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Bank Data Analytics Jobs in Baltimore, MD (NOW HIRING)

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 ...

... the bank's data storage systems. * Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and design scalable data solutions that support advanced ...

SQL Developer (Entry-Level)

Baltimore, MD ยท On-site

$49 - $67/hr

Data scientists and analysts depend on clean, accessible, reliable data--and data engineers help ... Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k.

Data Modeler

Baltimore, MD ยท On-site +1

$54.50 - $70.50/hr

MUST HAVE HAD EXPERIENCE WITH MULTIPLE FINANCIAL/BANKING CLIENTS . * Experience developing conceptual, logical, and physical data models for databases, data warehouses, and analytics systems.

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Bank Data Analytics information

How does a bank data analytics professional typically collaborate with other departments within a financial institution?

Bank Data Analytics professionals work closely with various departments such as risk management, marketing, compliance, and IT. They translate complex data sets into actionable insights, guiding strategic decisions and helping teams understand customer behavior, detect fraud, and ensure regulatory compliance. Regular cross-functional meetings and project-based collaborations are common, allowing analytics professionals to align data-driven recommendations with business goals and operational needs. This collaborative structure enhances communication, streamlines workflow, and maximizes the value of data across the organization.

What is bank data analytics?

Bank data analytics is the process of collecting, processing, and analyzing large volumes of data generated by banking transactions and operations. It helps banks gain insights into customer behavior, detect fraud, manage risks, and improve decision-making. By leveraging advanced analytical tools and techniques, banks can enhance customer experiences, increase efficiency, and develop data-driven strategies for growth. Bank data analytics professionals work with big data, machine learning, and statistical models to extract meaningful patterns and support business objectives.

What is the difference between Bank Data Analytics vs Bank Data Analyst?

AspectBank Data AnalyticsBank Data Analyst
Required SkillsData analysis, statistical modeling, programming (SQL, Python)Data analysis, reporting, basic statistical skills
Work EnvironmentData teams, analytics departments within banksBank branches, finance departments, risk management teams
CertificationsData analytics certifications, SQL, Python coursesFinance or banking certifications, possibly data skills
Industry UsageFocus on developing analytics models and insightsFocus on interpreting data for decision-making

Bank Data Analytics involves advanced data modeling and technical skills to develop insights, while a Bank Data Analyst primarily interprets data to support banking operations. Both roles require analytical skills, but Bank Data Analytics is more technical and model-driven, whereas Bank Data Analyst focuses on reporting and data interpretation within banking environments.

What are the key skills and qualifications needed to thrive as a bank data analytics professional, and why are they important?

To thrive as a Bank Data Analytics professional, you need strong analytical skills, proficiency in statistics, and a solid background in finance or economics, often supported by a relevant degree. Expertise in data analysis tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI, as well as knowledge of data governance frameworks, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication help translate complex data insights into actionable recommendations for stakeholders. These skills are crucial for driving data-informed decisions that enhance financial performance and risk management in the banking sector.

What job categories do people searching Bank Data Analytics jobs in Baltimore, MD look for?

The top searched job categories for Bank Data Analytics jobs in Baltimore, MD are:

Infographic showing various Bank Data Analytics job openings in Baltimore, MD as of August 2026, with employment types broken down into 83% Full Time, 9% Part Time, 4% Temporary, and 4% Contract. Highlights an 87% In-person, 4% Hybrid, and 9% Remote job distribution.

DATA ANALYST

AaraTechnologies Inc

Maryland City, MD โ€ข On-site

Other

Re-posted 4 days ago


Job description

Data Analyst Banking (2-3 Years Experience)

Company: AaraTech Inc

About the Role

AaraTech Inc is seeking a Data Analyst Banking to support reporting and analytics for banking and payments platforms. This role involves analyzing transaction data, building dashboards, and supporting KPI reporting. You will work with business and analytics teams to support data-driven decision-making. 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 analysis
  • Perform data validation and reconciliation
  • Support KPI and trend reporting
  • Assist with ad-hoc analysis
  • Document reports and metrics
Required Qualifications
  • 2-3 years of experience in data analysis or reporting
  • Strong SQL skills
  • Proficiency in Excel
  • Experience with BI tools
  • Exposure to financial or banking data
  • Strong analytical skills
  • Good communication skills
Skills

Banking Analytics, Financial Data Analysis, Transaction Data, SQL, Excel, Tableau, Power BI, KPI Reporting, Dashboard Development, Trend Analysis, Data Validation, Reconciliation, Reporting Documentation, Stakeholder Communication