Job Description :
Data Readiness Analyst
Plano,TX


"Responsibilities:
Gather business requirements and translate business requirements into data cleansing rules for Data Quality Application
Drive development needed for Data Quality Application with technical team – ex: setup end-to-end data collection, cleansing/conversion data readiness/pre and post load validation reporting.
Thoroughly test data cleansing rules in data quality application to ensure data cleansing rules meet business requirements
Compose and maintain documentation on data cleansing rules and data quality application for project team and markets
Attend calls to roll out the application and address/troubleshoot issues and capture changes required.
Assess and resolve complex issues. Perform root cause analysis by engaging appropriate teams and ensure timely error resolution.
Adhere to Agile Methodology delivery with project schedules and deadlines.
Participate and lead (as required) the team touch points with the internal team as well as the broader project team to ensure proper communication and priorities alignment for delivery during Sprints and Integration Test planning and execution.
Support execution for mock conversions and conversion cutover activities.
Prepare and report Data Readiness, conversion and validation sign off results.
Follow Agile methodology for project and market deployments Delivery

Suggested Skillset & Experience:
Requirements Gathering/Management & Business Analysis
Data Readiness, Conversion, Migration and Cutover experience from a functional standpoint
Intermediate SQL skills
Understanding of Data Quality/Data cleansing practices
Must be able to engage in an extensive business-facing role and cross functional collaboration
Deliver information effectively through verbal and written communication skills.
Demonstrated proficiency in critical thinking, problem solving, data analysis and analytical skills
Experience working with virtual teams
Data Transformation and implementation experience a plus
Experience with Agile Delivery Methodology preferred
Experience/understanding of SAP S/4 HANA preferred
Engineering or Math degree preferred
"
             

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