Data Analytics Manager

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