Intern Data Analytics Finance

Intern - Data Analytics, Finance at Burke & Herbert Bank & Trust — Research Report

Introduction

The Intern - Data Analytics, Finance role at Burke & Herbert Bank & Trust offers a practical entry point into banking analytics, financial reporting, and business intelligence. Rather than working only with classroom exercises, an intern can expect to connect data quality, reporting accuracy, and financial performance to decisions made by branch, lending, operations, and executive teams.

The internship location is Alexandria, Virginia, and the deadline is not specified. Because banking internships often recruit ahead of the summer term, candidates should monitor the employer’s career channels and apply as soon as the position becomes available. The experience can build a strong foundation for careers in financial analysis, business intelligence, risk, commercial banking, and data governance.

Overview of Burke & Herbert Bank

Burke & Herbert Bank & Trust is a community banking institution headquartered in Alexandria, Virginia. Founded in 1852, it serves individuals, businesses, nonprofit organizations, and public-sector customers through personal and commercial financial services.

The bank’s offerings include deposit accounts, consumer and commercial lending, residential mortgages, home equity products, treasury and cash-management services, credit cards, online and mobile banking, wealth management, trust, and investment services. Its commercial activities include real estate financing, construction loans, and credit lines for small and middle-market businesses.

Burke & Herbert operates in a different competitive space from national banks. Its competitors may include regional institutions, credit unions, and large banks such as Truist, Capital One, Bank of America, and Wells Fargo, but its community-bank identity emphasizes relationship management, local market knowledge, and tailored service.

The company has expanded beyond its historic Virginia base. Recent company materials describe more than 100 branches across Delaware, Kentucky, Maryland, Pennsylvania, Virginia, and West Virginia, giving the institution a larger operating footprint while retaining a community-banking focus. That footprint creates demand for consistent reporting, standardized data definitions, and analytics that can compare performance across markets.

People are attracted to Burke & Herbert because the organization combines a long operating history with exposure to modern banking challenges. An intern can potentially see how analytics supports lending, deposit growth, branch performance, customer retention, operational efficiency, and regulatory awareness rather than analyzing data in isolation.

Intern - Data Analytics, Finance Role

Role Overview

The Intern - Data Analytics, Finance position is likely to support financial and operational analysis under the guidance of finance, analytics, or business-intelligence professionals. The work may involve gathering information from multiple systems, checking its accuracy, building recurring reports, investigating unusual results, and translating findings into concise recommendations.

Comparable Burke & Herbert data-analysis work emphasizes accurate, timely, actionable reporting across departments. Reported tools for related data roles include IBM Cognos, SQL, Python, and other business-intelligence technologies. An intern may not be expected to master every platform, but should demonstrate the ability to learn systems quickly and explain analytical conclusions clearly.

Detailed Responsibilities

• Clean and reconcile financial, deposit, lending, expense, or branch-performance data.
• Use Excel formulas, pivot tables, lookups, and charts to support analysis.
• Assist with recurring management reports and ad hoc finance requests.
• Compare actual results with budgets, forecasts, prior periods, or performance targets.
• Investigate missing values, duplicate records, unexpected totals, and inconsistent definitions.
• Prepare dashboards or visual summaries for nontechnical stakeholders.
• Document data sources, calculation logic, assumptions, and quality checks.
• Support process-improvement projects involving reporting automation or workflow efficiency.
• Present findings to supervisors and revise deliverables based on feedback.

Day-to-Day Workflow

A typical morning may begin with a team check-in covering reporting deadlines, data issues, and priority requests. The intern might then download or query source data, review field definitions, and perform checks before calculating metrics. In banking, a polished chart is not useful if the underlying account population or reporting period is wrong, so validation is an important part of the work.

The afternoon could involve updating an Excel model, building a Cognos report, writing a basic SQL query, or comparing a new data extract with the previous month’s results. The intern may meet with a finance partner who wants a number explained rather than merely delivered. Before the day ends, the intern would typically document changes, flag unresolved questions, and confirm the next action with the project owner.

