RYZE Inc.
RYZE Inc.

Analytics Engineer

TLDR

Build dbt models and Fivetran pipelines in Snowflake while translating business questions into Sigma dashboards and retention insights.

COMPANY


ROLE & RESPONSIBILITIES

We’re hiring an Analytics Engineer to join our data team. This is a hybrid role that sits at the intersection of infrastructure and analysis — you’ll own the foundation (dbt models, Fivetran connectors, warehouse hygiene) and use it to deliver insights that ops, finance, and leadership actually act on.

You’re not just a pipeline builder and you’re not just an analyst. You’re the person who does both well — someone who cares as much about whether the model is clean and tested as whether the dashboard answers the right question.

  • Partner directly with ops and finance stakeholders to translate business questions into clean, reliable analyses and Sigma dashboards.

  • Write production-quality SQL for ad hoc analysis, cohort work, and recurring reporting.

  • Build and maintain dbt models in Snowflake that power reporting across the company.

  • Own and monitor a set of Fivetran connectors — keeping pipelines healthy, troubleshooting sync issues, and onboarding new sources.

  • Model NetSuite/ERP data for financial and operational reporting.

  • Contribute to data quality and governance — testing, documentation, and standards that keep our warehouse trustworthy.

  • Flex into ecommerce and retention analytics as team priorities shift — subscription behavior, LTV, channel performance.

PROFESSIONAL QUALIFICATIONS

  • 2–5 years of experience as an Analytics Engineer, Data Analyst, or Data Scientist.

  • Strong SQL skills with the ability to write scalable, efficient, and maintainable queries.

  • Ability to translate complex data into actionable insights for both technical and non-technical stakeholders.

  • Hands-on experience with Snowflake or a comparable cloud data warehouse.

  • Experience building and maintaining data models using dbt.

  • Proven experience managing ELT pipelines and troubleshooting data integration issues (e.g., Fivetran or similar tools).

  • Experience working with large, complex, and imperfect datasets to create reliable, business-ready data models.

  • Strong problem-solving skills with a proactive, ownership-driven mindset and the ability to identify and resolve issues independently.

  • Excellent communication skills with experience presenting findings and recommendations to business stakeholders.

  • Experience working with NetSuite or other ERP systems.

  • Familiarity with the DTC/eCommerce technology stack, including Shopify, Recharge, Klaviyo, Amplitude, or similar platforms.

  • Experience analyzing subscription-based business metrics, including retention, churn, lifetime value (LTV), and cohort analysis.

  • Proficiency in Python or R for advanced data analysis and automation.

  • Experience with business intelligence and visualization tools such as Sigma, Looker, Tableau, or similar (Sigma experience preferred).

PERSONAL CHARACTERISTICS

  • Analytical Thinker – Uses data to solve complex business problems and identify actionable opportunities.

  • Ownership Mentality – Takes initiative, proactively identifies issues, and follows through to resolution without waiting for direction.

  • Business Curious – Seeks to understand the "why" behind the data and partners with stakeholders to drive informed decisions.

  • Problem Solver – Thrives in diagnosing data issues, uncovering root causes, and implementing scalable solutions.

  • Detail-Oriented – Maintains a high level of accuracy while working with complex datasets and reporting.

  • Adaptable – Comfortable shifting priorities and supporting evolving business needs across analytics, finance, and ecommerce.

  • Collaborative Partner – Builds strong relationships with cross-functional teams and effectively translates technical concepts into business language.

  • Continuous Learner – Stays current on analytics best practices, emerging technologies, and data engineering methodologies.

  • Quality-Focused – Committed to maintaining high standards for data accuracy, documentation, governance, and reporting reliability.

  • Accountable – Takes responsibility for deliverables, meets deadlines, and ensures data products are dependable and trusted.


WHAT WE OFFER

Benefits

Remote-Friendly

Fully remote role

RYZE Inc. creates mushroom coffee and superfood products designed to enhance wellness and mental clarity. Targeting health-conscious consumers, our innovative offerings aim to elevate daily rituals and unlock individual potential. We're not just about products; we're building a community centered on transformative health.

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