Master Data Analyst
3m
CR, Asuncion De Belen
hace 12 días

Job Description : Job summary

Job summary

Job duties may include being primary business point of contact for master data (Customer, Vendor, Material) collection, setup, maintenance, reviewing, posting, product costing, and / or maintenance, including consultation on strategies to speed data collection and improve data quality or responsible to triage and / or resolve master data issues in a timely and accurate method according to Service Level Agreements

Analyze negative trends or delays in the process to identify root causes enabling identification of proactive improvement opportunities

Manage their respective teams end-to-end process including follow-up and escalation to meet Service Level Agreements

Ensure application of global master data and business specific governance is followed

Follow-up on process delays and / or coordinate activities required to complete assigned tasks within SLA targets

Analytical and Operational

Duties and Responsibilities :

  • Develop expertise on data governance and processes
  • Develop expertise in master data set-up (includes conditional data such as PIR, Product Costing components, X-Ref, legacy Euroms2, Lotus Notes,etc.).
  • Responsible for monitoring work queues for new requests (i.e. tickets, material create / extend, cleansing, replacement, etc.)
  • Responsible for completing assigned tasks within SLA targets (i.e. ticket resolution, material creation / extension, cleansing etc.)
  • Coordination of respective queue or issue resolution, cycle time, leveraging global Master Data Global Operations Support team to meet Service Level Agreements
  • Train / consult functional data providers to support master data collection process
  • Responsible for facilitation of data collection process and output for SAP. Includes follow-up with the business on missing fields or incorrect data
  • Maintain business group workflow / routing configuration information
  • Provide reports to assigned business team to enable end-to-end process visibility
  • Identification of opportunities to improve data quality & reduce cycle time
  • May include coordination activities such as follow-up on data collection delays, data collection process administration, legacy process delays, product costing

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