Senior Analytics Engineer

Own the Finance and Operations data layer, integrating source systems into Snowflake and Omni while developing governed metrics, dashboards, and quality controls. Requires 5+ years in analytics, strong SQL and data modeling skills, and experience partnering with business stakeholders.

About the job

Responsibilities

Partner with Finance, Operations, and Data teams to understand business processes, define pipeline requirements, and identify data gaps and reporting impacts.
Own the Finance and Operations data layer and build trusted, reusable data models for reporting, analysis, and decision-making.
Design and document data flows from NetSuite, Ramp, and Pigment into Snowflake and Omni.
Create validation checks, reconciliation workflows, and exception reporting across source systems, Snowflake, and Omni.
Define and govern Finance and Operations metrics, including business logic, grain, source of truth, ownership, refresh cadence, and limitations.
Build and maintain executive and self-service dashboards to communicate performance and support root-cause analysis.
Automate manual data flows, reporting processes, and reconciliation workflows.
Partner strategically with Finance and Operations on metrics such as LTV/CAC and last-mile cost per unit.

Requirements

5+ years of experience in an analytics role with exposure to financial or operational datasets.
Strong SQL skills and experience building reusable data models in a cloud data warehouse.
Experience with BI or semantic-layer tools such as Omni, Looker, Tableau, Power BI, or Sigma.
Experience validating outputs, reconciling discrepancies, documenting assumptions, and creating checks for critical metrics.
Ability to translate business processes into data models, metrics, dashboards, and documentation.
Strong stakeholder management, requirements gathering, expectation management, constructive pushback, and communication of tradeoffs.
Comfort working in an early-stage or evolving data environment.