Data Analyst

About the Role

We’re looking for a curious, technically strong, and business-minded Data Analyst to join our Data Engineering team. This is a high-impact analytics position for someone who works at the intersection of data engineering, business intelligence, finance analytics, and AI-enabled decision support.

You’ll partner closely with Finance, Operations, Data Engineering, and business leadership to turn complex questions into trusted, actionable insights — with a particular focus on supporting the Finance organization. This role reports to the Data Engineering Manager.

What You’ll Do

• SQL & Business Analysis: Translate ambiguous business questions into precise SQL queries against our Snowflake warehouse. Own and deliver recurring financial reporting, reconciliation, and operational analytics with an eye for improving efficiency over time.
• Diagnostic & Advanced Analytics: Go beyond dashboards to explain why metrics move. Conduct root cause analyses, build forecasting models, and support decision-making through churn analysis, customer segmentation, CLV, A/B testing, and similar techniques.
• Business Intelligence & Self-Service Analytics: Build, maintain, and optimize Looker dashboards, Explores, and LookML definitions that provide governed, reliable, self-service analytics. Govern the semantic layer — metrics, dimensions, and business logic — that powers trusted reporting and AI-enabled analytics. Train business users to leverage these tools confidently.
• Finance Partnership & Compliance: Serve as the primary analytical partner to the Finance team. Own financial reporting, reconciliation, and forecasting workflows. Support SOX audits and ITAC testing, ensuring financial data is accurate, auditable, and well-documented.
• Data Quality & Cross-Functional Collaboration: Monitor and improve data quality across analytical pipelines, especially for finance-critical datasets. Gather requirements from stakeholders, translate business needs into technical specs, and collaborate with Data and Analytics Engineers to resolve upstream issues.

What You Bring

Must Have

• Experience: 3+ years in a Data Analyst, Analytics Engineer, or BI Analyst role in a modern cloud data stack environment.
• SQL mastery: Advanced SQL including CTEs, window functions, joins, and performance-aware querying in Snowflake or a comparable cloud warehouse.
• Looker expertise: Hands-on experience with Looker: dashboard development, Explores, LookML, governed metrics, and enabling self-service analytics for business users.
• dbt proficiency: Ability to read, maintain, test, and document dbt models. Familiarity with sources, tests, macros, lineage, and dbt development workflows.
• Finance domain knowledge: Solid understanding of GL, journal entries, trial balance, financial statements, reconciliations, and period-close processes. SOX/ITAC experience is highly valued.
• Data modeling: