Sr. Data Analyst

Job Title: Sr. Data Analyst
Job Type: Contract
Duration: 6 Months
Location: Seattle, WA 98101
Work Arrangement: Hybrid - 4 days onsite/week

• You will partner closely with Finance, Technology, Data & Analytics, and Business teams to deliver scalable analytics and AI solutions that improve efficiency, increase transparency, and enable better decisions across the company.
• Support the analytical needs of cross-functional programs focused on finance automation, analytics modernization, and AI enablement.
• Partner with Finance and Technology teams to deliver process automation, self-service reporting, AI-assisted analysis, reconciliations, variance explanations, forecasting, and faster close and management reporting cycles.
• Work with data engineering, analytics, and AI teams to move solutions from concept to production, ensuring they are secure, explainable, and fit for enterprise use.
• Design solutions for scale, reliability, and ease of use, with adoption and efficiency gains as core success measures and improved visibility into financial performance as the outcome.
• Work with cross functional partners to reduce manual effort, streamline finance workflows, and standardize processes, serving as a trusted thought partner on how technology and AI can unlock capacity.
• Support multiple stakeholder groups and project workstreams: track priorities, flag risks and issues that need decisions, and communicate progress clearly to the team and leadership.

• 5 years of experience delivering analytics, data products, and business insights in complex, cross-functional environments.
• Hands-on data modeling experience in an analytics data warehouse (e.g., BigQuery or equivalent), including building semantic layers (e.g., LookML).
• Deep hands-on fluency with SQL and BI/visualization tooling (e.g., Looker, Oracle, Tableau, or equivalent); comfort with Python or R is a plus.
• Experience designing and using AI-enabled workflows (e.g., LLM-assisted analysis, prompt-driven reporting, or agentic automation) to accelerate analytics delivery, with sound judgment on validating AI outputs for accuracy and governance.
• Experience partnering with data engineering/platform teams on data pipelines, quality, and governance.
• Strong analytical storytelling and communication skills, with the ability to translate data into clear insights for both technical and non-technical stakeholders and to build effective working relationships across teams.
• Experience with automated analytics, monitoring, or alerting solutions, and exposure to AI-assisted or conversational analytics; finance or accounting experience is a plus.
• A bachelor’s degree in a quantitative field (e.g., Analytics, Statistics, Computer Science, Economics, Engineering)