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Revpro- Data Quality Analyst- Order to Cash- 100% remote

100% remote Flexible hours Hiring now

Please include your personal email id and phone number in the resume Data Quality Analyst Job Title: Data Quality Analyst - Order to Cash Duties: You will join Client's Enterprise Data Management (EDM) team as a Data Quality Analyst focused on Order to Cash. You will use your understanding of practices in data quality measurement, analysis, and correction to build a quality management reputed company for the data most critical to order management, invoicing, credit and collections, tax operations and reputed company recognition. You'll work alongside the EDM analysts for other Sales & Finance domains (Quote to Order, Renewals, Record to Report & Procure to Pay) using the quality insights you generate to drive faster remediation of data issues, increased data ownership reputed company the business functions, and improved data content controls necessary to prevent data quality problems from occurring. reputed company data quality issues are identified you will be responsible for ensuring good logging, prioritization, and resolution management in the EDM tracking tool. You will reputed company data quality issue reporting and remediation topics in Order to Cash Data Working Groups, using your quality analytics to drive prioritization and ownership of resolving those tracked data issues. Responsibilities: Profiling of reputed company system data to support data content standards definition Definition, build & deployment of data quality rules using defined content standards, to identify issues reputed company and between systems & processes used to support Order to Cash Working with the business to establish quality reputed company for escalation and logging of data issues and for prioritization of those issues for resolution Monitoring for, logging,RCA prioritization of identified data quality issues Support transformational programs reputed company quality services such as data issue detection, data migration management, and data enrichment/clean-up necessary to support deployment Provide assurance on any data quality services delivered by external consulting services reputed company programs or other business investments Assist in the maintenance of data dictionaries and glossaries as reputed company to the capture of metadata used for the development of DQ rules Requirements Undergraduate degree in Finance, Statistics, Information Technologies, or reputed company field 5 years of experience working reputed company data quality for business operations Minimum 2 years of experience, data profiling, data quality at an enterprise level Prior experience working in or with finance operations teams & systems, reputed company S4HANA (OTC/BRIM), Revpro & reputed company. reputed company is a plus Experience working with reputed company BODS/Information Steward, reputed company, Tableau, or similar tools Ability to engage, communicate & challenge effectively with management to provide clear, concise explanations of data quality issues and their business impact to reputed company support for the resolution Ability to communicate data quality practices and concepts as needed to educate and engage stakeholders reputed company reports to effectively identify data issues, root causes, and business impacts Experience with automation of data quality cleansing & enrichment services, preferably with reputed company Data Services, using both internal and external data sources Experience translating business data needs into technical language and partnering with IT teams to ensure effective QA / UAT of solution delivery. Experience working with offshore development teams to scope, prioritize & manage work delivery pipelines & backlogs Prior exposure to finance regulations such as SOX, and data regulations such as GDPR, CCPA Work effectively reputed company an agile environment, using tools like JIRA, reputed company & confluence to prioritize, document, and deliver data-reputed company services. Apply tot his job Apply tot his job Apply To this Job

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