ABOUT THE POSITION
Althoughwe'rean apparel andfootwear-focusedcompany, technology is central to everything we doColumbia Sportswear’sDigital Technology (CDT)groupenablesan IT infrastructure across four global brands, a global supply chain, and 500+ geographically dispersed storesThese teams support in-store, mobile, and data platforms to enhance customer interface and service in an ever-evolving industry.
The Business Systems Analyst – SAP & Cloud Analytics is a critical member of Columbia Sportswear’s Data & Analytics organization, supporting enterprise analytics across SAP and modern cloud platforms. This role works in close partnership with the Senior Data Engineer – BW and collaborates routinely with theCommercial,Supply Chain Databricks engineering team to deliver scalable, high‑impact analytics solutions.
The BSA playsa central rolein continuous improvement, production support, and requirements analysis for widely used SAP‑based analytics assets, while also contributing to the evolution of analytics on Azure Databricks and Power BI. Acting as a bridge between business stakeholders and multiple engineering teams, this role ensures that work is well‑understood, prioritized, and delivers incremental business value.
This position is well‑suited for a technically inclined analyst or former developer who enjoys working across platforms, coordinating delivery, and growing into modern cloud‑based analytics whileleveragingstrong SAP ecosystem knowledge.
HOW YOU’LL MAKE A DIFFERENCE
Continuous Improvement & Production Support
Partner closely with the Sr. Data Engineer – BW to deliver incremental enhancements to highly utilized SAP BW reporting and analytics assets
Triage, analyze, and manage incoming support tickets and enhancement requests, focusing on root cause understanding and business impact
Help ensure stability, usability, and performance of enterprise analytics used by Finance, Commercial, and Supply Chain teams
Identifyimprovement opportunities that incrementally increase value without disrupting core reporting
SAP Analytics & Domain Expertise
Serve asaSAP analytics knowledge resource for the broader data engineering organization, including engineers primarily working in Databricks
Explain SAP ECC / BW data structures, hierarchies, metrics, and business logic to support downstream data modeling and analytics
Provide functional anddata levelcontext to help teams correctly interpret and useSAP sourceddata in cloud platforms
Contribute to documentation and shared understanding of critical SAP datasets and analytics behavior
Cloud & Modern Analytics Collaboration
Work directly with theCommercial,Supply Chain Databricks engineering team to clarify requirements,validatedata, and alignSAP sourcedanalytics with cloud delivery patterns
Support analytics initiatives that span SAP BW, Databricks, and Power BI, ensuring consistency and clarity across platforms
Partner with engineers and analysts to enable trusted Power BI semantic models and datasets sourced from both SAP and cloud environments
Growhands-onfamiliarity with Databricks, Azure Data Lake, and Power BI, contributing to analysis, validation, and backlog readiness
Requirements & Stakeholder Coordination
Engage with business stakeholders to gather, refine, and document analytics requirements, including metrics, logic, filters, and data validation needs
Translate business requests into clear, actionable requirements suitable for BW, Databricks, or Power BI delivery
Coordinate work across SAP BW engineers, cloud data engineers, and analytics teams to ensure expectations and delivery timelines are aligned
Communicate status, risks, and outcomes clearly to both technical andnon‑technicalaudiences
YOU ARE
Comfortable operating across SAP and modern cloud analytics platforms
Organized and proactive at managing work intake and prioritization
Confidentcommunicationwith engineers, analysts, and business stakeholders
Motivated to grow into modern analytics delivery whileleveragingdeep SAP knowledge
YOU HAVE
Bachelor’s degree in Information Systems, Computer Science, Business, or a related field, or equivalent practical experience
Experience working in or supporting SAP analytics environments (SAP BW, BW on HANA, or SAP ECC reporting)
Strong understanding of enterprise reporting concepts, metrics, and data quality considerations
Experience triaging issues, analyzing production data problems, and supporting widely used analytics assets
Proven ability to gather, document, and communicate business and technical requirements
Experience collaborating with data engineers or BI teams in an Agile or iterative delivery environment
Strong written and verbal communication skills
PREFERRED / NICE TO HAVE
Prior experience as a developer, data engineer, or BI engineer
Familiarity withCommercial,Supply Chain analytics domains
Exposure to Databricks, cloud data platforms, or Azure analytics services
Experience supporting or working with Power BI datasets or semantic models
Experience working in a Global Capability Center (GCC) or distributed team model
#LI-SA1
#Hybrid
This job description is not meant to be an all-inclusive list of duties and responsibilities, but constitutes a general definition of the position's scope and function in the company.
Based in Portland, Oregon, Columbia Sportswear Company (NASDAQ: COLM) is a global outdoor brand that crafts active lifestyle gear fortified with industry-leading technologies and tested in our backyard. Our apparel, footwear, and accessories reflect our Pacific Northwest heritage and indomitable spirit.
Over the last 80 years, Columbia and our family of brands, Sorel, prAna, and Mountain Hardwear, have grown to over 10,000 employees and proudly sell products in over 100 countries.
At Columbia, we're as passionate about the outdoors as you are. And while our gear is available around the world, we're proud to be based in the Pacific Northwest where the lush forests, snow-covered mountains, rugged coastline, and wide-open spaces serve as our playground. This is where we hike, fish, hunt, camp, climb, shred, paddle, golf, run, and just enjoy the fresh air with friends.
We hope to see you out there.
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