BUSINESS SYSTEM DATA ANALYST

Goodwill-Industries-of-Arkansa; Base Line (AR); On-site; USD 55,000 - 85,000; Full time

Job summary

Goodwill Industries of Arkansas is seeking a full-time IT Data Analyst who designs and delivers data modeling and analysis services to mine systems and applications for knowledge and information that enhances business processes.

You will build, deploy and maintain data support tools, metadata inventories, and ensure electronic storage of corporate records in alignment with ACE culture and mission.

Qualifications

• Bachelor's degree in a related field is required.
• 3 years of related experience and/or training demonstrated.
• Experience with data entry, data management systems, programming and statistics.

Responsibilities

• Data mining, statistical reporting and data analysis.
• Interpret data, analyze results with statistical techniques and provide ongoing reports.
• Develop and maintain scalable data pipelines for prescriptive and predictive modeling.
• Collaborate with data owners and managers to fulfill specific data requests.
• Design visualizations to interpret data trends and patterns.
• Develop analytical tools and programs and maintain data integration components.

Skills

Communication

Mathematics

Critical Thinking

Contact Management

Presentation

PowerPoint

Typing

Planning

Project Management

Databases

Education

Bachelor's degree

Tools

SQL

SPSS

Power BI

Microsoft Office

Job description

Job DescriptionThis 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 Responsibilities1. 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.QualificationsTo 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.EducationBachelor'sExperience3 years related experience and/or training.SkillsCommunication SkillsMathematical SkillsCritical Thinking SkillsContact ManagementPresentation/PowerPointWord Processing/TypingSoftware DatabasesSpreadsheetDecision MakingPlanning, organizing, and project management skills.Case Management ToolsExcellent communication and presentation skills.Ability to multi-task, shift priorities, and handle high-pressure time sensitive situations.Strong interpersonal skillsHandle confidential and/or sensitive informationAble to work independentlyAdditional InformationExperience 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.