Revenue Analyst 1-Fin

The AI & Data Automation Specialist will be responsible for developing and implementing AI/ML-driven solutions to automate and enhance data integration, validation, and management processes. This role also involves maintaining and optimizing customer hierarchies in enterprise systems (GSI and OSC) across global regions, ensuring data accuracy, consistency, and compliance with business rules. The ideal candidate combines strong technical skills in AI and data automation with a deep understanding of customer data management processes.

Develop and implement AI and Machine Learning algorithms for automating data integration, cleaning, transformation, and loading (ETL) processes.

Leverage AI tools to enhance data quality, consistency, and integration between multiple data sources.

Design AI-driven automation tools for data validation, reporting, and decision-making workflows.

Apply machine learning models to improve data quality assessment, anomaly detection, and process optimization.

Manage customer hierarchy creation and updates in GSI and OSC systems for global markets.

Maintain customer records in Corporate Workbench , ensuring accurate parent/child hierarchy relationships.

Research customer relationships through company websites and other verified sources to create, update, or remove hierarchy links as per governance rules.

Validate and update customer addresses, DUNS numbers, and country/city/ZIP information for correct placement under the right hierarchy.

Perform duplicate reviews , approve the correct record (winner), and place it appropriately via SDD merges .

Provide first-line support for hierarchy-related requests through CRA, email, or service requests (SR).

Execute ad-hoc updates and support hierarchy data changes on demand.

Run data quality and hierarchy reports to identify discrepancies or improvement areas.

Collaborate with Sales, Support Services, and Data Governance teams on data change requests and issues.

Support User Acceptance Testing (UAT) and tool enhancement initiatives related to customer data systems.

Coordinate ongoing projects and ensure timely updates and deliverables .

Prepare daily or weekly activity and project reports as required.

Participate in meetings and conference calls with cross-functional and global teams.

Manage multiple tasks effectively and prioritize work to meet deadlines.

Develop and implement AI and Machine Learning algorithms for automating data integration, cleaning, transformation, and loading (ETL) processes.

Leverage AI tools to enhance data quality, consistency, and integration between multiple data sources.

Design AI-driven automation tools for data validation, reporting, and decision-making workflows.

Apply machine learning models to improve data quality assessment, anomaly detection, and process optimization.

Manage customer hierarchy creation and updates in GSI and OSC systems for global markets.

Maintain customer records in Corporate Workbench , ensuring accurate parent/child hierarchy relationships.

Research customer relationships through company websites and other verified sources to create, update, or remove hierarchy links as per governance rules.

Validate and update customer addresses, DUNS numbers, and country/city/ZIP information for correct placement under the right hierarchy.

Perform duplicate reviews , approve the correct record (winner), and place it appropriately via SDD merges .

Provide first-line support for hierarchy-related requests through CRA, email, or service requests (SR).

Execute ad-hoc updates and support hierarchy data changes on demand.

Run data quality and hierarchy reports to identify discrepancies or improvement areas.

Collaborate with Sales, Support Services, and Data Governance teams on data change requests and issues.

Support User Acceptance Testing (UAT) and tool enhancement initiatives related to customer data systems.

Coordinate ongoing projects and ensure timely updates and deliverables .

Prepare daily or weekly activity and project reports as required.

Participate in meetings and conference calls with cross-functional and global teams.

Manage multiple tasks effectively and prioritize work to meet deadlines.