About Our Job

With competitive pay, great benefits, and endless opportunities, working for the City and County of Denver means seeing yourself working with purpose — for you, and those who benefit from your passion, skills and expertise. Join our diverse, inclusive and talented workforce of more than 11,000 team members who are at the heart of what makes Denver, Denver.

What We Offer

The City and County of Denver offers competitive pay commensurate with education and experience. New hires are typically brought into the organization between $88,000 - $110,000/year. We also offer generous benefits for full-time employees which include but are not limited to:

• A guaranteed life-long monthly pension, once vested after 5 years of service

• 457B Retirement Plan

• 140 hours of PTO earned within first year + 12 paid holidays, 1 personal holiday, 1 wellness day, and 1 volunteer day per year

• Competitive medical, dental and vision plans effective within 1 month of start date

Location & Schedule

The City and County of Denver supports a hybrid workplace model. Employees work where needed, at a job site several days a week and off-site as needed. Employees must work within the state of Colorado on their off-site days.   

In this position you can expect to work on site at least 3 days per week at the Denver International Airport.

Who We Are & What You’ll Do

Since opening on Feb. 28, 1995, Denver International Airport (DEN) has become one of the world’s busiest airports. In 2025, 82,427,962 passengers passed through DEN, making DEN 4th busiest airport in the U.S. and the world’s 10th busiest airport. DEN is Colorado’s primary economic engine, generating $47.2 billion in annual economic impact for the state. At DEN, we are committed to fostering a diverse, inclusive, and equitable workplace. We celebrate individuality and strive to keep Equity, Diversity, Inclusion & Accessibility (EDIA) at the center of all that we do.  

The Analytics and Innovation Team is looking for a Data Analytics Senior to join their team! In this role you will perform professional level data analytics work fulfilling data requests and performing advanced data analytics and modeling for the needs of the business and fulfilling data requests.

Specifically, as the Data Analytics Senior, you will:

• Identify analytic ideas in collaboration with team members to meet business objectives.

• Develop and deliver analytic solutions to improve efficiency and effectiveness, providing ongoing support for assigned projects.

• Provide teams with methodological assistance using data science tools, machine learning, and prompt engineering to complete data analytics for assigned projects and optimize operations.

• Make recommendations for the team's data needs and provide data analytic support for projects as needed.

• Perform data retrievals and assessments, sampling on large data sets, and identify patterns and exceptions independently.

• Design data analytics queries, tools, visualizations, and methods.

• Determine development requirements, designs, codes, tests, and analyze results to provide support using available tools and infrastructure.

• Manage relationships, development of business requirements, and communication with key stakeholders.

• Facilitate the identification of opportunities to utilize data analyses to optimize business outcomes.

• Develop innovative, reusable data analytics that can be leveraged by DEN.

• Analyze the results of data analyses performed and make recommendations for review by the data analytics supervisor on potential opportunities based on those results.

• Effectively utilize data analysis tools and methodologies, including data science, machine learning, and prompt engineering, while mentoring junior staff in their application and development.

• Engage in and support all aspects of the Agile Development Process utilized by the Operations Analytics Team.

• Perform other related duties as assigned.

What You’ll Bring

Our ideal candidate has some or all the following experience, skills, and characteristics:

• Ability to effectively document the results of data analysis in accordance with DEN policies and procedures.

• Advanced knowledge of data analytics techniques.

• Advanced knowledge of PowerBI, Data Analysis Expressions (DAX), Fabric, Notebooks, SQL. 

• Knowledge of Python, and PySpark.

• Ability in data proce