Webster is a commercial bank providing financial services to various clients. As an Analyst in Business Analysis, you will work with the Data Product Analytics team to deliver Predictive AI solutions, involving data collection, analysis, and model development.
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.
Qualification
Required
Bachelor’s Degree in business, statistics, finance, or related technical field required
Experience using computer languages (Python, SQL)
Programming Skills – 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
Problem-solving aptitude
A drive to learn and master new technologies and techniques.
Meticulous attention to detail.
A motivated self-starter and knowledge seeker.
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.
Effectively engage and communicate with colleagues.
Ability to describe findings to a technical and non-technical audience.
Ability to prioritize projects and tasks.
Analytical mind and great business sense
Preferred
Knowledge of cloud-based Snowflake, AWS SageMaker, Power BI, SAS/ SAS EG experience is desirable.
Experience with Data Visualization Tools like Tableau
Benefits
Incentive compensation
Webster is a commercial bank that provides financial services to corporations, individuals, families, and partners.
