Analyst – Business Analysis

Bachelor’s Degree in business, statistics, finance, or related technical field required
Experience using computer languages (Python, SQL)
Knowledge of statistical programming languages and database query languages including SQL with the ability to manipulate data and draw insights from large data sets
Knowledge of machine learning techniques (clustering, decision trees, neural networks, graph ML, OCR, sentiment analysis, etc.) and their real-world advantages/drawbacks
Knowledge of advanced statistical techniques and concepts and experience with applications including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.
Proficiency in statistics is essential
Data Wrangling – proficiency in handling imperfections in data
Experience with Data Visualization Tools like Tableau
Problem-solving aptitude
A drive to learn and master new technologies and techniques
Meticulous attention to detail
Must demonstrate excellent written and oral communication skills
Must be a flexible, independent team player with a positive attitude and willingness to step-in to provide support as needed while adapting to changing priorities and projects
Ability to prioritize projects and tasks
Analytical mind and great business sense

Research, gather data, and perform analysis to interpret raw data and extract valuable meaning to find patterns and develop solutions that for our organization to grow and compete
Analyze customer data to identify trends and insights that can drive bank strategies and product development
Collaborate on designing and building scalable data pipelines to support data ingestion for analytics and models
Assist in productionizing various models
Utilize Machine Learning and AI techniques to segment customer data and provide insights into customer behaviors and preferences
Data mine and/or extract usable data from valuable data sources
Carry out preprocessing of structured and unstructured data
Enhance data collection procedures to include all relevant information for developing analytic systems
Process, cleanse, and validate the integrity of data to be used for analysis
Analyze large amounts of information to find patterns and solutions
Propose solutions and strategies to tackle business challenges
Provide insights into business and data trends, including analytical modeling around various banking metrics
Collaborate with Business and IT teams to develops ad hoc/custom projects in support of business line partners
Develop recommendations to solve problems and issues related to business operations
Present results in a clear manner and document all aspects of code and analysis to ensure continuity

Knowledge of cloud-based Snowflake, AWS SageMaker, Power BI, SAS/ SAS EG experience is desirable