Senior Data Analyst

Insight Global; Seattle (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

Insight Global is seeking a seasoned analytics professional to support the finance automation and analytics modernization agenda. You will partner with Finance, Technology, and data teams to deliver self-service reporting, AI-assisted analysis, and governance-backed insights across forecasting, close, and management reporting cycles.

You will design scalable data solutions, move concepts to production, ensure security and explainability, and communicate progress to leadership while reducing

Qualifications

• 5+ years delivering analytics, data products, and business insights in cross-functional environments.
• Hands-on data modeling in analytics data warehouse with semantic layers (LookML).
• Fluency with SQL and BI/visualization tools (Looker, Tableau, etc.).
• Experience with AI-enabled analytics workflows and governance of AI outputs.
• Collaboration with data engineering and platform teams on data pipelines and quality.

Responsibilities

• Support analytics, data products, and business insights for finance automation and analytics modernization.
• Partner with Finance and Technology teams to deliver self-service reporting and AI-assisted analysis.
• Design scalable, reliable analytics solutions with adoption and efficiency gains as success metrics.
• Track priorities, flag risks, and clearly communicate progress to teams and leadership.

Skills

SQL proficiency

Data modeling

Analytics storytelling

Stakeholder management

BI tooling

Education

Bachelor's degree in a quantitative field

Tools

BigQuery

Looker

Tableau

Python

Job description

Job Description

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.

Skills and Requirements

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)

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].