Senior Data Analyst

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. 

Requirements 

• 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 (schema design, Snowpipe, Streams, Tasks, performance tuning, data quality) 
• 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) 

Nice-to-haves 

• Experience with data quality frameworks (Great Expectations, Deequ) 
• Knowledge of CDC tools and concepts (AWS DMS, Kafka, Debezium) 
• Hands-on experience with data lake technologies (Apache Iceberg, Parquet) 
• Exposure to ML data pipelines and feature stores (SageMaker Feature Store) 
• Experience with document processing tools such as Amazon Textract 

Core 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 (Great Expectations, Deequ) 
• 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 

What we offer   

• Continuous learning and career growth opportunities 
• Professional training and English/Spanish language classes   
• Comprehensive medical insurance 
• Mental health support 
• Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more 
• Flexible working hours 
• Inclusive and supportive culture