Data Engineer Associate

Overview

The role responsibilities including conducting a full lifecycle analysis to include requirements, activities, and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Follow-up in IT projects where the essence or purpose of master data is affected.

 

• The role will be attend Europe and Amesa Regions not limited to one business Unit.
• Working with “DMO/GDG/TI/BS“ partners to improve materials, customers and suppliers master data capabilities, will be key components of this role, the ability to adapt to change makes all the difference over a business model.
• Full understanding y execution for SAP mass loads (Winshuthle, CMP, LSMWs and mass tcodes)
• The role get involved with: data models, database design development, data mining, and segmentation techniques, to support the different projects of the Sector in all domain.
• This role will work closely with Data Governance, Business and other DMO teams.
• The role will cover DQ rules errors remediation through mass uploads and business follow up.
• Daily monitoring for data quality errors

 

Responsibilities

• Ensure the correct execution of mass data uploads (creation, extension, modification) in SAP received in SNOW.
• Partner with accountable functions to ensure the needed inputs and approvals for data changes.
• Work with management to prioritize business and information needs.
• Accomplishment of DMO KPIs related to Mass Maintenance tickets SLA compliance, and Data Quality results.
• Support with root cause investigation of master data-related issues and incidents with a view to updating standards, processes, and accountabilities to prevent repeat failures.
• Interact with internal and external stakeholders to understand their concerns and actively participate in solution design and building.
• Partner with accountable functions and facilitate the improvement of Data Quality.
• The role will cover the following up for change, inactivation and creation for DQ rules
• Dayli monitoring for data quality errors

Qualifications

• Fully understanding of SAP processes 2+ years. 
• 1+ years working in a team as a Data Analyst or Business Data Analyst.
• +1 years experience working with SAP functions:
• *Creation process, identifying critical data elements and dependencies between data fields and tables.
• Strong analytical skills, as shown by the advanced use of data analysis tools and concepts.
• Strong influencing, facilitating; and consulting skills in working with stakeholders at all levels in the organization and across departments.
• Excellent oral and written skills to effectively communicate complex ideas and concepts and provide clear documentation to the management and business stakeholders.
• Ability to quickly adapt to changes in timelines and sequences and deal with ambiguity.
• 1+ years of experience with SQL, detailed knowledge of VBA, and Excel Pivots.
• 1+ years of experience in SAP mass loads (Winshuthle, CMP, LSMW, SAP Mass Tcodes)
• Ability to work autonomously as well as with others as part of a team.
• Able to effectively interact with business users, data governance, and data projects.
• Provide experience in ETL Processes in SAP.