Senior Analytics Engineer

Senior Analytics EngineerOverviewA rapidly growing consumer products company is seeking a Senior Analytics Engineer to help build and scale a modern data platform. This role sits at the intersection of analytics engineering, data infrastructure, and business intelligence, enabling teams across the organization to make data-driven decisions.The company operates a U.S.-based manufacturing environment and a strong direct-to-consumer ecommerce platform. As the organization continues to scale, the data function is being built from the ground up, creating an opportunity for a hands-on engineer to shape the architecture, pipelines, and analytics capabilities of the business.ResponsibilitiesData Platform DevelopmentBuild, maintain, and optimize data models using SQL and DBTSupport migration and development of a centralized data warehouse environmentDesign scalable data architecture and transformation layersImprove reliability, performance, and maintainability of analytics infrastructureData Pipeline EngineeringDevelop and maintain ETL/ELT pipelines using modern data toolsExpand and optimize ingestion pipelines from operational systemsWrite custom workflows and integrations using PythonEnsure data quality, monitoring, and pipeline stabilityBusiness Intelligence & AnalyticsDevelop and maintain dashboards and reporting solutionsEnable self-service analytics for business teamsWork directly with stakeholders to translate business needs into data solutionsSupport analytics across key functions including:Supply chainEcommerce performanceMarketing analyticsSales performanceForecasting and operationsData Governance & ReliabilityEstablish trusted datasets and consistent data definitionsImprove data documentation and discoverabilityTroubleshoot data issues and analytics requests across teamsEnsure long-term scalability of the analytics ecosystemRequired Qualifications4+ years of experience working with SQL4+ years of experience using DBT4+ years of experience building dashboards and BI solutionsExperience building and managing data pipelines and ETL workflowsStrong understanding of data warehousing conceptsAbility to work independently in a fast-paced, evolving environmentStrong communication skills and experience collaborating with non-technical stakeholdersPreferred QualificationsExperience working with BigQueryExperience building dashboards in LookerPython for data workflows or ingestion pipelinesExperience with ecommerce analyticsExperience analyzing Shopify or similar commerce platformsExperience working with manufacturing or supply chain dataIdeal Candidate BackgroundStrong candidates often come from:Ecommerce organizationsManufacturing companiesBusinesses operating direct-to-consumer sales modelsMid-sized companies where individuals have broad ownership of the data stackExperience analyzingEcommerce sales performanceSupply chain operationsMarketing attributionProduct and operational dataWork EnvironmentHybrid work model with 2–3 days per week in officeCollaboration with a small technical team including IT and data scienceFast-paced environment with significant opportunity to influence the company’s data strategyHigh level of autonomy and ownership over technical solutionsWhat We're Looking ForCurious and evidence-drivenComfortable working with ambiguitySelf-directed and proactivePassionate about learning new technologiesA strong problem solver who enjoys building scalable systems