Data Analyst

POSITION SUMMARY

The Data Analyst supports the Data Science, Engineering and Analytics team by helping deliver analytics, reporting, customer intelligence, AI, and data platform capabilities that drive better decisions across the bank.

This role is designed for an early-career analytics professional with a strong technical foundation and a desire to develop across multiple disciplines, including business analytics, data engineering, artificial intelligence, and data science. The position provides broad exposure to enterprise data assets, business stakeholders, and emerging AI initiatives while supporting the bank's Horizon 360 (H360) platform and related analytics programs.

The successful candidate will be curious, analytical, collaborative, and comfortable learning new technologies and business domains.

KEY RESPONSIBILITIES

• Support Business Intelligence Analysts with H360-related requests, enhancements, investigations, and user support tickets.
• Research data issues, validate results, and assist with issue resolution.
• Gather business requirements and translate them into analytical solutions.
• Support ad hoc analysis and customer intelligence requests from business partners.
• Document data definitions, business rules, and reporting requirements.
• Assist with user acceptance testing and validation of H360 enhancements.

POWER BI DEVELOPMENT AND REPORTING

• Develop and enhance Power BI dashboards, reports, and visualizations.
• Build and maintain data models and reporting datasets.
• Monitor report accuracy and resolve reporting issues.
• Design visualizations that communicate meaningful business insights.
• Support enterprise reporting and self-service analytics initiatives.

AI AND DATA SCIENCE PROJECTS

• Support artificial intelligence and advanced analytics initiatives.
• Assist with exploratory data analysis, feature development, and model evaluation.
• Help prepare datasets for machine learning and AI use cases.
• Participate in experimentation, proof-of-concepts, and AI-enabled business solutions.
• Contribute to documentation and monitoring of analytical models and AI solutions.

DATA ENGINEERING AND DATA PLATFORM SUPPORT

• Assist with data integration, data quality, and data pipeline activities.
• Support data preparation and transformation processes within Snowflake and related platforms.
• Write and optimize SQL queries used for analytics and reporting.
• Help identify and resolve data quality issues.
• Participate in development and testing activities supporting enterprise data assets.
• Completes annual compliance courses.
• Adheres specifically to all corporate policies and procedures. Also adheres to Federal and State Regulations and laws: including, the Bank Secrecy Act and the Anti-Money Laundering Act.
• Adheres to our Service Excellence standards and promotes their implementation with peers and associates they support.
• Performs other duties as required.

SUCCESS MEASURES

• During the first 12 months, the Data Analyst is expected to:
• Become a trusted contributor supporting H360 requests and enhancements.
• Independently develop and maintain Power BI reporting solutions.
• Contribute to AI, analytics, and decision support initiatives.
• Demonstrate proficiency in enterprise data platforms and data engineering fundamentals.
• Build strong relationships with business stakeholders and Enterprise Intelligence team members.

GENERAL QUALIFICATIONS

• Knowledge & Experience: These specifications are general guidelines based on the minimum experience normally considered essential to the satisfactory performance of this position. Individual abilities may result in some deviation from these guidelines.
• Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or related field.
• Strong SQL skills.
• Understanding of data analysis, reporting, and visualization concepts.
• Familiarity with Power BI or similar business intelligence tools.
• Strong problem-solving and analytical thinking skills.
• Effective verbal and written communication skills.
• Ability to manage multiple priorities and work collaboratively across teams.

PREFERRED QUALIFICATIONS

Master's degree in Data Analytics, Data Science, Business Analytics, Statistics, or related field.

Experience with Power BI development.

Experience with Snowflake.

Experience with Python, R, or similar analytical programming languages.

Exposure to machine learning, AI, or predictive analytics concepts.

Experience working with cloud data platforms.

Physical Demands/Work Environment: Vision, hearing, speech, dexterity, visual concentration. A valid driver’s license is required. Must have the ability to stand, walk, sit and use hands and fingers. Must have the ability to work the hours and days required to complete the essential functions of the position, as scheduled. The environment is a professional office with standard office equipment.

Cognitive Requirements: Learning, thinking, concentration, ability to exercise self-control, ability to work in a customer relations’ environment. Must be able to pay close attention to detail and be able to work as a member of a team. Must have the ability to interact effectively with co-workers and customers, and exercise self-control and diplomacy in customer and employee relations’ situations. Must have the ability to exercise discretion as well as appropriate judgments when necessary.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.