1541 Data Cloud Solutions Engineer jobs in Chicago,IL

VP, Enterprise Fraud Analytics & Reporting

Synchrony Financial

Chicago, IL 60695

7-10 years hands on experience building and managing comprehensive data infrastructure serving a wide base of constituents focusing on Management Reporting, Strategy and Analysis, and Operational Performance Management.
5+ years of hands-on SAS experience.
Strong SQL skills and experience working with large datasets in enterprise environments.
Minimum 5+ years of experience in Financial Services, with a focus on Fraud detection, prevention, and investigation.
Demonstrated experience working in a fast-paced environment with shifting priorities and tight timelines.
Ability to design, support, and optimize complex end-to-end flows (multi-step dependencies, upstream/downstream integrations, SLA management, reruns/recovery procedures).
Strong understanding of KPI's and ability to tell effective stories connecting KPI trends to business drivers.
Advanced dashboarding skills and experience in using Tableau or Sas Visual Analytics
Ability and flexibility to travel for business as required
You must be 18 years or older
You must have a high school diploma or equivalent
You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process
You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.
Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.

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.