2562 Quantitative Model Validation Analyst jobs in Chicago,IL

Quantitative Researcher - Private Investments

Selby Jennings

Chicago, IL 60290

WORLDPAC

Oak Brook, IL 60523

Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Information Technology, Business Administration, or a related field.
5 - 7 years of experience as a Data Analyst, BI Analyst, or similar analytics-focused role.
Strong SQL skills with hands-on experience querying cloud data warehouses (Snowflake strongly preferred).
Demonstrated advanced/expert level experience building dashboards and reports using Power BI, including use of semantic models and Microsoft Fabric.
Experience defining and validating KPIs and business metrics.
Solid understanding of descriptive and basic inferential statistics for business analysis.
Advanced Excel for analysis and modeling.
Understanding data governance, metric standardization, and data quality concepts.
Experience working in agile analytics or BI environments using Jira and Confluence, ServiceNow and/or similar tools.
Strong analytical thinking, attention to detail, and problem-solving skills.
Excellent written and verbal communication skills, with the ability to convey insights clearly to non-technical audiences.

Eliassen Group

Chicago, IL 60290

Covista

Chicago, IL 60290

Bachelor's Degree in Computer Science, Engineering or Information Systems. Required
Two (2) years Proficient BI developer with developing BI reports and Dashboards in Power BI Required.
Five (5) years overall in BI-related experience.
Three (3) years SQL experience with Relational Database Management Systems (RDBMS).
Experience with the Agile Methodology.
Experience in data modeling and entity relationship diagram conventions and various data modeling patterns.
Experience using cloud technologies such as Snowflake and AWS..
Knowledge in performing data manipulation using Dataflows, Power Query and DAX calculations using Power BI.
Understanding and application of BI technologies, including security, portal settings, data connection settings, refresh frequencies, interaction with data sources, etc.
Strong visualization skills with proven ability to utilize the full functionality of Power BI or similar BI tools.