Consumer Data Analyst at Southstate Bank
United States, , USA -
Full Time


Start Date

Immediate

Expiry Date

23 Nov, 25

Salary

0.0

Posted On

23 Aug, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Sql, Computer Skills, Compliance Training, Consumer Products, Power Bi, Tableau

Industry

Information Technology/IT

Description

This job is available in 2 locations
See all
Category
Banking Operations & Support
Job Id
R-03306
Posted Date
08/22/2025
Job Type
Full time
The SouthState story is one of steady growth, deep community roots, and an unwavering commitment to helping our customers move forward. Since our beginnings in the 1930s to becoming a trusted financial partner across the South and beyond - we are known for combining personal relationships with forward-thinking solutions.
We are committed to helping our team members find their success while maintaining the integrity of our values: building trust, fostering lasting relationships and pursuing excellence. At SouthState, individual contributions are recognized, potential is cultivated and team members are inspired to achieve their greater purpose. Your future begins here!

SUMMARY / OBJECTIVES

The Data Analyst is responsible for supporting data analysis, reporting, and process improvement efforts of the Consumer Credit Administration Division. This role focuses on developing and maintaining data models, creating accurate and insightful reports, optimizing SQL queries, and delivering reports/dashboards that drive business decisions. The position requires proficiency in Snowflake, MS SQL Server, Power BI, and Excel and involves working with internal partners across the organization, including Consumer Banking, Premier Private Client Group, Consumer Loan Closing, Operations, Compliance, Risk/FIU, Human Resources, and Information Technology. The Data Analyst will assist with consumer loan–related projects, internal and external audits, data cleanup efforts, and process improvement initiatives. The role will also be responsible for gathering and validating data, building recurring and ad hoc reports, and helping maintain the integrity and accuracy of consumer loan data.

QUALIFICATIONS, EDUCATION, AND CERTIFICATION REQUIREMENTS

  • Education: Bachelor’s Degree required
  • Experience:
  • 2+ years of experience building advanced reports in Business Intelligence and Visualization tools such as Power BI, Tableau, and/or ThoughtSpot.
  • 2+ years of experience with SQL and similar database query tools.
  • Knowledge: Excellent interpersonal and computer skills; ability to manage multiple complex projects with overlapping deadlines, Strong organizational skills, careful attention to detail. Knowledge of Fiserv Premier and consumer products and services in the banking industry is a plus.

TRAINING REQUIREMENTS/CLASSES

On the job training and any additional training, as needed. Required annual compliance training.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities
  • Develop a deep understanding of consumer loan data to support reporting, analytics, process improvements, and business initiatives.
  • Create, maintain, and optimize reports and dashboards using Snowflake, MS SQL Server, Power BI, and Excel.
  • Collaborate with stakeholders and IT teams to gather requirements, design reporting solutions, and ensure alignment with business objectives.
  • Execute standard data refresh cycles and ensure data accuracy in recurring reports.
  • Assist in maintaining and improving data systems, including integrations with enterprise applications such as the Data Warehouse.
  • Produce ad hoc reports for loan-level data as requested by leadership or in response to audit and regulatory needs.
  • Participate in data cleanup efforts and process improvement projects.
  • Support system upgrades and releases through data validation, testing, and documentation.
  • Identify missing, invalid, or inconsistent data and work with business teams to resolve discrepancies.
  • Review and analyze departmental reports to identify trends, risks, or process gaps.
  • Document data sources, report logic, and business rules for consistency and repeatability.
Loading...