Must have experience with creating data analysis and data comparison reports on different data source systems using SQLPL SQL; developing and implementing data quality rules and frameworks in tools like collibra; designing and developing data quality and KPI dashboards in front end tools like Tableau and Power BI; performing data assessment and data profiling using SQL or collibra to ensure that data is fit for purpose; maintaining the data quality metrics above a threshold by performing continuous issue management in collibra or Jira; creating and managing data dictionary, business glossary and data quality rule repository in collibra; designing and implementing Data Governance strategy using DAMA Data Management Association principles; establishing and implementing best practice processes SOP and policies across teams for master data management MDM; creating Ad hoc reports on item master, customer master data and sales transaction data using query languages like SQLPLSQL; analyzing the architecture of Data Structures of source systems and target systems and, based on the analysis, perform AsIsTobe data mappings between the systems; developing ETL Extract, Transform, Load strategy to perform data migration from different upstream source systems to target system for customer master data and item master data and transaction data; Agile environment; and ticketing tools like JIRA and ServiceNow. Employer will accept any amount of graduate coursework, graduate research experience or experience with the required skills.br br Continuation of Section H.10B acceptable alternate occupation Required experience experience in technical program management or related experience.

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