Analytics Engineer

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.