Business Intelligence Analyst

We are seeking a highly skilled and analytical Business Intelligence (BI) Analyst with expertise in Amazon Web Services (AWS) Data Lake and Redshift environments. The BI Analyst will be responsible for designing, developing, and maintaining BI solutions to support data-driven decision-making. The ideal candidate will have experience in data modeling, ETL processes, dashboard development, and performance optimization.

Key Responsibilities:

• Design, develop, and maintain BI dashboards and reports to visualize business insights.
• Work with large datasets in AWS Data Lake, Redshift, and other AWS data services.
• Optimize ETL processes using AWS Glue, Lambda, and Step Functions.
• Develop and maintain SQL queries for data extraction, transformation, and analysis.
• Ensure data integrity, consistency, and security within AWS environments.
• Collaborate with business stakeholders to understand requirements and translate them into BI solutions.
• Monitor and optimize Redshift clusters for performance and cost efficiency.
• Implement data governance best practices to ensure compliance with industry standards.
• Provide training and support to business users on BI tools and dashboards.

Required Qualifications:

• Bachelor's degree in Computer Science, Data Analytics, Information Systems, or a related field.
• 3+ years of experience in business intelligence, data analysis, or a related field.
• Proficiency in SQL, Python, or other scripting languages for data manipulation.
• Hands-on experience with AWS Redshift, AWS Data Lake, Glue, Athena, and related AWS services.
• Strong experience in data visualization tools such as Tableau, Power BI, or QuickSight.
• Knowledge of ETL tools and processes within AWS environments.
• Experience in performance tuning and optimization for AWS Redshift and large-scale data warehouses.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and interpersonal skills.

Preferred Qualifications:

• AWS certifications (e.g., AWS Certified Data Analytics – Specialty, AWS Solutions Architect).
• Experience with data lake architecture and data cataloging tools.
• Familiarity with machine learning or predictive analytics within AWS.
• Experience with version control and CI/CD practices for data pipelines.

LIMITATIONS AND DISCLAIMER

The above job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position.

All job requirements are subject to possible modification to reasonably accommodate individuals with disabilities. Some requirements may exclude individuals who pose a direct threat or significant risk to the health and safety of themselves or other employees.

This job description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to follow any other job-related instructions and to perform other job-related duties requested by their supervisor in compliance with Federal and State Laws.

Requirements are representative of minimum levels of knowledge, skills and/or abilities. To perform this job successfully, the employee must possess the abilities or aptitudes to perform each duty proficiently. Continued employment remains on an "at-will" basis.

Silgan is an Equal Opportunity Employer. We consider applicants for all positions without regard to race, color, religion, sex, national origin, age, marital status, or the presence of a disability, which would not prevent the performance of essential job duties with, or without reasonable accommodation of any other protective status.

Silgan is a drug-free workplace.