Tools and Technologies

Excel is likely to be the most important day-one tool. Candidates should be comfortable with XLOOKUP or VLOOKUP, SUMIFS, IF statements, conditional formatting, pivot tables, data validation, charts, and basic error checking. Familiarity with Power Query is a useful advantage because it demonstrates an ability to make repeatable data-cleaning steps.

Related Burke & Herbert analytics roles reference IBM Cognos, SQL, and Python. Depending on the team, interns may also encounter Microsoft Power BI, SharePoint, enterprise reporting databases, core-banking platforms, and presentation tools such as PowerPoint. The strongest applicants focus less on listing software and more on showing what they built with it.

Skills and Requirements

Technical Skills

• Intermediate Excel, including pivot tables, lookups, logical formulas, and chart design.
• Basic SQL for filtering, joining, grouping, and aggregating data.
• Understanding of financial statements, budgeting, forecasting, and variance analysis.
• Comfort with descriptive statistics, data visualization, and quality-control procedures.
• Basic Python or another scripting language for data preparation is beneficial.
• Awareness of banking concepts such as deposits, loans, net interest income, credit risk, and regulatory reporting.
• Ability to protect confidential customer and financial information.

Soft Skills

Accuracy matters, but communication separates a useful intern from a merely technical one. Finance stakeholders need someone who can explain what changed, why it changed, how confident the analysis is, and what should happen next.

• Curiosity when numbers do not reconcile.
• Clear written communication and organized documentation.
• Professional judgment with sensitive information.
• Willingness to ask precise questions.
• Reliability with deadlines and recurring deliverables.
• Collaboration with finance, operations, technology, and business teams.

Experience Expectations

This role is designed for a student or early-career candidate, so extensive professional experience should not be necessary. Relevant coursework in finance, accounting, economics, business analytics, information systems, statistics, computer science, or a related discipline can establish the foundation.

A strong application may include a class project analyzing expenses, bank deposits, retail transactions, loan performance, or public-company financial data. A GPA around 3.0 or higher is generally competitive, although evidence of analytical ability, initiative, and communication can matter more than a single number. Candidates should be ready to discuss one project in detail, including the data-cleaning decisions and limitations.

Salary and Benefits

A realistic market estimate for a finance or data-analytics internship in the Alexandria and Washington, D.C., region is approximately $20 to $30 per hour, with the exact figure depending on academic level, technical skills, program structure, and whether the position is part-time or full-time. This is an estimate rather than a confirmed Burke & Herbert pay range.

Potential benefits may include exposure to senior banking professionals, structured mentorship, networking with business units, professional-development sessions, and hands-on experience with regulated financial data. Candidates should confirm whether the role is onsite, hybrid, or eligible for any commuting or relocation support.

Conversion to a full-time analyst position is not guaranteed, but interns improve their chances by producing reliable work, developing internal relationships, and showing interest in a continuing role. A strong final presentation or documented process improvement can give managers a concrete reason to recommend a return offer.

Burke & Herbert Hiring Process

Step-by-Step Hiring Stages

1. Application: Submit a targeted resume emphasizing Excel, SQL, finance coursework, and analytical projects.
2. Screening: Complete a recruiter or hiring-team conversation about availability, academics, location, and motivation.
3. Assignment: Some candidates may receive a short Excel exercise, data interpretation task, or case discussion.
4. Interviews: Meet with finance, analytics, human-resources, or business leaders.
5. Offer: Review compensation, schedule, start date, work location, and any employment conditions.

Application Timeline

Because the deadline is not specified, applicants should not wait for a final date. Internship hiring commonly occurs several months before the start term, and an organized process may take two to six weeks from application to offer. Candidates should maintain a simple application tracker and follow up professionally after seven to ten business days if no timeline is provided.

