Data and Analytics Engineer
About UsBURLEBO is a growing brand in men's outdoor clothing, dedicated to providing high-quality, durable, and stylish gear for the Athlete, the Outdoors, and the Family. We are passionate about innovation, sustainability, and performance-driven apparel that empowers our team and customers to explore the great outdoors with confidence.Role: Lead Data & Analytics EngineerOverviewWe’re looking for an experienced, proactive data professional to build and lead our data and analytics function from the ground up.We have a growing data environment in GCP (BigQuery, Cloud SQL) across ecommerce, wholesale, and fulfillment systems (Shopify, ShipHero, NuOrder, etc.).This is a foundational role. You will be the first dedicated data hire, responsible for bringing structure to our data, defining how we use it, and helping the company make better decisions.You’ll work directly with leadership and collaborate with a small technical team, while also mentoring junior team members who will support analytics efforts over time.Over time, this role is expected to grow into leading data team as the company scales.This is a hands-on role for someone who enjoys both building systems and developing people.MUST BE ABLE TO WORK IN OFFICE: AUSTIN HQ**ATTENTION: To be considered for position, YOU MUST fill out this survey.** https://go.cultureindex.com/p/PHBamIPqKwUaHWhat You’ll DoBuild the Data FoundationOwn and improve our data environment in GCP (BigQuery, Cloud SQL)Structure and model data across ecommerce, wholesale, and fulfillment systemsDefine core company metrics and ensure consistency across teamsIdentify and resolve data discrepancies across systemsOwn Analytics & ReportingDesign and build dashboards used by leadership and operationsEstablish standardized reporting across departmentsReplace ad-hoc spreadsheet workflows with scalable solutionsEnsure data is accessible and understandable across the companyDrive Business InsightsPartner with leadership to define what we should measure and whyAnalyze product performance, inventory trends, and customer behaviorProactively surface insights that impact revenue, operations, and efficiencyBuild & Develop the Data FunctionAct as the owner of data and analytics within the companyMentor and guide junior team members supporting analytics workEstablish best practices for data modeling, reporting, and governanceHelp define the roadmap and structure for the future data teamContribute to hiring and scaling the team over timeWhat We’re Looking For4–8+ years of experience in data analytics, analytics engineering, or similar rolesStrong SQL skills and experience with modern data warehouses (BigQuery preferred)Experience building and owning dashboards used by business stakeholdersExperience working in environments with messy or evolving dataProven ability to work independently and bring structure to ambiguityStrong communication skills — able to translate data into business insightsExperience mentoring or guiding others (formal or informal)Nice To Have (Not Required)Experience in ecommerce or retail (Shopify, inventory, order data, etc.)Familiarity with GCP (BigQuery, Cloud SQL)Experience with dbt or data modeling frameworksBasic Python for analysis or automationExperience working across multiple operational systems (WMS, ERP, etc.)What Success Looks LikeWithin 6–12 months:Core company metrics are clearly defined and trusted across teamsData discrepancies across systems are identified and significantly reducedLeadership has reliable dashboards for key decisionsReporting is standardized and scalable (not ad-hoc)Junior team members are contributing effectively under your guidanceA clear roadmap exists for how the data function will scale with the businessGrowth OpportunityThis role is designed to evolve into a senior leadership position within the company.As we scale, this person will have the opportunity to:Build and lead a dedicated data teamShape the company’s data strategyInfluence key decisions across operations, merchandising, and growthGrow into a long-term leader within the technology organization