Goodwill Industries of Arkansas

BUSINESS SYSTEM DATA ANALYST

Goodwill Industries of Arkansas · Little Rock, Arkansas, United States · $56K/yr

Philanthropic Fundraising Services · 501-1,000 employees

20 h ago
Mid (2-5 yrs) Full-time United States
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About the role

Design and deliver data modeling and analysis services to enhance business processes and mine systems for knowledge. Build and maintain data support tools, scalable pipelines, and electronic corporate record systems.

What they look for

Data Mining Statistical Reporting Data Analysis SQL Power BI SPSS Data Modeling Data Pipelines Data Visualization Records Management Project Management Critical Thinking Communication Skills Case Management Tools Spreadsheet Database Management

Requirements

Requires a Bachelor's degree and at least 3 years of related experience in data management and statistical analysis. Proficiency in SQL, Power BI, SPSS, and Microsoft Office is essential.

Full description

Job DetailsLevel: ExperiencedJob Location: 5285 7400 Scott Hamilton Dr - Little Rock, AR 72209Position Type: Full TimeSalary Range: $27.00 HourlyJob Shift: DayJob Description

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.

Essential Duties and Responsibilities

1. Data mining, statistical reporting and data analysis.

2. Interpret data, analyze results using statistical techniques and provide ongoing reports.

3. Develop and maintain scalable data pipelines to facilitate analyzing and organizing raw data and prepare it for prescriptive and predictive modeling.

4. Collaborate with data owners and department managers and respond to specific data requests.

5. Design visualizations to identify and interpret data trends and patterns.

6. Develop analytical tools and programs.

7. Develop and maintain data integration components such as SQL queries, stored procedures, data extraction and cleansing, and integration with system front end components.

8. Ensure data access, consistency, integrity and accuracy.

9. Protection and integrity of data assets.

10. Collaborate with database and disaster recovery administration.

11. Data quality assurance.

12. Standardize data management throughout the enterprise.

13. Develop strategies for records management throughout the enterprise including storage, security, longevity, and ongoing preservation.

14. Enhance access to electronic records by internal and external stakeholders.

15. Develop and execute plans for record retention.QualificationsQualifications

To perform this job successfully, an individual must be able to perform each essential duty mentioned satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Education

Bachelor's

Experience

 3 years related experience and/or training.

Skills

- 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

Additional Information

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.