Digital ID Data Analyst

Job Opening

Key Responsibilities

• Build & own insights & metrics requirements' backlog across functions
• Work with business to gather insights / metrics requirements, define business logic & analyze the data needed to build them
• Query datasets from various data sources and perform ad-hoc data analysis
• Establish partnerships with cross-functional enablers including data quality, data ingestion, and business team members
• Perform data analysis across domains like line plan, sales orders, channels etc. to support 'Tagging Coverage' reporting
• Support buildout of 'Ongoing Monitoring' metrics to accelerate stabilization of OB scanning capability
• Perform detailed analysis & accelerate developing of critical scanning metrics like Scan Accuracy & GTIN / Inv accuracy
• As the Digital ID 'data' subject matter expert, partner with capability and analytics teams to drive adoption of 'item level' data
• Support formulation of problem statement and definition of scope
• Analyze and understand root cause(s) to inform solution options
• Map business process flows (As-Is and To-Be)
• Gather feature requirements and use cases
• Inform roadmap and guide testing/validation
• Support identification of risks and mitigation approaches
• Engage with key stakeholders and super users to gather requirements and pilot/scale solutions
• Work functionally – Supply Chain, Procurement, Global Manufacturing, etc – both with business and analytic teams

Requirements Qualifications

• Bachelor's Degree in computer science, MIS, analytics, other quantitative disciplines, or related fields
• 5+ years of relevant experiences in data & analytics product creation and adoption
• Strong hands on experience with SQL, Python, AWS, Snowflake, Databricks, Tableau & related toolsets
• A strong history of supporting cross functional data product delivery teams
• Excellent communications skills (written and verbal) and strong interpersonal skills
• Understanding of data architecture, data taxonomy, and both structured and unstructured data
• Experience with agile development methodologies
• Experience with real-time data collection and processing