Job Title: SAP Data Analyst
Location: Remote
Duration: Long-term
Location: Remote
Duration: Long-term
Company Overview:
Pulivarthi Group is a premier global provider of staffing and IT technology solutions, renowned for delivering exceptional services tailored to each client's unique needs. With a steadfast commitment to excellence, we merge expertise with innovation, ensuring cost-effective solutions of the highest quality. Our diverse client base spans healthcare, finance, government, and beyond, reflecting our adaptability and proficiency across industries. Operating in the United States, Canada, and Mexico, we pride ourselves on aligning with clients' cultures, deploying top-tier talent, and utilizing cutting-edge technologies. Pulivarthi Group stands as a beacon of reliability, efficiency, and innovation in the realm of staffing solutions.
Pulivarthi Group is a premier global provider of staffing and IT technology solutions, renowned for delivering exceptional services tailored to each client's unique needs. With a steadfast commitment to excellence, we merge expertise with innovation, ensuring cost-effective solutions of the highest quality. Our diverse client base spans healthcare, finance, government, and beyond, reflecting our adaptability and proficiency across industries. Operating in the United States, Canada, and Mexico, we pride ourselves on aligning with clients' cultures, deploying top-tier talent, and utilizing cutting-edge technologies. Pulivarthi Group stands as a beacon of reliability, efficiency, and innovation in the realm of staffing solutions.
Job Overview/Summary:
We are seeking a highly motivated and skilled SAP Data Analyst to join our dynamic team. The successful candidate will be responsible for managing and analyzing large datasets related to SAP finished goods, raw materials, and BOMs (Bill of Materials). This role requires a strategic thinker with strong technical skills and the ability to adapt to a fast-paced, evolving environment.
We are seeking a highly motivated and skilled SAP Data Analyst to join our dynamic team. The successful candidate will be responsible for managing and analyzing large datasets related to SAP finished goods, raw materials, and BOMs (Bill of Materials). This role requires a strategic thinker with strong technical skills and the ability to adapt to a fast-paced, evolving environment.
Responsibilities:
Demonstrate strong proficiency in SAP finished good, raw material management, and BOMs.
Identify, correct, and remove errors, inconsistencies, gaps, and redundancies from large datasets.
Reconcile and harmonize disparate sets of related data for integration into a single system.
Support systems integration and cutover processes.
Follow data governance programs to maintain data consistency and integrity.
Manage large data sets while maintaining proper version control.
Compare and analyze data meticulously for long periods.
Drive projects to completion with a results-oriented approach.
Communicate effectively both in writing and verbally.
Demonstrate strong proficiency in SAP finished good, raw material management, and BOMs.
Identify, correct, and remove errors, inconsistencies, gaps, and redundancies from large datasets.
Reconcile and harmonize disparate sets of related data for integration into a single system.
Support systems integration and cutover processes.
Follow data governance programs to maintain data consistency and integrity.
Manage large data sets while maintaining proper version control.
Compare and analyze data meticulously for long periods.
Drive projects to completion with a results-oriented approach.
Communicate effectively both in writing and verbally.
Primary Skills:
Proficiency in SAP finished good and raw material management.
Experience in managing and analyzing BOMs.
Strong data reconciliation and harmonization skills.
Ability to manage large datasets with attention to detail.
Excellent written and oral communication skills.
Proficiency in SAP finished good and raw material management.
Experience in managing and analyzing BOMs.
Strong data reconciliation and harmonization skills.
Ability to manage large datasets with attention to detail.
Excellent written and oral communication skills.
Secondary Skills (Good to Have):
Experience with systems integration and cutover processes.
Understanding of data governance programs.
Experience in Consumer Packaged Goods (CPG) industry.
Experience with systems integration and cutover processes.
Understanding of data governance programs.
Experience in Consumer Packaged Goods (CPG) industry.
Qualifications:
Bachelor’s Degree in Computer Science, Information Systems, or equivalent experience.
Demonstrated experience in identifying, correcting, and removing data errors and inconsistencies.
Proven ability to manage large datasets with proper version control.
Experience in reconciling and integrating disparate data sets.
Meticulous attention to detail and ability to work on data comparison for extended periods.
Results-oriented with a demonstrated ability to bring projects to completion.
Bachelor’s Degree in Computer Science, Information Systems, or equivalent experience.
Demonstrated experience in identifying, correcting, and removing data errors and inconsistencies.
Proven ability to manage large datasets with proper version control.
Experience in reconciling and integrating disparate data sets.
Meticulous attention to detail and ability to work on data comparison for extended periods.
Results-oriented with a demonstrated ability to bring projects to completion.
Equal Opportunity Statement:
Pulivarthi Group is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive culture and celebrate authenticity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics.
Pulivarthi Group is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive culture and celebrate authenticity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics.
