Overview
On Site
$55 - $65 hourly
Contract - W2
Contract - Temp
Skills
SAP SCM
Organizational Skills
Data Collection
SAP BI
SAP ECC
SAP HANA
SAP ABAP
Data Extraction
Data Quality
Data Validation
Scripting
Data Integration
Customer Relationship Management (CRM)
Data Cleansing
Programming Languages
Data Wrangling
Python
R
SQL
Database
Data Visualization
Tableau
Microsoft Power BI
Conflict Resolution
Problem Solving
Attention To Detail
Communication
Documentation
SAP
SAP BODS
SAP Cloud
Artificial Intelligence
Messaging
Job Details
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:
* Data Collection: Gather raw data from multiple data sources, including databases, APIs, and external sources
* Extract data from various SAP modules such as SAP HANA, SAP BW, SAP ECC, and SAP S/4HANA
* Utilize tools like SAP Data Services, SAP HANA Smart Data Integration, or custom ABAP programs for data extraction
* Data Cleaning: Identify and rectify errors, inconsistencies, and missing data to ensure data quality
* Handle missing, duplicate, and inconsistent data arising from different SAP modules
* Use SAP Data Services or custom scripts to automate the data cleaning process and ensure data accuracy
* Data Structuring: Convert raw data into structured formats suitable for analysis, such as tables, databases, or dataframes
* Data Enrichment: Integrate additional relevant information to enhance datasets and provide more context
* Data Validation: Conduct rigorous checks to verify the accuracy and integrity of the data
* Use Data Validation tools within SAP Data Services or custom validation scripts to verify the quality of the transformed data
* Data Transformation: Normalize, aggregate, and transform data to meet analysis requirements, creating new variables or features as necessary
* Handle missing, duplicate, and inconsistent data arising from different SAP modules
* Use SAP Data Services or custom scripts to automate the data cleaning process and ensure data accuracy
* Data Integration: Integrate SAP data with non-SAP external systems or data sources (e.g., combining SAP transactional data with CRM data)
REQUIREMENTS:
* Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
* Proven experience in data wrangling, data cleaning, and data transformation
* Proficiency in programming languages commonly used for data wrangling, such as Python or R
* Strong knowledge of SQL for database querying and manipulation
* Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus
* Excellent problem-solving skills and attention to detail
* Ability to work both independently and collaboratively in a team environment
* Strong communication and documentation skills
Preferred experience in SAP Solutions including:
* SAP Data Services
* SAP HANA
* SAP BW/4HANA
* SAP BusinessObjects
* 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.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
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:
* Data Collection: Gather raw data from multiple data sources, including databases, APIs, and external sources
* Extract data from various SAP modules such as SAP HANA, SAP BW, SAP ECC, and SAP S/4HANA
* Utilize tools like SAP Data Services, SAP HANA Smart Data Integration, or custom ABAP programs for data extraction
* Data Cleaning: Identify and rectify errors, inconsistencies, and missing data to ensure data quality
* Handle missing, duplicate, and inconsistent data arising from different SAP modules
* Use SAP Data Services or custom scripts to automate the data cleaning process and ensure data accuracy
* Data Structuring: Convert raw data into structured formats suitable for analysis, such as tables, databases, or dataframes
* Data Enrichment: Integrate additional relevant information to enhance datasets and provide more context
* Data Validation: Conduct rigorous checks to verify the accuracy and integrity of the data
* Use Data Validation tools within SAP Data Services or custom validation scripts to verify the quality of the transformed data
* Data Transformation: Normalize, aggregate, and transform data to meet analysis requirements, creating new variables or features as necessary
* Handle missing, duplicate, and inconsistent data arising from different SAP modules
* Use SAP Data Services or custom scripts to automate the data cleaning process and ensure data accuracy
* Data Integration: Integrate SAP data with non-SAP external systems or data sources (e.g., combining SAP transactional data with CRM data)
REQUIREMENTS:
* Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
* Proven experience in data wrangling, data cleaning, and data transformation
* Proficiency in programming languages commonly used for data wrangling, such as Python or R
* Strong knowledge of SQL for database querying and manipulation
* Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus
* Excellent problem-solving skills and attention to detail
* Ability to work both independently and collaboratively in a team environment
* Strong communication and documentation skills
Preferred experience in SAP Solutions including:
* SAP Data Services
* SAP HANA
* SAP BW/4HANA
* SAP BusinessObjects
* 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.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.