Digital ID Data Analyst

Kforce Technology Staffing
Kforce Technology Staffing

Job Overview

RESPONSIBILITIES Kforce has a client in search of a Digital ID Data Analyst in Beaverton, OR. Key Tasks Build own insights metrics requirements’ backlog across functions Work with business to gather insightsmetrics 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 GTINInv accuracy As the Digital ID ‘data’ subject matter expert, partner with company 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 testingvalidation Support identification of risks and mitigation approaches Engage with key stakeholders and super users to gather requirements and pilotscale solutions Work functionally – Supply Chain, Procurement, Global Manufacturing, company Direct, etc. – both with business and analytic teams REQUIREMENTS 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 Kforce is an Equal OpportunityAffirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.Digital ID Data Analyst 1

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