Business Analyst I

DESCRIPTION

BASIC QUALIFICATIONS

• 4+ years of building financial and operational reports/data sets that inform business decision-making experience
• Knowledge of SQL or Python
• • 4+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science, or related field
• • 2+ years of relevant experience in building automations using AWS services like AWS Lambda, S3, Glue, Redshift, QuickSuite, EventBridge, Step Function etc.
• • 1+ years of experience in building AI based risk automation, quality control, anomaly detection, or defect prediction using self-serve AI tools. Knowledge of AI-powered automation tools and frameworks.
• • Experience with data modeling, SQL, ETL, data warehousing, and data lakes with specialist-level SQL proficiency.
• • Experience with API integrations for reading data from applications and feeding into AI/LLM for insights/actions.
• • Proficiency with Python (Mandatory) and experience applying AI/ML libraries for business analytics.
• • Knowledge of standard software including Excel, Access, Oracle, Essbase, SQL, and VBA
• • Good experience with engineering and operations best practices (version control, data quality/testing, monitoring)
• • Excellent verbal/written communication and data presentation skills, with ability to summarize key findings and communicate effectively with both business and technical teams
• • 2+ years of participating in continuous improvement projects with measurable results
• • 2+ years’ experience of RPA development using UiPath (Expert level)
• • Background in collections, accounts receivable, or financial operations quality assurance
• • Experience with natural language processing (NLP) for text analytics
• • Familiarity with statistical modeling and predictive analytics platforms
• Technical Skills
• • AWS cloud services (Lambda, Glue, Redshift, S3, SageMaker, EventBridge, Step Function)
• • AI/ML frameworks and libraries (scikit-learn, TensorFlow, PyTorch, etc.)
• • Data visualization tools (QuickSight, Tableau, Power BI)
• • Statistical analysis and predictive modeling
• • ETL processes and data pipeline development

PREFERRED QUALIFICATIONS

• 2+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
• • 2+ years’ experience of RPA development using UiPath (Expert level)
• • Background in collections, accounts receivable, or financial operations quality assurance
• • Experience with natural language processing (NLP) for text analytics
• • Familiarity with statistical modeling and predictive analytics platforms
• Technical Skills
• • Advanced SQL and Python programming
• • AWS cloud services (Lambda, Glue, Redshift, S3, SageMaker, EventBridge, Step Function)
• • AI/ML frameworks and libraries (scikit-learn, TensorFlow, PyTorch, etc.)
• • Data visualization tools (QuickSight, Tableau, Power BI)
• • Statistical analysis and predictive modeling
• • ETL processes and data pipeline development