Screening Methods

An applicant-tracking system may favor terms such as data analysis, financial reporting, Excel, SQL, forecasting, variance analysis, dashboard, business intelligence, data validation, and Power BI. Use those terms naturally in a skills section and in project descriptions, but do not claim proficiency that cannot be demonstrated.

Recruiters may also look for evidence that the candidate can work in a controlled environment. Mention quality checks, documentation, version control, confidentiality, and stakeholder communication when those details are true.

Interview Preparation

Example Interview Questions

• Tell us about a project in which you cleaned and analyzed an imperfect dataset.
• How would you investigate a major difference between a monthly finance report and the general ledger?
• Which Excel functions or SQL techniques do you use most often?
• How would you explain an unexpected financial trend to a manager who is not technical?

How to Answer

Use the STAR method: describe the situation, define the task, explain the actions you took, and quantify the result. For example, discuss how you found duplicate records, created a validation rule, reduced manual checking time, or improved confidence in a class project’s conclusions.

For technical questions, explain your reasoning before naming a tool. If asked about a reconciliation problem, mention checking definitions, dates, filters, joins, aggregation levels, and source-system differences. That answer shows practical judgment rather than memorized terminology.

What Recruiters Evaluate

Interviewers will likely assess whether you are careful with numbers, comfortable learning unfamiliar systems, and capable of communicating with people outside analytics. They will also look for maturity around confidential information and whether you understand that banking decisions require both speed and control.

How to Get Selected

Practical Tips

• Build a one-page resume around analytics, finance, and measurable project results.
• Include a portfolio project with a dashboard, SQL file, or documented Excel model.
• Practice explaining every chart in plain English.
• Research Burke & Herbert’s community-bank model and its commercial and consumer businesses.
• Prepare thoughtful questions about reporting priorities, mentorship, data governance, and intern deliverables.
• Send a concise thank-you note that references a specific interview discussion.

Common Mistakes To Avoid

• Submitting a generic resume aimed at every finance job.
• Listing Python, SQL, or Power BI without being able to demonstrate basic use.
• Discussing analysis without mentioning data validation.
• Overlooking confidentiality and regulatory expectations.
• Giving a highly technical answer without explaining its business meaning.
• Failing to confirm availability for the Alexandria work location.

How to Stand Out

Create a small banking-focused portfolio project using public data. Analyze deposit growth, branch locations, mortgage trends, or a bank’s quarterly financial statements, then present three insights and two limitations. The goal is not to imitate internal data; it is to show that you can connect financial metrics to business decisions.

Networking can also help. Reach out to alumni, local finance professionals, or employees through professional platforms with a short message focused on learning about the role. Ask specific questions about the team’s analytics work rather than requesting a referral immediately. A tailored application that reflects the bank’s community orientation and data needs will be more memorable.

Final Thoughts

The Burke & Herbert Bank & Trust internship can provide unusually broad exposure for an early-career analyst because community banking connects finance, operations, technology, risk, and customer outcomes. The strongest candidate will not simply say, “I like data.” That candidate will show how accurate data helps a bank make better decisions.

Start by strengthening Excel and SQL, prepare one finance-oriented project, tailor the resume to the Intern - Data Analytics, Finance position, and monitor the employer’s postings because no deadline has been specified. With disciplined preparation and clear communication, this role can become a strong launch point for a career in banking analytics.

Frequently Asked Questions

What Is The Salary?

The estimated range is approximately $20 to $30 per hour for a comparable finance or data-analytics internship in the Alexandria and Washington, D.C., market. Burke & Herbert’s actual offer may differ based on the program, schedule, and candidate qualifications.

How Competitive Is Hiring?

The role is likely competitive because it combines finance, analytics, and banking experience in a major metropolitan market. Candidates with practical Excel or SQL projects, strong communication, and a clear interest in community banking can improve their odds.

Which Skills Matter Most?

Excel, data validation, financial reasoning, basic SQL, and communication are the most important skills. Familiarity with IBM Cognos, Power BI, Python, or comparable reporting tools can provide an advantage, while curiosity and careful handling of confidential data are essential.