Airport BI Engineer at City of Atlanta in Hapeville, GA

Airport BI Engineer

Location: Hapeville, GA, United States

General Description and Classification Standards:

The Airport BI Engineer, within the Enterprise Data Services (EDS) team of the Office of Technology and Digital Experience (TDE), will lead efforts in researching, designing, and implementing data-driven solutions for the Department of Aviation (DOA). This role focuses on creating visually compelling and actionable insights through Power BI and leveraging the Microsoft Power Platform suite to streamline processes, improve efficiency, and enable informed decision-making across the organization. The engineer will support the airport’s AI roadmap and enterprise data initiatives by building governed data models, analytics products, and automated workflows that make trusted data available for reporting, automation, and AI use cases. The engineer will work collaboratively with the EDS team and DOA stakeholders to define and deploy Analytics, Data Reporting, and Dashboarding solutions, fostering a culture of operational excellence and data storytelling.

The role includes contributing to all phases of Business Intelligence projects, from requirements gathering and design to testing and deployment. This position requires expertise in BI methodologies and proficiency with the Microsoft Power BI stack and other Power Platform tools, along with an understanding of data governance, data quality, and the responsible use of AI-enabled analytics.

Essential Duties and Responsibilities:

These are typical responsibilities for this position and should not be construed as exclusive or all inclusive.

Research and Design

• Researches, designs, and implements BI and Power Platform solutions, ensuring alignment with organizational goals, priorities, and the enterprise AI roadmap and data strategy.
• Collaborates with stakeholders to define BI and Power Platform project requirements, metrics, and success criteria.
• Identifies and documents analytics and AI-ready data use cases, such as passenger flow, wait-time, and operational performance reporting, and helps prioritize them within the EDS portfolio.

Development and Deployment

• Creates, maintains, and optimizes visually compelling Power BI dashboards, reports, and governed semantic data models.
• Develops solutions using the Microsoft Power Platform suite, including Power Apps, Power Automate, and Power BI, to automate workflows, build custom applications, and enhance data analysis capabilities.
• Partners with business teams to define analytics requirements and deliver actionable insights.
• Implements data transformation processes, designs robust data pipelines, and integrates Power Platform tools with the enterprise data platform to support reporting and operational needs.
• Develops reusable, certified datasets and data products that serve as trusted sources for reporting, self-service analytics, and AI applications.

Analysis and Insights

• Conducts advanced data analysis, predictive modeling, and statistical techniques to derive actionable insights.
• Analyzes, manipulates, and processes large datasets using Power Query and other appropriate tools.
• Identifies opportunities to collect, mine, and analyze data to drive operational improvements.
• Applies AI-enabled analytics and generative AI features responsibly to accelerate insight development, validating outputs for accuracy before they are published.

AI Roadmap and Data Initiative Support

• Supports delivery of the AI roadmap by preparing, validating, and publishing the data and reporting needed for AI, automation, and intelligent passenger management use cases.
• Builds dashboards and reports that track adoption, benefits realized, and platform usage for AI and analytics initiatives, for EDS leadership and the Chief Data Officer.
• Uses AI-assisted development tools to accelerate BI and Power Platform development in accordance with EDS standards and AI governance policies.
• Supports enterprise data initiatives, including data cataloging, lineage, data quality monitoring, and master and reference data alignment.

Microsoft Power Platform Integration

• Builds custom applications using Power Apps to address specific operational needs, ensuring seamless integration with other systems.
• Automates and streamlines workflows using Power Automate to improve efficiency and reduce manual processes.
• Integrates Power BI with other Microsoft tools and services (e.g., SharePoint, Teams, Dynamics 365) to enhance collaboration and reporting.

Documentation and Compliance

• Maintains comprehensive documentation, including data model schemas, architecture diagrams, Power Platform workflows, reporting specifications, and data flow documentation.
• Ensures compliance with established data standards, governance principles, and architecture guidelines set by EDS.
• Applies security controls, such as role-based and row-level security, and follows handling requirements for Sensitive Security Information (SSI), Controlled Unclassified Information (CUI), personally identifiable information (PII), and critical infrastructure data.

