Analytics Engineer

RYZE

Analytics Engineer building Snowflake/dbt data infrastructure and actionable dashboards for a fully remote global superfoods company. Supporting finance, operations, ecommerce, and retention analytics.

Posted 8/10/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL, dbt, and Snowflake for data modeling and analysis, while effectively translating complex data into actionable insights for diverse stakeholders. Proficient in managing ELT pipelines and ensuring data quality and governance across various platforms.

Highest-signal resume keywords

SQL ProficiencyDbt Model DevelopmentSnowflake ExperienceFivetran ManagementData Quality Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLDbtData ModelingData AnalysisPythonRCohort AnalysisSubscription Metrics AnalysisData Integration TroubleshootingData Governance

Soft Skills

Problem-SolvingCommunicationProactive MindsetOwnership

Tools & Technologies

FivetranNetSuiteSigmaLookerTableauShopifyRechargeKlaviyoAmplitude

Industry Keywords

EcommerceDTCFinancial ReportingOperational Reporting

Tech Stack

Tools & technologies

CloudERPPythonSQLTableau

About the role

Key responsibilities & impact

Own the data foundation, including dbt models, Fivetran connectors, and warehouse hygiene
Partner with operations and finance stakeholders to translate business questions into analyses and Sigma dashboards
Write production-quality SQL for ad hoc analysis, cohort analysis, and recurring reporting
Build and maintain dbt models in Snowflake for company-wide reporting
Own and monitor Fivetran connectors, troubleshoot synchronization issues, and onboard new data sources
Model NetSuite/ERP data for financial and operational reporting
Contribute to data quality and governance through testing, documentation, and standards
Support ecommerce and retention analytics, including subscription behavior, LTV, and channel performance

Requirements

What you’ll need

2–5 years of experience as an Analytics Engineer, Data Analyst, or Data Scientist
Strong SQL skills, including scalable, efficient, and maintainable queries
Ability to translate complex data into actionable insights for technical and non-technical stakeholders
Hands-on experience with Snowflake or a comparable cloud data warehouse
Experience building and maintaining data models using dbt
Experience managing ELT pipelines and troubleshooting data integration issues, such as Fivetran
Experience working with large, complex, and imperfect datasets
Strong problem-solving skills and a proactive, ownership-driven mindset
Excellent communication skills and experience presenting findings to business stakeholders
Experience with NetSuite or other ERP systems
Familiarity with DTC/ecommerce platforms such as Shopify, Recharge, Klaviyo, or Amplitude
Experience analyzing subscription metrics, including retention, churn, LTV, and cohort analysis
Proficiency in Python or R for advanced data analysis and automation
Experience with BI and visualization tools such as Sigma, Looker, or Tableau; Sigma experience preferred

Benefits

Comp & perks

Fully remote work
Global company environment
Mission-driven work supporting whole body health through superfoods