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Entry Level Financial Data Analyst Jobs in Laurel, MD

Perform data entry, accounting, and detailed analyses of pooled loan data from various mortgage servicers using multiple database systems. * Use Microsoft Excel regularly, including advanced ...

Job Title: Entry Level Financial Analyst Join a dynamic team hiring for entry level financial ... Ability to conduct data entry and perform detailed financial analyses. * Experience in finance ...

Ideal for early-career professionals in financial analytics. Key Responsibilities * Analyze banking and transaction data * Create dashboards using Tableau or Power BI * Write SQL queries for data ...

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Entry Level Financial Data Analyst information

See Laurel, MD salary details

$34.7K

$84.7K

$140.8K

How much do entry level financial data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for entry level financial data analyst in Laurel, MD is $84,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $99,600.00 per year, depending on experience, location, and employer.

What does an entry level financial data analyst do?

An Entry Level Financial Data Analyst is responsible for collecting, processing, and analyzing financial data to help organizations make informed business decisions. They typically work with large datasets, prepare reports, and use statistical tools to identify trends and patterns. Their work supports budgeting, forecasting, and investment strategies, often under the supervision of senior analysts. This role is a great starting point for those interested in finance and data analysis, providing valuable experience with analytical software and financial modeling.

What are the key skills and qualifications needed to thrive as an entry level financial data analyst?

To thrive as an Entry Level Financial Data Analyst, you generally need strong analytical skills, a solid understanding of finance and statistics, and at least a bachelor's degree in finance, economics, or a related field. Proficiency with Excel, SQL, and data visualization tools like Tableau or Power BI is commonly required, and knowledge of programming languages such as Python or R is advantageous. Attention to detail, problem-solving abilities, and effective communication are essential soft skills that help you interpret data accurately and present findings clearly. These skills and qualities enable analysts to deliver actionable insights, support business decisions, and contribute to the organization’s financial success.

What are typical challenges faced by entry level financial data analysts when transitioning from academic work to professional environments?

Entry-level financial data analysts often encounter challenges such as adjusting to fast-paced environments, working with large and sometimes unstructured datasets, and adhering to strict deadlines. Unlike academic projects, professional analysis frequently requires collaboration with cross-functional teams, which means communicating complex findings to non-technical stakeholders. Additionally, learning to use industry-standard tools and adapting to the company's data reporting processes can take time, but support from managers and team members helps ease this transition.

What is the difference between Entry Level Financial Data Analyst vs Financial Analyst?

AspectEntry Level Financial Data AnalystFinancial Analyst
Required CredentialsBachelor's degree in finance, accounting, or related field; basic Excel and data analysis skillsBachelor's degree; often requires 1-3 years of experience; advanced Excel, financial modeling, and possibly certifications like CFA
Work EnvironmentEntry-level roles in finance departments, data teams, or consulting firms; focus on data collection and reportingMore analytical responsibilities, strategic planning, and decision support in finance departments or investment firms
Employer & Industry UsageCommon in finance, banking, and corporate sectors for entry-level data tasksUsed across finance, investment banking, asset management, and corporate finance for analysis and forecasting

In summary, an Entry Level Financial Data Analyst focuses on data collection and basic analysis with minimal experience, while a Financial Analyst typically has more experience and handles complex financial modeling and strategic analysis.

What job categories do people searching Entry Level Financial Data Analyst jobs in Laurel, MD look for?

The top searched job categories for Entry Level Financial Data Analyst jobs in Laurel, MD are:

What cities near Laurel, MD are hiring for Entry Level Financial Data Analyst jobs?

Cities near Laurel, MD with the most Entry Level Financial Data Analyst job openings:

Financial Data Analyst FBwT

RM Advisory Services Llc

Washington, DC • On-site

$90 - $130/hr

Other

Posted yesterday

New


Job description

RM Advisory Services is seeking a Financial Data Analyst - Fund Balance with Treasury (FBwT) to support a Department of Defense (DoD) financial management environment.

This role is ideal for an analyst who enjoys working at the intersection of Federal financial management, accounting, and data analytics. The Financial Data Analyst will work directly with large volumes of financial transactional data to support FBwT reconciliation, identify and investigate discrepancies, improve data quality, and help financial management stakeholders understand the transactions driving reported balances.

