Senior Data Analyst - Data Management & BI

The Enterprise Data Management Environment requires modernization and design optimization to support evolving business initiatives. Fragmented data ingestion applications and complex production pipelines demand scalable, high-performance architecture to ensure reliable analytical outputs. This role addresses these challenges by developing advanced ETL processes, optimizing cloud infrastructure, and evaluating emerging AI tools to continuously improve warehouse workflows.

What Success Looks Like (Objectives): Design ETL processes, data ingestion mechanisms, and streaming applications utilizing cloud services, SQL, Python, Snowflake, and AWS Redshift Integrate data extracts, loads, and reports seamlessly with business intelligence and analytical applications Maintain core data pipelines while evaluating and resolving critical production issues to ensure minimal downtime Collaborate closely with analysts and engineers by leveraging modern orchestration and ETL tools like Airflow and Databricks Optimize complex SQL queries to maximize system performance and manage the underlying cloud infrastructure effectively Explore and evaluate new technologies with AI tools to continuously improve upon existing Data Warehouse processes Core Skills, Competencies, and Key Experiences (What you’ll bring) Strong skills in designing, optimizing, and modernizing data architectures within an Enterprise Data Management Environment Competency in building scalable ETL processes, data ingestion systems, and streaming applications via AWS, Snowflake, and Redshift Advanced proficiency in SQL optimization, Python automation, and Linux/Unix shell scripting for robust data pipeline maintenance AI Literacy and AI Application skills to proactively evaluate and integrate emerging AI tools into existing warehouse workflows Critical thinking and collaborative problem-solving abilities to resolve complex IT issues and deliver sound data insights across cross-functional teams Additional Qualifications: Experience working within Agile teams to deliver rapid, high-quality data solutions Possession of a Master’s degree in Data Science, Computer Science, or a closely related quantitative field Candidates must be willing to participate in at least one in-person interview.

Minimum Requirements: Minimum Education: Bachelor’s degree in Data Science, Computer Science, or a related field Minimum Experience: 3 years of experience in data warehouse related teams Required Technical Skills: Must have at least 1 year of experience with: SQL Airflow or Control-M orchestration tools RDBMS and modern Data Warehousing concepts Visa sponsorship not available for this role <p