Collaboration and Culture

• Fosters a data-driven culture by promoting the use of BI tools, Power Platform solutions, and storytelling to share insights.
• Trains and mentors stakeholders on Power BI and Power Platform capabilities, including data visualization, workflow automation, and responsible use of AI-enabled analytics.

Continuous Improvement and Emerging Technology

• Stays current with emerging technologies, Power Platform best practices, and industry trends to enhance the DOA’s analytical and operational capabilities.
• Recommends and implements data-driven solutions that improve budgeting, staffing, marketing, and other operational decisions.

Support and Leadership

• Collaborates with EDS and other teams to ensure data availability, quality, and consistency.
• Contributes to all phases of BI and Power Platform project lifecycles, including testing, validation, and deployment.
• Drives continuous improvement by exploring new uses for existing data and developing new processes or solutions using the Power Platform suite.

Additional Duties

• Perform additional duties as assigned to support departmental goals and objectives.

The above statements reflect the general duties, responsibilities and competencies considered necessary to perform the essential duties and responsibilities of the job and should not be considered as a detailed description of all the work requirements of the position. COA may change the specific job duties with or without prior notice based on the needs of the organization.

Knowledge Skills and Abilities:

This is a partial listing of necessary knowledge, skills, and abilities required to perform the job successfully, it is not an exhaustive list.

Technical Expertise:

• Proficiency in Microsoft Power BI and Tableau.
• Strong grasp of BI methodologies and implementation techniques.
• Familiarity with data modeling, visualization, and reporting best practices.
• Working knowledge of SQL, Power Query, and cloud data platforms and data integration tools.

Analytical Skills:

• Ability to identify and solve complex data problems.
• Expertise in transforming raw data into actionable insights.
• Working knowledge of predictive modeling and AI-enabled analytics, including validating outputs for accuracy and bias.

Data Governance and Security:

• Understanding of data governance, data quality, and metadata management practices.
• Knowledge of data security and privacy requirements, including the handling of SSI, CUI, and PII.

Collaboration and Communication:

• Ability to build partnerships across internal and external stakeholders.
• Strong communication and presentation skills to convey technical concepts to non-technical audiences.

Project Management:

• Experience in managing end-to-end BI projects.
• Ability to prioritize and manage multiple tasks effectively.

Work Environment:

Typical office setting

Lifting Requirements:

Sedentary work: Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body.

It is the policy of the City of Atlanta (“COA”) that qualified individuals with disabilities are not discriminated against because of their disabilities regarding job application procedures, hiring, and other terms and conditions of employment. It is further the policy of the COA to provide reasonable accommodations to qualified individuals with disabilities in all aspects of the employment process. The COA is prepared to modify or adjust the job application process or the job or work environment to make reasonable accommodations to the known physical or mental limitations of the applicant or employee to enable the applicant or employee to be considered for the position he or she desires, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If reasonable accommodation is needed, please contact the Human Resources Director for your department.

The City of Atlanta is an Equal Opportunity Employer and does not unlawfully discriminate on the basis of race, color, religion, age, disability, sex, sexual orientation, ender identity, marital status, veteran’s status or national origin, or any other basis prohibited by federal, state, or local law. We value and encourage diversity in our workforce.

Minimum Qualifications:

Education and Experience

1. Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. Equivalent work experience can be substituted for educational requirements.
2. Three (3) years of experience in data analysis and visualization.
3. Proven track record of implementing BI solutions in large, complex organizations.

Preferred Requirements –

1. A Master’s or Ph.D. in Data Science, Statistics, Computer Science, or related field.
2. Experience with the Microsoft Power Platform, data governance practices, and AI/ML or generative AI analytics. Microsoft certifications such as PL-300 (Power BI Data Analyst) or DP-600 (Fabric Analytics Engineer) are preferred.
3. Aviation, transportation, or public sector experience.