power BI and Spotfire</li><li>Relevant certifications such as AWS Certified AI Practitioner (AIF-C01), AWS Certified Cloud Practitioner (CLF-C02), or equivalent AI and cloud certifications</li><li>Experience with AWS services like Redshift, Athena, Aurora</li><li>Exposure to programming and data processing languages like Python, Spark, R</li><li>Experience leveraging generative AI, machine learning, or intelligent automation technologies to improve business processes and decision-making</li><li>Experience with enterprise analytics platforms, cloud data technologies, and AI-enabled data solutions</li><li>Experience developing data products, self-service capabilities, and analytics solutions that drive measurable business outcomes</li><li>Experience working with large-scale operational, customer, or real-time data environments<br> </li></ul><br>The base pay range for this role is $112,480.00 to $146,540.00.<br>The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.<br><br>You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.<br><br>United Airlines is an Equal Opportunity Employer. We recruit, employ, train, compensate, and promote without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, age, veteran status, or any other protected category under applicable law. We provide reasonable accommodations for applicants and employees with disabilities. To request an accommodation, contact <a href="mailto:[email protected]" target="_blank">[email protected]</a>