Data Analyst Sr

TekWissen • Seattle, WA

3d • Hybrid

About The Position

The Senior Data Analyst supports enterprise programs that modernize Finance through improved insight delivery, automation of manual work, and AI-enabled financial processes. The role partners with Finance, Technology, Data & Analytics, and business teams to deliver scalable analytics and AI solutions that improve efficiency and transparency and support better company-wide decisions.

The position supports cross-functional programs in finance automation, analytics modernization, and AI enablement. It helps move solutions from concept to production in partnership with data engineering, analytics, and AI teams, with attention to security, explainability, reliability, scalability, and usability. Success is measured by adoption, efficiency gains, reduced manual effort, and improved visibility into financial performance. The analyst also coordinates work across stakeholders and project workstreams by tracking priorities, identifying risks and issues requiring decisions, and communicating progress to teams and leadership.

Requirements

• At least 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, such as BigQuery or an equivalent, including building semantic layers such as LookML.
• Strong hands-on proficiency with SQL and BI or visualization tools such as Looker, Oracle, Tableau, or equivalent.
• Experience designing and using AI-enabled workflows, such as LLM-assisted analysis, prompt-driven reporting, or agentic automation, and sound judgment in validating AI outputs for accuracy and governance.
• Experience partnering with data engineering or platform teams on data pipelines, quality, and governance.
• Strong analytical storytelling and communication skills, including translating data into clear insights for technical and non-technical stakeholders and building effective working relationships across teams.
• Bachelor's degree in a quantitative field, such as Analytics, Statistics, Computer Science, Economics, or Engineering.

Nice To Haves

• Comfort with Python or R.
• Experience with automated analytics, monitoring, or alerting solutions.
• Exposure to AI-assisted or conversational analytics.
• Finance or accounting experience.

Responsibilities

• Support analytical needs for 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 solutions are secure, explainable, and suitable for enterprise use.
• Design solutions for scale, reliability, and ease of use, with adoption and efficiency gains as success measures and improved financial performance visibility as an outcome.
• Partner with cross-functional stakeholders to reduce manual effort, streamline Finance workflows, and standardize processes.
• Serve as a thought partner on how technology and AI can unlock capacity.
• Support multiple stakeholder groups and project workstreams by tracking priorities, flagging risks and issues requiring decisions, and communicating progress to teams and leadership.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior