Job description

Job Title: Senior Data Analyst Location: Seattle, WA 98101 - Hybrid (4 days onsite, 1 day remote) Duration: 06-month contract (with possible extension) Work Schedule: 40 hours per week, Monday–Friday, 9:00 AM–5:00 PM Pacific Time Start Date: Targeting Nov 2026 Pay Rate: $53.19 hr - $63.82/hr on W2 Benefits: Medical, Dental, Vision. Job Description: • Nordstrom is seeking a Senior Data Analyst to support enterprise Finance initiatives focused on finance automation, analytics modernization, and AI enablement. This role will partner closely with Finance, Technology, Data & Analytics, and Business teams to deliver scalable analytics and AI solutions that improve operational efficiency, automate manual processes, enhance financial reporting, and enable better business decisions. • The ideal candidate will have strong hands-on experience with SQL, data modeling, data warehousing, BI tools, and AI-enabled analytics workflows, along with the ability to translate complex data into actionable business insights. Key Responsibilities • Support cross-functional initiatives focused on finance automation, analytics modernization, and AI enablement. • Partner with Finance and Technology teams to deliver process automation, self-service reporting, and AI-assisted analysis. • Support financial reconciliations, variance explanations, forecasting, and faster financial close and management reporting cycles. • Develop and maintain analytical data models and semantic layers within enterprise data warehouses. • Collaborate with data engineering, analytics, and AI teams to move solutions from concept to production. • Ensure analytics and AI solutions are scalable, reliable, secure, explainable, and aligned with enterprise governance standards. • Identify opportunities to reduce manual effort, streamline finance workflows, and standardize business processes. • Develop automated analytics, monitoring, alerting, and conversational analytics solutions. • Track project priorities, identify risks and issues, and communicate progress to stakeholders and leadership. • Translate complex analytical findings into clear, actionable insights for technical and non-technical audiences. Required Skills and Qualifications • 5+ years of experience delivering analytics, data products, and business insights in complex, cross-functional environments. • Strong hands-on proficiency in SQL. • Experience with data modeling in analytical data warehouses, such as BigQuery or equivalent platforms. • Experience building semantic layers using LookML or similar technologies. • Proficiency with BI and visualization tools such as Looker, Tableau, Oracle, or equivalent platforms. • Experience designing and using AI-enabled workflows, including LLM-assisted analysis, prompt-driven reporting, or agentic automation. • Ability to validate AI-generated outputs for accuracy and ensure appropriate governance. • Experience collaborating with data engineering or platform teams on data pipelines, data quality, and governance. • Strong analytical thinking, problem-solving, storytelling, and communication skills. • Ability to manage multiple priorities and collaborate effectively across business and technical teams. Preferred Qualifications • Experience with Python or R. • Finance, accounting, FP&A, or financial reporting experience. • Experience with financial forecasting, reconciliations, variance analysis, and month-end close processes. • Exposure to AI-assisted or conversational analytics and automated monitoring solutions. Education • Bachelor’s degree in a quantitative field, such as Analytics, Statistics, Computer Science, Economics, or Engineering. Work Arrangement • This is a temporary contract opportunity to cover a leave of absence for approximately six months, with a potential extension. The position requires onsite work in Seattle, WA, four days per week. A MacBook will be provided. Interview Process: Potentially two rounds: an initial video screening followed by an in-person panel interview.

Requirements

Must-haves

Job Title: Senior Data Analyst
Location: Seattle, WA 98101 - Hybrid (4 days onsite, 1 day remote)
Duration: 06-month contract (with possible extension)
Work Schedule: 40 hours per week, Monday–Friday, 9:00 AM–5:00 PM Pacific Time
Start Date: Targeting Nov 2026
Pay Rate: $53.19 hr - $63.82/hr on W2
Benefits: Medical, Dental, Vision.
Support cross-functional initiatives focused on finance automation, analytics modernization, and AI enablement.
Partner with Finance and Technology teams to deliver process automation, self-service reporting, and AI-assisted analysis.
Support financial reconciliations, variance explanations, forecasting, and faster financial close and management reporting cycles.
Develop and maintain analytical data models and semantic layers within enterprise data warehouses.
Collaborate with data engineering, analytics, and AI teams to move solutions from concept to production.
Ensure analytics and AI solutions are scalable, reliable, secure, explainable, and aligned with enterprise governance standards.
Identify opportunities to reduce manual effort, streamline finance workflows, and standardize business processes.
Develop automated analytics, monitoring, alerting, and conversational analytics solutions.
Track project priorities, identify risks and issues, and communicate progress to stakeholders and leadership.
Translate complex analytical findings into clear, actionable insights for technical and non-technical audiences.

Nice-to-haves

Experience with Python or R.
Finance, accounting, FP&A, or financial reporting experience.
Experience with financial forecasting, reconciliations, variance analysis, and month-end close processes.
Exposure to AI-assisted or conversational analytics and automated monitoring solutions.
Bachelor’s degree in a quantitative field, such as Analytics, Statistics, Computer Science, Economics, or Engineering.
Work Arrangement
Interview Process: Potentially two rounds: an initial video screening followed by an in-person panel interview.

Application prep

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Benefits

Benefits detected in the listing.

Dental

Vision