Sr. Analyst, Master Data

Lactalis USA Inc.•Buffalo, NY
•$100,000 - $105,000•Hybrid

About The Position

Lactalis USA is hiring a Sr. Analyst, Master Data, to oversee processes and projects that support the accuracy, integrity, and timeliness of customer, vendor, and material master data in the ERP system. The role collaborates with business and technical teams to align operational processes with SAP Core Model design and corporate goals, and leads cross-functional discussions to capture requirements and improve master data maintenance.

Requirements

  • Bachelor's degree required.
  • Experience working with SAP master data.
  • In-depth knowledge of principles and concepts for managing master data quality in key systems.
  • Ability to develop and document processes with functional data owners to support ongoing data maintenance and data integrity.
  • Ability to sustain data quality and identify and resolve master data problems using suitable error detection and correction, process control, improvement, or design strategies.
  • Good personal computer and business solutions skills.
  • Good communication skills for interacting with customers, team members, external data providers, and management.
  • Good analytical and problem-solving skills.
  • Ability to work independently and as part of a team.
  • Strong strategic thinking, attention to detail, adaptability, and initiative.
  • Strong analytical skills to interpret business needs and translate them into operational requirements.
  • Relevant experience working with virtual and/or matrix teams and ability to communicate and collaborate effectively in that environment.
  • Experience working in cross-cultural, cross-functional teams and with senior leadership.
  • Excellent verbal and written communication skills and ability to interact professionally with diverse partners, senior managers, and subject matter experts.
  • Strong organizational skills to manage activities and tasks required to achieve project goals.
  • Ability to facilitate communication among project team members and build effective working relationships with business leaders, business process owners, functional leads, USIT, corporate teams, and system integrators.
  • Ability to maintain project documentation, including plans, status reports, meeting minutes, and change logs, and prepare progress reports and presentations for stakeholders and senior management.

Nice To Haves

  • Majors in data management, supply chain, computer science, or a related field are preferred.
  • 5+ years of experience as a Master Data Analyst or Data Engineer is preferred.

Responsibilities

  • Develop and document processes with business data stewards to support operations.
  • Define and implement master data strategies, policies, controls, and programs to ensure enterprise data is accurate, secure, and reliable, working with technical and business subject matter experts.
  • Identify data quality improvement opportunities, resolve data quality problems, correct errors promptly, and recommend process controls or design strategies.
  • Perform data profiling, cleansing, and validation in SAP S/4 and the MDM tool.
  • Support master data management, governance, and data quality requirements with functional data owners to maintain data integrity across operations.
  • Coordinate with business and IT to ensure master data rules and application operations meet requirements.
  • Clean data by removing old, unused, or duplicate records.
  • Lead documentation of processes and data standards with technical and functional teams.
  • Engage with the business to sustain approved Master Data Management processes.
  • Work with business and IT on successful S/4HANA data migration.
  • Create, update, and delete master data in S/4.
  • Work with team leads to write and maintain standard operating procedures for master data lifecycle scenarios, including create, update, extend, block, unblock, and mark for deletion.
  • Analyze, troubleshoot, and resolve errors; assist team members and business partners with master data issues.
  • Proactively cleanse key master data by blocking inactive records and duplicates and establishing business partner relationships.
  • Review master data requests for adherence to standards, requirements, and quality expectations.
  • Communicate with business units to understand requirements and the impact of master data changes.
  • Train new MDM team members.
  • Coordinate data-related tasks and activities for LAG.
  • Travel occasionally as required and work extended hours when project needs require.
  • Maintain physical presence in the office in accordance with the Hybrid Work Policy.

Benefits

  • Affordable benefits and coverage options through a comprehensive Total Rewards Program.
  • The company significantly supports insurance costs.
  • Generous contributions to retirement plans.
  • Paid Time Off from day one.
  • Training and development opportunities.
  • Education Reimbursement.
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