> Markdown version of [/jobs/ext/1502500-principal-data-analyst](https://www.wearedevelopers.com/jobs/ext/1502500-principal-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # PRINCIPAL DATA ANALYST - **Company:** The City Of Chicago - **Location:** Chicago, IL, United States - **Experience:** Experienced - **Salary:** $99,480.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Information Systems, Data Validation, Data Governance, Extract Transform Load (ETL), Data Retrieval, Data Systems, Data Visualization, Relational Databases, R (Programming Language), Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Apache Spark, Information Technology, Data Analytics, Data Management - **Published:** July 30, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17746207?backUrl=%2Fcareer%2F17746207%2FPrincipal-Data-Analyst-Illinois-Chicago ## About the Role Graduation from an accredited college with an Associate's degree in Computer Science, Information Systems, Business, or a directly related field, plus two (2) years of data analysis work experience. OR Graduation from an accredited college with a Bachelor's degree or higher in Computer Science, Information Systems, Business, or a directly related field, plus one (1) year of data analysis work experience. OR Four (4) years of work experience in data analysis., * 5 or more years of experience in data analytics. * Experience with BI tools (Tableau, Power BI or AWS Quick sight). * Experience developing and managing ETL pipelines. * Strong understanding of Data Governance * Advanced proficiency in SQL, Python, R, or Spark). ## Description Under general supervision, identifies captures, analyzes, and manages data contributing to better decision-making and planning; bridges complex datasets with executive decision-making and performs related duties as required. Essential Duties: * Works independently with varying teams to determine how data analysis can support organizational goals. * Gathers data to support recommendations to address problems, with appropriate contingency plans. * Develop recommendations for resolution of problems and reviews recommendations with the team. * Understands and apply information and data analysis requirements. * Turns information into insights to support and enable key decisions and business processes. * Supports information governance in conjunction with Architects and Data Stewards. * Designs, creates, and maintains relational databases and data systems of moderate to high complexity. * Works with open datasets, including populating and extracting data from internal and public open datasets. * Performs data analysis, including conceptualization, modeling, and presentation of data. * Performs a variety of technical tasks related to capturing, managing, and analyzing data. * Cleans and prunes data to discard irrelevant information. * Designs reporting dashboards to translate data into an understandable illustrative format and fulfills ad hoc reporting requests. * Develop procedures for data validation, analysis, and presentation. * Performs initial data exploration (e.g., binning, pivoting, summarizing, and finding correlations). * Implement statistical models to identify and reveal trends, patterns, and relationships in data to provide guidance to others for decision-making processes. * Actively suggests analytics opportunities and best practices. * Catalogs and enables access to resident and external data sources. * Helps to streamline analytics to go from experimentation into production. * Supports innovative efforts by driving creativity, acting with agility, and thinking outside current boundaries. * May create data visualizations and reports to present to audiences using presentation layer tools. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)