Our client is seeking a Data Analyst to join their team. This role will support the Tagging and Digital ID Capability as well as the Data & Analytics Capability by conducting analysis, working with architecture teams, gathering feature requirements and use cases for ‘item level’ data and insights, drafting as-is and to-be processes. An effective team member will be able to support shifting priorities across a diverse landscape and build subject matter expertise and knowledge of ‘item level’ data. Keys to success includes a sense of ownership, exceptional query skills, previous experience managing data lifecycles, innate curiosity, teamwork and a self-starter.
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 the 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 xfunctionally – Supply Chain, Procurement, Global Manufacturing, ,etc – both with business and analytic teams.
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.
Benefits are available to eligible VanderHouwen contractors and include coverage for medical, dental, vision, life insurance, short and long term disability, and matching 401k.
VanderHouwen is an award-winning, Women-Owned, WBENC certified professional staffing firm. Founded in 1987, VanderHouwen has been successfully placing experienced professionals throughout the Pacific Northwest and nationwide. Our recruitment teams are highly specialized in either Technology and IT, Engineering, or Accounting and Finance career markets. Our recruiters value building meaningful, professional relationships with each candidate as well as developing honed knowledge of companies' staffing needs and workplaces. Partner with us to land your next exciting career.
VanderHouwen is an Equal Opportunity Employer and participates in E-Verify. VanderHouwen does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by applicable local, state or federal civil rights laws.