Data Analytics Manager

United Airlines•Chicago, IL

9h•$112,480 - $146,540

About The Position

The Data Analytics Manager leads the development and delivery of data products, analytics solutions, and AI/ML-enabled capabilities that drive measurable business outcomes. The role partners with business, product, technology, and operational stakeholders to identify opportunities, define requirements, and deliver scalable solutions that improve operational performance, decision-making, and organizational effectiveness. The manager connects data, analytics, and technology capabilities to business and operational objectives, translating complex challenges into actionable analytics, automation, and AI/ML-driven solutions. The role leads scalable enterprise data products and analytics workstreams, supports data quality and governance, and mentors analysts and technical professionals while promoting data-driven decision-making and continuous improvement.

Requirements

Bachelor's degree in Mathematics, Computer Science, Information Management, or Statistics.
At least 4 years of experience in roles such as Data Analyst or Business Intelligence Developer.
Strong data integration skills across siloed systems and data sources.
Expertise in creating BI dashboards using tools such as Power BI and Spotfire.
Advanced proficiency in SQL and data modeling.
Ability to gather, clarify, and translate business requirements into actionable data and analytics solutions.
Demonstrated ability to use data and analytical methods to solve real-world business problems.
Experience leveraging AI, machine learning, and automation technologies to improve analytics, operational efficiency, and business decision-making.
Ability to communicate complex technical concepts and analytical findings to technical and non-technical audiences.
Must be legally authorized to work in the United States for any employer without sponsorship.
Successful completion of an interview is required to meet job qualifications.
Reliable, punctual attendance is an essential function of the position.

Nice To Haves

Master's degree.
Background in the airline industry.
Proficiency in developing self-service dashboards with Power BI and Spotfire.
Relevant certifications such as AWS Certified AI Practitioner (AIF-C01), AWS Certified Cloud Practitioner (CLF-C02), or equivalent AI and cloud certifications.
Experience with AWS services such as Redshift, Athena, and Aurora.
Exposure to programming and data processing languages such as Python, Spark, and R.
Experience leveraging generative AI, machine learning, or intelligent automation to improve business processes and decision-making.
Experience with enterprise analytics platforms, cloud data technologies, and AI-enabled data solutions.
Experience developing data products, self-service capabilities, and analytics solutions that drive measurable business outcomes.
Experience working with large-scale operational, customer, or real-time data environments.

Responsibilities

Develop and deliver data products, self-service capabilities, and analytics solutions that drive measurable business outcomes.
Partner with stakeholders to define requirements, KPIs, and success measures.
Ensure the quality, integrity, and governance of enterprise data used for analytics and decision-making.
Identify opportunities to use AI/ML, automation, and advanced analytics to improve business processes and operational performance.
Evaluate and adopt emerging technologies that create measurable value.
Align priorities and deliver solutions in partnership with business, product, technology, and operational teams.
Translate complex technical concepts and analytical findings into actionable recommendations for technical and non-technical audiences.
Lead cross-functional initiatives that drive organizational outcomes.
Lead the design and delivery of scalable analytics, AI/ML, and data solutions across enterprise platforms.
Mentor analysts and technical professionals and promote data-driven decision-making and continuous improvement.