Data Analyst job at Denver Regional Council of Governments - DRCOG in Denver, CO

Data Analyst

Employer

Denver Regional Council of Governments

Salary

See Position Description

Location

CO 80202, CO

Job Type

Full-time

Remote Employment

Flexible/Hybrid

Job Number

2026-06

Department

Regional Planning and Development

Summary

The hiring salary range for this position is $5,716.66 - $7,146.72month or $2,858.33 - $3,573.36/semi-monthly depending on qualifications.

The Denver Regional Council of Governments (DRCOG) is hiring a Data Analyst position to join the Data Science and Analytics Team. This position will be integral to DRCOG data analysis and forecasting work and will be tasked with helping to improve the quality of data products developed and maintained by the Data Science and Analytics Team as well as enhance the capacity for the team to produce and share new and innovative data visualization products. The Data Science and Analytics Team works primarily in Python; however, other coding languages as well as data visualization and GIS skills will be an asset.

DRCOG serves as a visionary leader along Colorado’s front range. We tackle the BIG issues, like growth and development, transportation and meeting the needs of older adults. Our success is built on, and defined by, long-standing partnerships and serving as a forum for discussing these and other emerging issues in an effort to collectively find innovative solutions. DRCOG is a Regional Planning Commission per Colorado state statute, is the federally designated Area Agency on Aging (AAA), and the Metropolitan Planning Organization (MPO) for the Denver region. Our culture and values fuel and inform the work we do, and employees are rewarded with competitive compensation, generous benefits and an adaptable work environment. Sound like a good fit? We’d love to meet you!

*This position is eligible for alternate work arrangements that may include flexible schedules and/or working remotely up to three days a week within Colorado*

Description of Work

This class specification represents only the core areas of responsibilities; specific position assignments will vary depending on the needs of the Division.

DATA ANALYSIS: Organizes and maintains inputs to and outputs from various internal data systems; wrangles disparate data; explores data and prepares it for analysis; investigates appropriate data for specific uses; improves and cleans data; assists with development of data pipelines and data system architecture; safeguards protected and other confidential information; applies statistical, spatial and other analytical techniques to discover quantitative insights from data.

VISUALIZATION AND REPORTING: Visualizes data through graphs, charts, tables, and maps to help examine and present data as easy-to-interpret information; recommends appropriate visualization methods based on the audience and intended use; creates and maintains dashboards and other interactive visualizations that serve information to internal and external audiences; works with technical teams to incorporate dynamic webmaps into story-telling. Reviews agency publications to ensure accuracy, consistency and replicability; generates custom and routine reports; works with subject matter experts to determine what data and analysis supports certain messages and ensures that data is used appropriately for story-telling and case-making.

DOCUMENTATION: Documents methodology for performing calculations and taking measurements required for reporting to ensure exact replication; maintains data sheets and citations for all reports so that they can be validated and reproduced; tracks evolving needs across teams for reporting and provides recommendations.

Performs other duties of a similar nature and level as assigned.

Knowledge, Skills and Abilities

Principles and methods of qualitative and quantitative research

Principles of statistics

Principles of data visualization

Effective communication techniques

Familiarity with data in one or more of the following areas desired: public demographic (census), land use, real estate, economic and/or transportation-related spatial and tabular data

Attention to detail; ability to follow documented processes for repeatable results

Professional verbal and written communication tailored to technical and non-technical audiences

Critical thinking, using logic and reason to solve problems

Exceptional customer service and building rapport

Adapting to changing needs including learning new techniques, software and scripting languages

Collaborating with a team and project or task stakeholders

Using at least one programming language proficiently (e.g., SAS, R, Python) for data cleaning, management, and analysis (Python preferred)

Accessing data from a variety of locations, sources, and file formats (e.g. relational databases, flat files, application programming interfaces)

Compiling, organizing, and standardizing disparate data

Using business intelligence tools and interactive visualization platforms

Education and Experience

Bachelor’s degr