Senior Analytics Engineer partnering with Finance and Operations to own their data layer in Snowflake. Build trusted data models, integrate from ERP/CPM systems, govern metrics, create dashboards, and ensure data quality for business decision-making. Requires 5+ years analytics experience with financial/operational data, strong SQL, and BI tools.
150k – 170k/yr
Remote5+ YOEData Analytics
About the role
Responsibilities
Partner with Finance, Operations, and the Data team to understand business processes, source-system workflows, define pipeline requirements, and identify data gaps and downstream reporting impacts.
Own the Finance and Operations data layer and build trusted, reusable data models that support reporting, analysis, and decision-making.
Design and document data flows between source systems such as NetSuite, Ramp, and Pigment into Snowflake and Omni.
Create validation checks, reconciliation workflows, and exception reporting to improve trust in critical Finance/Ops data.
Define and govern key Finance/Operations metrics with business owners, including business logic, data grain, source of truth, ownership, refresh cadence, and known limitations.
Create and maintain dashboards, from executive-level summaries to granular self-serve analytics, to communicate performance metrics and support root-cause analysis.
Identify and execute opportunities to automate manual data flows, reporting processes, and reconciliation workflows.
Requirements
5+ years in an analytics role with exposure to financial or operational data sets.
Strong SQL skills and experience building reusable, well-structured data models in a cloud data warehouse environment, ideally Snowflake.
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 understand business processes and translate them into data models, metrics, dashboards, and documentation.
Strong stakeholder management skills, including gathering requirements, managing expectations, pushing back constructively, and communicating tradeoffs.
Comfort working in an early-stage or evolving data environment where systems, pipelines, definitions, and ownership boundaries may still be forming.
Preferred
Experience with source-of-truth systems such as ERP (NetSuite), WMS, TMS (OSCA), or CPM (Pigment).
Experience with wholesalers and EDI.
Compensation
Competitive Salary + Equity Package
For Colorado-based candidates: $150-170k based on experience
For California-based candidates: $150-170k based on experience
401K matching
Wellness, learning, and home-office budgets
Health, Dental & Vision Medical Plans
Unlimited PTO
Company holidays on the first Friday of every month (Excluding November, December, and January)
Skills
SQLSnowflakeomniLookerTableauPower BISigmaNetSuiteramppigmentData ModelingData Qualitymetric governancedashboard development
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