Qualification & Experience ·     CA/CA (Drop out)/MBA/M.Com in Finance is preferred. MS/MBA is a plus.
·     Minimum of 2-3 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.
Roles and Responsibilities ·     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.
Preferred Skills ·     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

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