Analyst - R01570358

Bengaluru, Karnataka

Posted 6 days ago

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Added to ZestAmigo: 3 days ago
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Where you can work

Unspecified

Locations named in the listing

Bengaluru, Karnataka, India

View location wording from the posting

Bangalore, Karnataka, India

Role overview

Extracted from the posting. Read the employer’s full description below.

What they are looking for

Assess current master data practices to identify operational risks during transformation initiatives and propose robust structural solutions
Analyze master data structures to uncover gaps, risks, and opportunities for standardization and process improvement
Implement strategies to simplify, standardize, and strengthen data processes, ensuring long-term operational resilience
Collaborate with supply chain teams including Planning, Procurement, Manufacturing, and Logistics to translate operational requirements into scalable, practical data and process designs
Validate solution designs to ensure protection of legacy ERP systems, downstream operational flows, reporting, and system integrations

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Support and execute data quality initiatives, including cleansing strategies and mapping frameworks across legacy systems
Drive continuous improvements in master data quality and support the adoption of data governance frameworks
Work closely with deployment partners to ensure operational feasibility and sustainable implementation of data solutions
Tableau for data visualization and dashboard development
SQL for data extraction, manipulation, and analysis
Python for data processing and automation tasks
Advanced Excel for data analysis and reporting
Power BI for business intelligence and reporting solutions
Experience with SAP or S/4HANA ERP systems
Data quality assessment and cleansing techniques
Data governance frameworks and data standards
Experience in supply chain management modules such as SD, MM, LE, PP, or SCM
SAP Master Data Governance (MDG) data models
Alteryx or similar data analytics tools
Experience defining and tracking KPIs, SLAs, and capacity models for master data teams
Master Data Management process improvement methodologies
Bachelor's degree in Computer Science, Information Systems, Data Analytics, Supply Chain Management, or a closely related discipline
Certification in Data Analytics, Business Intelligence, or relevant technology (such as Tableau, Power BI, or SAP)
Certification in Master Data Management or Supply Chain Analytics is an advantage

Employer description

Analyst

Job requirements

Experience Range: With at least 2 years of experience in insights analysis, including hands-on exposure to master data management and supply chain data processes Key Responsibilities:

Assess current master data practices to identify operational risks during transformation initiatives and propose robust structural solutions
Analyze master data structures to uncover gaps, risks, and opportunities for standardization and process improvement
Implement strategies to simplify, standardize, and strengthen data processes, ensuring long-term operational resilience
Collaborate with supply chain teams including Planning, Procurement, Manufacturing, and Logistics to translate operational requirements into scalable, practical data and process designs
Validate solution designs to ensure protection of legacy ERP systems, downstream operational flows, reporting, and system integrations
Support and execute data quality initiatives, including cleansing strategies and mapping frameworks across legacy systems
Drive continuous improvements in master data quality and support the adoption of data governance frameworks
Work closely with deployment partners to ensure operational feasibility and sustainable implementation of data solutions

Required Skills:

Tableau for data visualization and dashboard development
SQL for data extraction, manipulation, and analysis
Python for data processing and automation tasks
Advanced Excel for data analysis and reporting
Power BI for business intelligence and reporting solutions
Experience with SAP or S/4HANA ERP systems
Data quality assessment and cleansing techniques
Data governance frameworks and data standards

Preferred Skills:

Experience in supply chain management modules such as SD, MM, LE, PP, or SCM
SAP Master Data Governance (MDG) data models
Alteryx or similar data analytics tools
Experience defining and tracking KPIs, SLAs, and capacity models for master data teams
Master Data Management process improvement methodologies

Desired Qualifications:

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Supply Chain Management, or a closely related discipline
Certification in Data Analytics, Business Intelligence, or relevant technology (such as Tableau, Power BI, or SAP)
Certification in Master Data Management or Supply Chain Analytics is an advantage

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