The successful candidate will be comfortable moving beyond summarized financial reports and working at the transaction level, using analytical tools such as Python, R, SQL, Power BI, or similar technologies to identify patterns, trace transactions, investigate root causes, and develop repeatable analytical solutions.

Experience with FBwT, Universe of Transactions (UoT), Advana, or other DoD financial data environments is particularly valuable.

KEY RESPONSIBILITIES
  • Analyze large volumes of financial transaction data supporting Fund Balance with Treasury (FBwT), Universe of Transactions (UoT), reconciliation, and financial management activities.
  • Perform transaction-level analyses to identify variances, anomalies, unmatched transactions, reconciliation differences, and data-quality issues.
  • Use Python, R, SQL, or similar analytical tools to extract, transform, cleanse, analyze, and validate financial data.
  • Trace transactions across financial systems, data sources, and accounting records to identify potential root causes of reconciliation and financial reporting differences.
  • Develop repeatable scripts, queries, and analytical routines to automate financial data analysis, reconciliation, and validation procedures.
  • Analyze information from multiple financial systems and sources, including general ledger, accounting, and Treasury-related data.
  • Partner with financial management, accounting, audit, and technology professionals to translate business and accounting questions into actionable data analyses.
  • Develop reports, dashboards, visualizations, and analytical products that clearly communicate findings to financial management stakeholders.
  • Document analytical methodologies, data sources, assumptions, findings, and conclusions.
  • Support initiatives designed to improve the completeness, accuracy, consistency, and traceability of financial information.
  • Contribute to broader financial management, audit readiness, remediation, and process-improvement efforts as needed.
REQUIRED QUALIFICATIONS
  • Bachelor's degree in Accounting, Finance, Data Analytics, Information Systems, Computer Science, Mathematics, or a related discipline.
  • Experience analyzing financial transactional data, ideally within the Federal Government or Department of Defense.
  • Hands‑on experience using Python and/or R for data analysis.
  • Experience working with large datasets, including data cleansing, transformation, reconciliation, and validation.
  • Strong analytical and problem‑solving skills, with the ability to investigate complex transaction‑level discrepancies.
  • Ability to connect financial or accounting issues to the underlying supporting data.
  • Strong written and verbal communication skills, including the ability to explain technical and financial findings to both technical and non‑technical stakeholders.
  • Ability to obtain and maintain the security clearance required for the engagement.
PREFERRED QUALIFICATIONS
  • Direct experience supporting Fund Balance with Treasury (FBwT) analysis or reconciliation.
  • Experience with the Universe of Transactions (UoT) or similar DoD financial data initiatives.
  • Familiarity with Advana or other DoD enterprise data and analytics environments.
  • Understanding of DoD financial management, general ledger accounting, Treasury processes, or Federal financial reporting.
  • Experience using SQL and working with relational databases, data warehouses, or enterprise data platforms.
  • Experience developing automated reconciliation, exception‑reporting, or data‑quality routines.
  • Familiarity with financial statement audit, audit remediation, audit readiness, or FIAR‑related activities.
  • Experience with visualization and reporting tools such as Power BI or Tableau.
WHAT WE ARE LOOKING FOR

The strongest candidate will bring together two complementary skill sets: Federal/DoD financial management knowledge and hands‑on data analytics capability.

You should be comfortable asking questions such as:

  • Why does this balance not reconcile?
  • Which transactions are driving the difference?
  • Where did the transaction originate?
  • How did the information move between systems?
  • Is the issue financial, accounting‑related, system‑related, or data‑related?
  • Can the analysis be automated so the issue can be identified more efficiently in the future?

This is an opportunity for someone who enjoys investigating complex financial data, identifying the story behind the numbers, and building analytical solutions that help improve the accuracy and reliability of Federal financial information.

ABOUT RM ADVISORY SERVICES

RM Advisory Services provides financial management, audit, technology, and advisory support to Federal Government clients. Our professionals work alongside clients to solve complex financial and operational challenges while maintaining a collaborative, practical, and people‑focused approach.

Job Location Alexandria, District of Columbia, United States Position Type Full-Time/Regular

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