Company Name:-
REI

Job Location:-
Seattle, WA

Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionBusiness Intelligence & Analytics at REI has been going through a transformational journey to enable the co-op to be a data driven organization.

Along with a complete revamp of the entire analytical platform ecosystem which includes onboarding new solutions and migrating to Cloud, the team continues to enhance our already rich data platforms with additional data that helps to drive actionable insights across the Co-op.

The team also develops new analytical products in the form of reports, Dashboards and Data Science products to solve critical business problems.

Our team of Architects, Engineers, Business Analysts, Project Managers and Data Scientists use technologies such Snowflake, SAP BW, AWS, Tableau, Business Objects and programming languages like SQL, Python and R to support multiple projects in data integration, analytics and data science.

As the Solutions Architect, you will have the opportunity to design solutions to solve complex data and business problems in support of our Marketing, Digital Retail, Physical Retail, Merchandising, Finance, Customer Insights and Supply Chain teams.

Working in an agile environment, you will collaborate with business partners and the architect community to build world class products.

You also get to be part of a super fun team and an organization that inspires you to live a life outdoors!Bring your passion and expertise
Lead, design and document the solution architecture required to support the development of new data integrations to our Data warehouse platforms, development of data sets, reports, dashboards & new data feeds to external applications.

Lead, design, and document the conceptual and logical data models, and assist the technical team in the development of the physical models required to support project deliverables.

Working with the BI Domain Architect and other BI Solution Architects, define technical requirements, technical and data architectures for the data warehouse.

Verify the content developed by the technical team during the development phase is compliant with the proposed solution architecture and business requirements.

Support the project team with project planning, requirements refinement, quality ass

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