Data Analyst

Ready to Turn Data into Impact Join the MAC Team!

Step into the fast-paced world of airports and help shape the future of passenger experiences! Were looking for a Data Analyst who loves uncovering trends and transforming numbers into powerful insights. From food and beverage to retail performance your work will drive smarter decisions boost revenue and elevate the customer journey at one of the most dynamic environmentsour airport! Youll collaborate with passionate teams leverage cutting-edge tools like Power BI and even explore predictive analytics to forecast whats next. If you thrive on innovation teamwork and making data matter this is your chance to make an impact where every insight counts. Apply today and be part of something exciting!

RELATIONSHIPS

Supervisory:Reports to Director Real Estate & Airlines Affairs

Organizational:Frequent contact with MAC IT Revenue & Business Development Staff Strategy & Stakeholder Engagement Staff and other MAC personnel

External:Frequent contact with MAC staff tenants vendors contractors and MAC consultants

JOB DUTIES

Data Analytics

• Coordinate and help prioritize data collection and analysis efforts with internal and external stakeholders.
• Analyze data and performance measures to provide actionable insights and recommendations to increase revenue streams and improve passenger experience.
• Understand the business demands of the airport concessions program and anticipate data needs. Translate business needs into functional requirements. Propose analysis and reports to meet the business objectives.
• Leverage automated anomaly detection models using analytics tools to flag data discrepancies and improve accuracy of integrated datasets.
• Partner with MAC Concession Managers to assist in holding tenants and other outside partners accountable to MAC data standards and data-related contractual obligations.
• Interact with division teams and management staff to provide data analysis and data delivery as needed.
• Act as a resource for applying machine learning and predictive analytics to KPI analysis enabling proactive business development strategies.
• Represent the division where assigned for business interests on enterprise-wide data related business process improvements.
• Identify and develop dashboards and reports to depict operational status against key performance indicators and other data initiatives.
• Use tools such as Power BI or other visualization tools to build and implement predictive analysis solutions to forecast trends and outcomes; evaluate performance and adjust as needed.
• Create and convey clear and meaningful visualizations such as charts and graphs to communicate findings to non-technical stakeholders.

Senior Level Individual Contributor (SRIC) Competencies

• Customer Focus - Building strong customer relationships and delivering customer-centric solutions.
• Manages Complexity-Making sense of complex high quantity and sometimes contradictory information to effectively solve problems.
• Decision Quality-Making good and timely decisions that keep the organization moving forward.
• Resourcefulness - Securing and deploying resources effectively and efficiently.
• Ensures Accountability - Consistently achieving results even under tough circumstances.
• Collaborates-Building partnerships and working collaboratively with others to meet shared objectives.
• Values Differences-Recognizing the value that different perspectives and cultures bring to an organization.
• Communicates Effectively-Developing and delivering multi-mode communications that convey a clear understanding of unique needs of different audiences.
• Persuades-Using compelling arguments to gain the support and commitment of others.
• Courage-Stepping up to address difficult issues saying what needs to be said.
• Instills Trust-Gaining the confidence and trust of others through honesty integrity and authenticity.
• Being Resilient-Rebounding from setbacks and adversity when facing difficult situations

MINIMUM REQUIREMENTS

• Bachelors degree in business statistics mathematics or related field.
• Four years of experience performing quantitative research and analysis.
• In lieu of a degree eight years of experience performing quantitative research and analysis.
• Excellent written and presentation communication skills.
• Advanced skill level using Microsoft Power BI Excel and PowerPoint.
• Experience with machine learning techniques (e.g. regression classification clustering time-series forecasting) for predictive analytics and business insights.
• Ability to design train and evaluate predictive models and integrate them into dashboards or reporting tools.
• Understanding data engineering concepts including ETL pipelines and handling large datasets in cloud environments (Azure AWS GCP).
• Understanding of relational databases and experience with querying languages (e.g. SQL).
• Demonstrated ability to format and lay out complex data into clean clear and concise reports and graphical presentations.
• Experience researching and analyzing complex issues and providing actionable recommendations based on analysis.
• Ability to work independently with limited work direction.
• Excellent customer service skills with strong troubleshooting research and analysis skills.
• Ability to understand and communicate technical information to the end users in an easily understood manner.
• Valid drivers license and a reliable vehicle to commute between job sites.

DESIRABLE REQUIREMENTS

• Masters degree in statistics mathematics computer science information technology or related field.
• Experience performing analysis for a large commercial environment or hub airport.
• Experience in survey design and fieldwork.
• Experience in qualitative research.
• Programming & ML Libraries: Python or R.
• AI in Business Context: Applying Machine Learning towards revenue optimization sales data and passenger experience prediction.
• Model Evaluation: Skills in cross-validation performance metrics (precision recall RMSE etc.) and model tuning.