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Ref No.: 17-01871
Location: Irving, Texas
Location : Irving-TX
Duration :
Rate : DOE

US Citizen, Green Card and GC EAD Only No Third-party agencies crop to corp.

Job Description:
  • Finance Data Lake is a strategic enterprise initiative to centralize all ERP, supply chain data into Hadoop big data platform and enable reporting, analytics and self-service discovery capabilities.

  • Consultant should have extensive experience in PeopleSoft ERP functional knowledge, data structure and transactional relationships between the General Ledger, Accounts Payable, Purchasing, Asset Management, Purchasing, Sourcing, Labor and time modules.

  • Experience in building PS queries, delivering complex analytics, metrics, reporting to provide ever changing business requirements, needs.

  • Experience & expertise in automated testing & reconciliation reporting efforts is desirable.

  • Responsible for working with the Financial Data Lake Team, Business users on requirements gathering, analysis, design, testing and coordination of UAT (User Acceptance Testing);
    Responsible for Evaluating FDL related objects , analyzing the business processes , identification, documentation the solutions related project tasks , activities , identifying the issues and provide timely resolutions.
  • Experienced in Agile processes Jira, requirements analysis, design, development, and integration testing and user acceptance testing (UAT).

  • Experienced in planning, scheduling, and conducting gap analysis sessions for analytics, metrics and reports at enterprise level.

  • Advanced proficiency in SQL, Microsoft Excel and PowerPoint for analytics and presentation.

  • Strong analytical, investigative, problem solving verbal and communication skills.

  • Proven ability to work under pressure, on multiple assignments, with strong attention to detail.

  • Demonstrated ability to mentor and guide others to further develop individual and team skills.

Good to have working knowledge of Hadoop big data reporting and analytical tools ( Hadoop , Hive , Spark ,Tableau, Excel) with the ability to perform in-depth analysis of large datasets to identify the root causes of issues and resolutions.