Senior Business Data Analyst
Primary Purpose
The Senior Business Data Analyst will be part of TowneBank’s centralized reporting teams. The role transforms complex loan data and regulatory requirements into Power BI dashboards that inform internal stakeholders and track the health of TowneBank’s lending activities. The analyst will translate loan data, credit processes, and regulatory reporting requirements into robust data solutions and portfolio reporting that deliver actionable insights across the lending lifecycle. Desired skills include proficiency in Power BI reporting platforms and the ability to work with senior management through report writers to deliver “WOW” solutions. The role also involves challenging the status quo, being inquisitive, and participating in strategic discussions.
Responsibilities
- Monitor and report on loan portfolio performance, including delinquency rates, charge‑offs, and loan‑to‑value (LTV) ratios.
- Develop visualizations for credit risk indicators such as Non‑Performing Loans (NPL), Debt Service Coverage Ratios (DSCR), and credit concentration.
- Translate regulatory reporting requirements (e.g., FDIC Call Reports) into automated data solutions.
- Foster strategic relationships with key stakeholders, understand their data needs, and align reporting and analytical solutions accordingly.
- Assess current report usage across similar roles and identify efficiencies.
- Drive data cleansing, optimize data flow, build reporting and dashboards, and maintain tools for data consumption.
- Present fact‑based recommendations clearly and concisely, “telling a story” with data.
- Provide thought leadership on processes and tools that align with strategic objectives.
- Collaborate across business lines/functions to define, sequence, and execute data roadmaps.
- Manage multiple initiatives to completion under concurrent, rigorous, and regulatory deadlines in a fast‑paced environment.
- Maintain overall understanding of commercial data to address organizational and user needs.
- Adhere to applicable federal laws, rules, and regulations, including Anti‑Money Laundering (AML) and the Bank Secrecy Act (BSA).
- Perform other duties as assigned.
Minimum Required Skills & Competencies
- Financial services background with 3‑5 years of working knowledge of core banking systems.
- 5+ years of data analytics and reporting experience.
- Ability to quickly learn and build complex semantic models in Power BI.
- Cloud background with understanding of basic cloud architecture concepts.
- Strong management abilities and capability to recognize and develop other management personnel.
- Demonstrated strong leadership qualities.
- Excellent communication and sales skills.
- High degree of personal integrity.
Desired Skills & Competencies
- Data modeling & visualization using Power BI, Databricks, SQL, and DAX to clean and shape raw data from core banking systems.
- Knowledge of automation, ETL/ELT, virtual tables, DAX, Power Query M, and related concepts.
- Advanced degree or industry designations.
- Self‑motivated with ability to work independently and under pressure.
- Experience developing and executing data strategies.
- Strong interpersonal and leadership skills.
- Attention to detail and high level of organization/follow‑through.
Physical Requirements
- Express ideas verbally and via email.
- Occasionally exert up to 10 pounds of force, use arms and legs, and sit for most of the time.
- Close visual acuity for analyzing data, viewing computer terminals, reading, and preparing documentation.
- Not substantially exposed to adverse environmental conditions.
- Reasonable accommodations may be made for individuals with disabilities.
Pay
The good‑faith compensation range for this role is $110,000 – $150,000, based on role, market, internal equity, and candidate qualifications. Candidates residing outside the Hampton Roads, VA area may be required to travel occasionally to Norfolk and/or Suffolk, VA on a case‑by‑case basis.