Job Title: Data Analyst
Location: Juno Beach, FL (100% Onsite, Monday–Friday)
Position Type: Contract – 1 Year (with potential extensions)
Pay Rate: $45/hour (W2)
Work Authorization: U.S. Citizens or Visa Holders (no C2C or sponsorship available)
Position Overview:
We are seeking a highly skilled Data Analyst to support a fast-paced, data-driven environment focused on optimizing and expanding our data infrastructure. This position requires a hands-on professional with strong expertise in data warehousing, ETL development, data modeling, and data analytics, with a deep working knowledge of AWS Redshift, DBT, Python, SQL, and GIT integration.
You will be embedded in a collaborative environment and work closely with analysts, scientists, and business stakeholders to create meaningful insights and support decision-making across the organization.
Key Responsibilities:
- Data Warehousing: Design, implement, and manage scalable and high-performance data warehouses using AWS Redshift
- ETL Development: Build and maintain robust ETL pipelines using DBT, integrating data from multiple sources
- Data Modeling: Develop and maintain logical and physical data models aligned with business requirements
- SQL & Python Development: Write efficient SQL and Python code to extract, clean, analyze, and deliver actionable insights
- Automation: Create scripts and tools to automate processes and integrate external systems
- Performance Optimization: Monitor, troubleshoot, and tune data processes for performance and accuracy
- Collaboration: Engage cross-functionally with business teams, data scientists, and engineers to support analytics initiatives and reporting needs
Required Qualifications:
- 3+ years of experience in a Data Analyst or Data Engineer role
- Proficient in SQL, Python, and ETL pipeline development
- Hands-on experience with AWS Redshift and DBT
- Solid understanding of data warehousing concepts, data governance, and analytics best practices
- Familiar with GIT for version control and integration
- Strong analytical thinking and problem-solving skills
- Excellent written and verbal communication skills
Preferred Skills:
- Experience working with large-scale datasets and real-time data pipelines
- Prior exposure to data visualization tools (e.g., Tableau, Power BI)
- Familiarity with cloud infrastructure (AWS environment preferred)