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
