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Use left and right arrow keys to navigate
Hours Full-time, Part-time
Location Spartanburg, SC
Spartanburg, South Carolina

About this job

Job Summary:

This position reports to the Manager of Data Analytics and, is responsible to partner with business users and corporate IT to provide expertise to acquire, manage, manipulate, and analyze data and report results including daily operations related tasks, data capture tasks, and data presentation tasks. This will include items such as ensuring data quality, identifying and resolving issues with data of a logical or mathematical nature, identification of trends in large datasets, development of data repositories to share information with analysts and report generators as well as develop automation and self-service capabilities and other duties as assigned. This position requires adaptability and willingness to complete tasks to benefit the department and company as a whole.

Job Responsibilities:
  • Analyze customer and financial data across multiple POS systems and suggest explanations for shifts in trends
  • Learn terms / usage of technical skills related to Tableau, SAS, ETL tools, other implemented software packages
  • Test, run and maintain software systems such as SAS 9.4, Tableau 9.0, MS Office Suite
Take an active part in improving processes regarding automation of SAS programs, quality control, self-service portals, and delivery of information across the enterprise

Job Authority:

Supervision Exercised: None
Level of Supervision Received: General direction as needed
Responsibility / Authority
  • Relationships: All levels
  • Equipment: laptop, desktop, phone, fax, scanner, etc.
  • Money:No cash handling
  • Job Requirements:

    Equivalent Education Level Required: Bachelor Degree in Information Systems, Computer Science, Mathematics or other relevant field.

    Experience Required: Familiarity with relational databases, data warehouses, data manipulation and presentation. Experience using SAS or other statistical packages are desirable for analyzing large datasets. Experience with ETL tools such as SAS DI Studio, Informatica, or Datastage. Experience in data mining techniques and procedures knowing when their use is appropriate.

    Knowledge Required: Excellent written and verbal communications skills as would be needed to communicate in person, by phone, and through email; adaptability and flexibility to changing environment; and comfortable working in a dynamic, high volume, fast-paced environment. Ability to read, write, evaluate, and apply information. Ability to interact professionally and exhibit appropriate social skills. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products. Ability to develop and maintain business relationships. The ability to communicate with people across a wide range of technical and financial knowledge. Technical expertise regarding data models and database design development. Understanding of SQL for Oracle and MS SQL Server. Knowledge of statistics, at least to the degree necessary in order to communicate easily with statisticians. Knowledge of ORACLE 12G client, SAS 9.4 (or current version) suite, Tableau 9.0, MS Office Suite, TOAD.

    Physical Requirements: Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location].

    Travel: 0-10%

    Attire: Professional attire (as required by company standards).

    Other: Must eligible to work in the USA and able to pass a background check.