Analytics Engineer – Marketing Data Warehouse

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🕒 June 1

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Accelon Consulting

WebsiteLinkedInAll Job Openings

51 - 200 employees

Accelon delivers flexible, high-performing talent solutions through four core models: Talent as a Service, Talent on Demand, Workforce Strategy, and MSP Services. These models enable organizations to globally deploy skilled professionals quickly and manage projects of any scale—efficiently and cost-effectively. Whether you are scaling a team for a high-impact initiative or need specialized expertise for critical roles, we deliver the right talent, precisely where and when it’s needed. Our differentiator lies in our talent network which spans industries, disciplines, and time zones—allowing us to build blended teams that align skill, quality, and cost, regardless of location.

📋 Description

• Design, develop, and maintain scalable marketing data warehouses and data models. • Build and optimize data pipelines to support reporting and analytics needs. • Integrate data from multiple marketing and business systems into centralized data platforms. • Collaborate with Marketing, Sales, Finance, and Engineering teams to deliver actionable insights. • Support dashboard development, campaign performance analysis, attribution modeling, and customer segmentation. • Ensure data quality, consistency, governance, and documentation across analytics environments. • Maintain standardized KPIs, metrics, and reporting frameworks.

🎯 Requirements

• Strong SQL expertise (Must Have) • Experience building and maintaining data warehouses • Strong data modeling experience • Hands-on experience with Snowflake or similar cloud data warehouse platforms • Knowledge of data transformation and ETL/ELT processes • Understanding of data governance and data quality best practices • Power BI experience • Scripting or programming experience • GitHub / Git version control • Experience with dbt, Fivetran, or similar data pipeline tools • Familiarity with AI tools such as Claude • Experience working with marketing analytics platforms such as Salesforce, Marketo, Adobe, or Google Analytics • Marketing analytics or marketing operations experience • Experience translating complex data concepts into business insights • Exposure to predictive or prescriptive analytics

🏖️ Benefits

• healthcare plans • Sick leave is provided under the state laws applicable to your residence.