Senior Data Analyst – Supply Chain Intelligence - Hybrid - Seattle

Nordstrom•Seattle, WA

1d•$121,000 - $199,000•Hybrid

About The Position

Are you passionate about leveraging complex data and system integration to transform Supply Chain Operations? Join Nordstrom, a leader in fashion retail since 1901, as we redefine modern retailing in a digitally connected world. Our Supply chain intelligence team is at the forefront of this transformation, and we’re seeking a detail-oriented, analytical, and motivated Senior Data Analyst to join our Supply Chain Intelligence team. This role is pivotal in ensuring seamless integration and accurate mapping of Supply chain data across systems, tools, and reports, with a focus on building robust data pipelines

Requirements

Bachelor’s degree in computer science, Information Systems, Data Science, or a related field.
5+ years of experience in data analysis, system integration, and process optimization.
Strong understanding of ETL processes, data management principles, and data pipeline development using Apache Airflow , Dataflow
Strong coding skills in at least one statistical or programming language (Python or R preferred) for data import, summarization, and analysis.
3+ years of experience extracting and manipulating large datasets from relational databases using SQL ( e.g., Oracle, PostgreSQL, or MySQL ).
Proficiency in data querying and visualization/reporting tools (e.g., Tableau, Looker, IBM Cognos).
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Exceptional organizational and time-management skills.

Nice To Haves

Knowledge of supply chain operations and data migration experience (preferred)
Familiarity with IBM Cognos (nice to have)

Responsibilities

Data Mapping and Integration : Analyze and map SupplyChain data flows across multiple processes, to build and manage scalable data pipelines , ensuring data integrity and connectivity.
Reporting and Analysis : Generate and maintain reports to track data flow performance and identify improvement opportunities. Conduct regular audits to ensure data integrity and compliance. Provide actionable insights to support decision-making.
System and Tool Analysis : Monitor and troubleshoot data pipeline issues, ensuring timely resolution. Optimize data flow processes to enhance efficiency and reliability.
Collaboration and Communication : Partner with cross-functional business, product, and tech teams to align on data requirements. Drive business requirements for seamless data flow and system interoperability, developing scalable data analytical solutions.
Performance Monitoring and Reporting : Develop and track KPIs to measure the effectiveness of inbound integration efforts. Provide regular updates to senior management on integration progress and outcomes.
Incorporate Data & Controls : Collaborate with supply chain and operations teams to identify signals and visibility needed to enhance operations and controls. Build reporting to support control monitoring.
Technical Languages : Utilize coding and querying expertise (e.g., Python, SQL) to integrate data across systems, ensuring high data quality and integrity.
Analytics Mentoring : Lead and mentor other analytics team members to foster a culture of data-driven excellence.