
Senior Analytics Engineer, Finance & Operations
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Collaborate with Finance, Operations, and the Data team to gain insights into business processes and source-system workflows, establish pipeline requirements, and pinpoint data gaps along with downstream reporting implications.
• Take ownership of the Finance and Operations data layer, constructing reliable, reusable data models for reporting, analysis, and decision-making purposes.
• Design and document data flows from systems such as NetSuite, Ramp, and Pigment into Snowflake and Omni.
• Develop validation checks, reconciliation workflows, and exception reporting for Finance and Operations data across source systems, Snowflake, and Omni.
• Define and oversee key Finance and Operations metrics, encompassing business logic, data grain, source of truth, ownership, refresh cadence, and known limitations.
• Create and sustain both executive-level and detailed self-service dashboards to convey performance metrics and facilitate root-cause analysis.
• Automate manual data flows, reporting processes, and reconciliation workflows.
• Strategically collaborate with Finance and Operations to develop and enhance metrics such as LTV/CAC and Cost Per Unit for Last Mile.
• Over 5 years of experience in an analytics role, with exposure to financial or operational data sets.
• Proficient in SQL.
• Experience in creating reusable, well-structured data models within a cloud data warehouse environment, preferably Snowflake.
• Familiarity with BI or semantic-layer tools such as Omni, Looker, Tableau, Power BI, or Sigma.
• Proven experience in validating outputs, reconciling discrepancies, documenting assumptions, and establishing checks for critical metrics.
• Capability to comprehend business processes and translate them into data models, metrics, dashboards, and documentation.
• Strong stakeholder management abilities, including requirement gathering, expectation management, constructive pushback, and communicating trade-offs.
• Comfortable working in an early-stage or evolving data environment where systems, pipelines, definitions, and ownership boundaries may still be developing.
• Preferred: Experience with source-of-truth systems such as ERP (NetSuite), WMS, TMS (OSCA), or CPM (Pigment).
• Preferred: Experience with wholesalers and EDI.
• Competitive Salary + Equity Package.
• 401K matching.
• Budgets for wellness, learning, and home-office expenses.
• Health, Dental & Vision Medical Plans.
• Significant autonomy in directing your work.
• Unlimited PTO.
• Company holidays on the first Friday of each month (excluding November, December, and January).
Afresh
Chainguard
IV.AI
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