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Ensure quality, consistency, and governance of enterprise master data through data analysis, reporting, and collaboration. Perform data mining, identify quality issues, develop dashboards, run system queries, maintain data, support supplier outreach, and meet SLAs while supporting business initiatives and process improvements.
Top Skills:
BusinessobjectsData WarehouseGs1 StandardsMaster Data Management (Mdm)Microsoft AccessExcelPowerPointSQLSQL ServerTableauVBA
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Lead global engineering teams to drive technology transformation of Mastercard's Commercial Acceptance platform. Set technical direction, partner with product and enterprise technology, improve operational stability, reduce incidents and toil, and grow engineering talent across multiple locations.
Top Skills:
Asynchronous Microservice DesignContinuous Testing And ValidationDistributed SystemsEvent-Driven ArchitecturePublic Cloud InfrastructureSecure Sdlc
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Lead global engineering teams to define and execute a technology transformation roadmap for Commercial Acceptance. Drive platform stability, event-driven microservice design, cloud deployment, secure SDLC practices, cross-functional alignment with product and enterprise tech, and talent development while improving operational metrics and reduction of incidents, MTTM, defects, and toil.
Top Skills:
Asynchronous MicroservicesContinuous Testing And ValidationDistributed SystemsEvent-Driven ArchitecturePublic Cloud InfrastructureSecure Sdlc
Responsibilities :
Job Summary:The business analyst reviews, analyzes, and evaluates business systems and user needs. The role will identify problems and opportunities within a company and ultimately provide solutions that help achieve the business goals. The role will develop and monitor data quality metrics and ensure business data and reporting needs are met.The business analyst assists with the implementation and support of business information systems in the organization. The role should cover collaborating with business and IT teams to develop initiatives and strategies that optimize costs and improve internal & external reporting.
Key Roles & Responsibilities:
- Develop and maintain an essential reports to support the Data Governance Team to sustain continuous improvement in their area by providing historical data trends, volume analysis, visual representations of their KPIs and business insights.
- Understand operational objectives of business functions by gathering information, evaluating output requirements and formats.
- Assist in the documentation of business use cases by constructing workflow charts, studying system capabilities and current practices, writing specifications and designing modifications for enhancements.
- Interpret, evaluate and interrelate research data and develop integrated business analysis for strategic decision-making purposes
- Create informative, actionable, and repeatable reporting that highlights relevant business trends and opportunities for improvement.
- Maintain user confidence and protect business by keeping information confidential and providing accurate access to business users
- Collaborates with the IT teams to leverage solution that would enable the teams to provide decision makers an intuitive, interactive, self-service environment that enables them to monitor business results, predict outcomes and drive action plans for optimal business performance.
- Understand business requirements in BI context and design data models to transform raw data into meaningful insights.
- Create dashboards and interactive visual reports using Power BI
- Design, develop, test, and deploy Power BI scripts and perform detailed analytics.
- Drive automation and predictive analytics use cases leveraging the Microsoft Power platforms or other related tools.
Competencies, Skills, Knowledge & Abilities:
Analytics ModellingData ProcessingBusiness AcumenTools and System ProficiencyCommunication ProficiencyProject ManagementRelationship Management
Degree in Computer Science, IT, Engineering, Business, or any equivalent.
Prior experience with SQL, AI, or digital automation is advantageous but not mandatory.
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