Contractor-Nonbillable

• Minimum of 4-5 years’ experience in Data Analytics (Finance/Tax/Treasury Domain)
• Experience in executing key Corporate Tax and/or Treasury tasks, such as Tax planning/provision/filing, Tax audit support and administration.
• Responsible for Data Pull & Analysis requests received from the Internal Tax & Treasury stakeholders. 
• Create plan of action for the data pull requests received from Internal Tax & Treasury stakeholders which includes documenting the requirements, identify the data sources in Fusion OPC (Oracle Public Cloud) and collaborating with the stakeholders across the organization
• Perform data reconciliations and validations to ensure the data outputs are matching with Income Tax, Withholding Tax and Non-Income based Tax returns filed with Tax authorities
• Host the meetings with Internal and External stakeholders to review the data pull requirements and present the project status to the stakeholders for alignment
• Create data output templates in excel based on requirements described by Internal Tax & Treasury stakeholders and sought sign-off
• Complete the assigned milestones that are part of data pull projects within the assigned timelines
• Ability to Design and prepare the Power point presentations for the Management/Auditors
• Ability to do the analysis between the data sets (reports) to draw the desired results (summary of analysis)
• Collaborate with teams Internal and external stakeholders within Oracle to gather required supporting documentation.
• Mastery in Microsoft Excel, and proficiency in Microsoft PowerPoint and related business analysis tools
• Ability to facilitate brainstorming discussions, gather and document inputs from business and SMEs
• Strong written and verbal communication skills, including senior executive engagement 
• Detail oriented, analytical and able to manage multiple tasks in a fast-paced environment
• Problem Solving, ability to analyze complex data
• Must be a strong team player with the ability to collaborate effectively in a geographically disperse working environment

Career Level - IC2

Responsibilities

• BA/BS/Bcom in Finance is preferred. MS/MBA is a plus.
• Minimum of 4-5 years’ experience in Data Analytics (Finance/Tax/Treasury Domain)
• Experience in executing key Corporate Tax and/or Treasury tasks, such as Tax planning/provision/filing, Tax audit support and administration.
• Responsible for Data Pull & Analysis requests received from the Internal Tax & Treasury stakeholders. 
• Create plan of action for the data pull requests received from Internal Tax & Treasury stakeholders which includes documenting the requirements, identify the data sources in Fusion OPC (Oracle Public Cloud) and collaborating with the stakeholders across the organization
• Perform data reconciliations and validations to ensure the data outputs are matching with Income Tax, Withholding Tax and Non-Income based Tax returns filed with Tax authorities
• Host the meetings with Internal and External stakeholders to review the data pull requirements and present the project status to the stakeholders for alignment
• Create data output templates in excel based on requirements described by Internal Tax & Treasury stakeholders and sought sign-off
• Complete the assigned milestones that are part of data pull projects within the assigned timelines
• Ability to Design and prepare the Power point presentations for the Management/Auditors
• Ability to do the analysis between the data sets (reports) to draw the desired results (summary of analysis)
• Collaborate with teams Internal and external stakeholders within Oracle to gather required supporting documentation.
• Mastery in Microsoft Excel, and proficiency in Microsoft PowerPoint and related business analysis tools
• Ability to facilitate brainstorming discussions, gather and document inputs from business and SMEs
• Strong written and verbal communication skills, including senior executive engagement 
• Detail oriented, analytical and able to manage multiple tasks in a fast-paced environment
• Problem Solving, ability to analyze complex data
• Must be a strong team player with the ability to collaborate effectively in a geographically disperse working environment