Data Analytics Manager

Data Analytics Manager

Location Chicago, Illinois, United States This job is associated with 2 categories See allJob IdWHQ00026943Information TechnologyJob TypeFull-TimePosted Date 10/14/2026

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Description

Job overview and responsibilities

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.

Understands how data, analytics, and technology capabilities support business and operational objectives

Translates complex business challenges into actionable analytics, automation, and AI/ML-driven solutions

Leads the development of scalable data products and analytics workstreams that deliver measurable value across the enterprise

Areas of focus will include, but are not limited to:

Data Products & Analytics Solutions:

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

AI/ML & Automation:

Identify opportunities to leverage AI/ML, automation, and advanced analytics to improve business processes and operational performance

Evaluate and adopt emerging technologies that create measurable value

Stakeholder Leadership:

Partner with business, product, technology, and operational teams to align priorities and deliver solutions

Translate complex technical concepts and analytical findings into actionable recommendations

Lead cross-functional initiatives that drive organizational outcomes

Technical Leadership:

Lead the design and delivery of scalable analytics, AI/ML, and data solutions across enterprise platforms

Mentor analysts and technical professionals while promoting data-driven decision-making and continuous improvement

Qualifications

What’s needed to succeed (Minimum Qualifications):

Bachelor's Degree

Mathematics, Computer Science, Information Management, Statistics

At least 4 years of experience in roles like Data Analyst or Business Intelligence Developer

Strong data integration skills across siloed systems and data sources

Expertise in BI dashboard creation using tools such as Power BI and Spotfire to deliver insightful and visually compelling dashboards

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 both technical and non-technical audiences

Must be legally authorized to work in the United States for any employer without sponsorship

Successful completion of interview required to meet job qualification

Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):

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 like Redshift, Athena, Aurora

Exposure to programming and data processing languages like Python, Spark, R

Experience leveraging generative AI, machine learning, or intelligent automation technologies 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

The base pay range for this role is $112,480.00 to $146,540.00.

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.

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.