BUSINESS SYSTEM DATA ANALYST

Goodwill Industries of Arkansas•Little Rock, AR

2d•$27 - $0•Onsite

About The Position

This position is full time and will report to the Director of IT. Design and deliver data modeling and analysis services to mine systems and applications for knowledge and information that enhances business processes. Build, deploy and maintain data support tools, metadata inventories and ensure that all corporate records are stored electronically. Uphold a positive work environment that follows Goodwill's Amazing Customer Experience (ACE) culture, Values, and Mission in everything you do and every interaction you have with co-workers, clients, customers and management.

Requirements

Bachelor's degree
3 years related experience and/or training.
Communication Skills
Mathematical Skills
Critical Thinking Skills
Contact Management
Presentation/PowerPoint
Word Processing/Typing
Software Databases
Spreadsheet
Decision Making
Planning, organizing, and project management skills.
Case Management Tools
Excellent communication and presentation skills.
Ability to multi-task, shift priorities, and handle high-pressure time sensitive situations.
Strong interpersonal skills
Handle confidential and/or sensitive information
Able to work independently
Experience with data entry, data management systems, programming and statistical analysis.
Excellent oral and writing skills.
Computer skills including Microsoft Office (Word, Excel), SPSS, SQL, and Power BI.
Record keeping experience.
Experience working with confidential information.

Responsibilities

Data mining, statistical reporting and data analysis.
Interpret data, analyze results using statistical techniques and provide ongoing reports.
Develop and maintain scalable data pipelines to facilitate analyzing and organizing raw data and prepare it for prescriptive and predictive modeling.
Collaborate with data owners and department managers and respond to specific data requests.
Design visualizations to identify and interpret data trends and patterns.
Develop analytical tools and programs.
Develop and maintain data integration components such as SQL queries, stored procedures, data extraction and cleansing, and integration with system front end components.
Ensure data access, consistency, integrity and accuracy.
Protection and integrity of data assets.
Collaborate with database and disaster recovery administration.
Data quality assurance.
Standardize data management throughout the enterprise.
Develop strategies for records management throughout the enterprise including storage, security, longevity, and ongoing preservation.
Enhance access to electronic records by internal and external stakeholders.
Develop and execute plans for record retention.