Senior Analytics Engineer

Harnham

United States

United States

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Senior Analytics Engineer Overview A 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. Responsibilities Data Platform Development Build, maintain, and optimize data models using SQL and DBT Support migration and development of a centralized data warehouse environment Design scalable data architecture and transformation layers Improve reliability, performance, and maintainability of analytics infrastructure Data Pipeline Engineering Develop and maintain
ETL/ELT pipelines
using modern data tools Expand and optimize ingestion pipelines from operational systems Write custom workflows and integrations using Python Ensure data quality, monitoring, and pipeline stability Business Intelligence & Analytics Develop and maintain dashboards and reporting solutions Enable self-service analytics for business teams Work directly with stakeholders to translate business needs into data solutions Support analytics across key functions including: Supply chain Ecommerce performance Marketing analytics Sales performance Forecasting and operations Data Governance & Reliability Establish trusted datasets and consistent data definitions Improve data documentation and discoverability Troubleshoot data issues and analytics requests across teams Ensure long-term scalability of the analytics ecosystem Required Qualifications 4+ years of experience working with SQL 4+ years of experience using DBT 4+ years of experience building dashboards and BI solutions Experience building and managing data pipelines and ETL workflows Strong understanding of data warehousing concepts Ability to work independently in a fast-paced, evolving environment Strong communication skills and experience collaborating with non-technical stakeholders Preferred Qualifications Experience working with BigQuery Experience building dashboards in Looker Pythonfor data workflows or ingestion pipelines Experience with ecommerce analytics Experience analyzing Shopify or similar commerce platforms Experience working with manufacturing or supply chain data Ideal Candidate Background Strong candidates often come from: Ecommerce organizations Manufacturing companies Businesses operating direct-to-consumer sales models Mid-sized companies where individuals have broad ownership of the data stack Experience analyzing Ecommerce sales performance Supply chain operations Marketing attribution Product and operational data Work Environment Hybrid work model with 2–3 days per week in office Collaboration with a small technical team including IT and data science Fast-paced environment with significant opportunity to influence the company’s data strategy High level of autonomy and ownership over technical solutions What We're Looking For Curious and evidence-driven Comfortable working with ambiguity Self-directed and proactive Passionate about learning new technologies A strong problem solver who enjoys building scalable systems

United States

Sprachkenntnisse

English

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