Data Analyst responsible for creating and managing BI dashboards for Walmart Global Tech. Collaborating with stakeholders and utilizing advanced AI tools for data insights and reporting.
About the role
- SAS Data Analyst ensuring integrity and accessibility of banking data at Truist. Collaborating on data issues and providing analytical support for internal stakeholders.
Responsibilities
- Gather, review, analyze, profile, validate and map system data into the data warehouse to meet reporting and analytical business needs.
- Perform data analysis and troubleshooting on data-related issues reported by production support and other teams.
- Develop solutions and recommendations for improving data integrity issues.
- Analyze data issues and work with development teams for problem resolutions.
- Identify problematic areas and conduct research to determine the best course of action to correct the data, identify, analyze and interpret trends and patterns in complex datasets.
- Determine and analyze line of business requirements, use system data, and provide input needed by various departments and senior management to produce business reports.
- Work with extract, transform and load (ETL) developers to test and validate data attributes and with other business analysts to ensure data is integrated consistently, regardless of the source system.
- Work with business analysts and project teams to provide accurate documentation of data-related project and support deliverables.
- Take ownership of issues through resolution including close coordination between business analysts.
Requirements
- Bachelor's degree in information technology, information systems, computer science or business-related field
- 6 years of experience in a role of data analysis, statistical analysis, data transformation, data reconciliation and/or sophisticated data presentation or equivalent education and related training or experience
- Experience in ETL Development using standard tools
- 5+ Years of experience with SAS or any other Data analysis tools.
- Understanding of Enterprise Data Warehouse concepts and prior experience applying understanding to query data in a Very Large Database (VLDB) environment
- Familiarity in using a query analysis tool
Benefits
- medical
- dental
- vision
- life insurance
- disability
- accidental death and dismemberment
- tax-preferred savings accounts
- 401k plan
- vacation days
- sick days
- paid holidays
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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