Data Analyst

hace 1 semana

Santiago de Querétaro, Querétaro de Arteaga, México Kerry A tiempo completo
About the Role

We are seeking a highly skilled Data Analyst to join our team at Kerry, a leading global taste and nutrition company. As a Data Analyst, you will play a critical role in driving business growth and improvement by analyzing and interpreting complex data sets.

Key Responsibilities
  • Identify Areas for Improvement: Analyze routine data received internally and externally to identify areas for improvement in internal operations and supplier processing.
  • Facilitate Decision Making: Use data to facilitate decision making and prioritization within the organization.
  • Build Ad Hoc Reports: Develop and maintain ad hoc reports to visualize progress and identify gaps in performance.
  • Run Daily Dashboards: Create and distribute daily dashboards to stakeholders, including warehouse, transportation, inventory, and customer care teams.
  • Consolidate Data: Consolidate SAP plant, transportation, and 3PL data for central and plant facilities review.
  • Create Dashboards: Develop dashboards for ease of use by end users.
  • Manage OTIF Review Process: Manage a weekly OTIF review process, including tracking failure reason codes and aligning system data.
  • Instill OTIF Culture: Instill a daily OTIF-focused culture within operational execution teams.
  • Highlight Customer Orders: Highlight customer orders in review status and agree on actions needed to align dates and/or avoid future failures.
  • Maintain Open Order Risk Analysis: Perform daily maintenance and consolidation of open order risk analysis, including capturing data from multiple sources.
  • Participate in Teams Calls: Participate in daily/weekly/monthly teams calls.
  • Validate and Audit Data: Validate and audit data captured from plants and warehouses to ensure accuracy.
  • Work with Supply Planning and Warehouse/Logistic Operations Teams: Work closely with the Supply Planning and Warehouse/Logistic operations teams to complete projects on time.
  • Perform Facility Visits: Perform occasional facility visits, audits, and data capture workshops.
Qualifications and Skills
  • Minimum 2 Years of Experience: The successful candidate will have a minimum of 2 years of experience in warehousing, logistics, and supply chain with increasing levels of responsibility in a manufacturing environment.
  • Experience with SAP or Similar ERP: Experience with SAP or similar ERP systems.
  • Advanced Skills with Microsoft Office, SQL Queries, PowerBI & Excel: Advanced skills with Microsoft Office, SQL Queries, PowerBI, and Excel.
  • General Knowledge of Factory and DC Distribution Networks: General knowledge of factory and DC distribution networks.
  • Ability to Conduct Root Cause Analysis: Ability to conduct root cause analysis and identify connections between data and process.
  • Strong Analytical Skills: Strong analytical skills, able to compile and analyze data.
  • Excellent Data Manipulation and Interpretation Skills: Excellent data manipulation and interpretation skills for use in understanding trends, performance analyses, etc.
  • Prepare and Conduct Quality Assurance Reviews: Prepare and conduct quality assurance reviews and process audits for compliance.
  • Strong Analytical, Problem-Solving, and Decision-Making Skills: Strong analytical, problem-solving, and decision-making skills.
  • Strong Attention to Detail: Strong attention to detail.
  • Excellent Communication Skills: Excellent communication skills, both verbal and written, in English.
  • Detail Oriented, Thorough with Documentation/Communication: Detail oriented, thorough with documentation/communication.
  • Ability to Adapt to Changes: Ability to quickly adapt to changes in timelines and sequences, deal with ambiguity, and succeed in a high-pressure environment.
  • Positive and Flexible Attitude: Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment.
  • Drive to Learn and Master New Technologies: A drive to learn and master new technologies and techniques.

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