Analytics Engineer

**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** =================