

SAP Supply Chain Data Analyst - Enterprise Systems
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a "SAP Supply Chain Data Analyst - Enterprise Systems" in Juno Beach, FL, with a contract length of unspecified duration and a competitive pay rate. Key skills include SAP Data Services, SQL, Python, and data wrangling experience. A Bachelor's degree in a related field is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
520
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ποΈ - Date discovered
June 13, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
North Palm Beach, FL
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π§ - Skills detailed
#Computer Science #CRM (Customer Relationship Management) #Documentation #Database Querying #SAP Hana #SAP #SAP BusinessObjects #Programming #Data Analysis #AI (Artificial Intelligence) #Data Integration #Microsoft Power BI #Visualization #Tableau #Data Cleaning #BI (Business Intelligence) #ABAP (Advanced Business Application Programming) #Data Accuracy #Databases #Data Quality #Statistics #Python #Data Extraction #SQL (Structured Query Language) #Data Enrichment #Data Science #Datasets #"ETL (Extract #Transform #Load)" #R #SAP BW #Data Wrangling #Cloud
Role description
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Responsibilities
Kforce has a client that is seeking a Supply Chain Data Analyst - Enterprise Systems in Juno Beach, FL. Overview: As a SAP Supply Chain Data Analyst with Enterprise Systems, you will be responsible for the process of transforming raw data into a usable format for analysis. This role involves cleaning, organizing, and structuring data from various sources to ensure its accuracy and quality. Duties Include:
β’ Data Collection: Gather raw data from multiple data sources, including databases, APIs, and external sources
β’ Extract data from various SAP modules such as SAP HANA, SAP BW, SAP ECC, and SAP S/4HANA
β’ Utilize tools like SAP Data Services, SAP HANA Smart Data Integration, or custom ABAP programs for data extraction
β’ Data Cleaning: Identify and rectify errors, inconsistencies, and missing data to ensure data quality
β’ Handle missing, duplicate, and inconsistent data arising from different SAP modules
β’ Use SAP Data Services or custom scripts to automate the data cleaning process and ensure data accuracy
β’ Data Structuring: Convert raw data into structured formats suitable for analysis, such as tables, databases, or dataframes
β’ Data Enrichment: Integrate additional relevant information to enhance datasets and provide more context
β’ Data Validation: Conduct rigorous checks to verify the accuracy and integrity of the data
β’ Use Data Validation tools within SAP Data Services or custom validation scripts to verify the quality of the transformed data
β’ Data Transformation: Normalize, aggregate, and transform data to meet analysis requirements, creating new variables or features as necessary
β’ Handle missing, duplicate, and inconsistent data arising from different SAP modules
β’ Use SAP Data Services or custom scripts to automate the data cleaning process and ensure data accuracy
β’ Data Integration: Integrate SAP data with non-SAP external systems or data sources (e.g., combining SAP transactional data with CRM data)
Requirements
β’ Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
β’ Proven experience in data wrangling, data cleaning, and data transformation
β’ Proficiency in programming languages commonly used for data wrangling, such as Python or R
β’ Strong knowledge of SQL for database querying and manipulation
β’ Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus
β’ Excellent problem-solving skills and attention to detail
β’ Ability to work both independently and collaboratively in a team environment
β’ Strong communication and documentation skills
Preferred Experience In SAP Solutions Including
β’ SAP Data Services
β’ SAP HANA
β’ SAP BW/4HANA
β’ SAP BusinessObjects
β’ SAP Cloud Platform Integration
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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