This job posting has expired
Expired on April 1, 2026
Job Description
We are seeking a Senior Data Analyst to deliver data-driven solutions that optimize fleet utilization and operational efficiency across 46,000+ assets in 545+ locations. You will enable decision-making through demand forecasting, asset cascading, contract analysis, and risk detection, partnering with engineering and business stakeholders to take models from concept to production on AWS.
Responsibilities
- Design and develop ETL/ELT pipelines using Snowflake, Snowpipe, internal systems, Salesforce, SharePoint, and DocuSign
- Build and maintain dimensional data models in Snowflake using dbt, including data quality checks
- Implement CDC patterns for near real-time data synchronization
- Manage and evolve the data platform across S3 Data Lake (Apache Iceberg) and Snowflake data warehouse
- Build and maintain Medallion architecture data lake in Snowflake
- Prepare ML features using SageMaker Feature Store
- Develop analytical dashboards and reports in Power BI
Qualifications
- 5+ years of experience in data analysis or data engineering
- 3+ years of hands-on experience building and supporting production ETL/ELT pipelines
- Advanced SQL skills (CTEs, window functions, performance optimization)
- Strong Python skills (pandas, API integrations)
- Proven experience with Snowflake
- Solid knowledge of AWS services: S3, Lambda, EventBridge, IAM, CloudWatch, Step Functions
- Strong understanding of dimensional data modeling (Kimball methodology, SCDs)
- Experience working with enterprise systems (ERP, CRM, or similar)