Data Analyst Sr.
Seattle, WA
Data Analyst Sr.
Hybrid contract, 40 hours Monday-Friday 9:00 AM-5:00 PM Pacific Time, with medical, dental, and vision. Requires 5+ years in analytics, strong SQL, data modeling, BI tools, and AI-enabled workflows; a MacBook is provided.
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:
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.
- 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.
- 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.
- 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.
- 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.