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Senior Analytics EngineerHarnhamUnited States
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Senior Analytics Engineer

Harnham
  • US
    United States
  • US
    United States

À propos

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
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
Marketing analytics
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
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
Ecommerce organizations
Manufacturing companies
Mid‑sized companies where individuals have broad ownership of the data stack
Experience analyzing
Supply chain operations
Marketing attribution
Product and operational data
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
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  • United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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