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Banking Business Intelligence Jobs (NOW HIRING)

Business Intelligence Engineer

Arlington, MA ยท On-site

$100 - $120/hr

Leader Bank is looking for exceptionally dedicated team members to join one of the region's fastest ... experience in Business Intelligence, Data Engineering, Analytics Engineering, or related ...

$140 - $190/hr

They are seeking a hands-on, business-oriented data platform leader to lead a 10 people team in order to manage the bank's end-to-end data intelligence platform. The successful candidate will ...

Our client is seeking a Business Intelligence Data Analyst to support reporting, analytics, and ... Analyze banking, financial, and operational data to identify trends, risks, and opportunities.

Sr Business Intelligence Analyst

Rosemead, CA ยท On-site

$36.06 - $43.27/hr

At Cathay Bank - we strive to provide a caring culture that supports your aspirations and success ... Reporting/Business Intelligence tools such as Business Objects, SSRS, QlikView. Data marts and data ...

Senior Business Intelligence Engineer

Manhattan, NY ยท On-site

$56.25 - $73/hr

They are seeking a Senior Business Intelligence Engineer to lead the design, implementation ... Current is a consumer fintech banking platform transforming financial access for everyday Americans.

Senior Business Intelligence Engineer

Manhattan, NY ยท On-site

$56.25 - $73/hr

They are seeking a Senior Business Intelligence Engineer to lead the design, implementation ... Current is a consumer fintech banking platform transforming financial access for everyday Americans.

Showing results 21-40

Banking Business Intelligence information

See salary details

$29.5K

$114.3K

$167.5K

How much do banking business intelligence jobs pay per year?

As of Sep 7, 2026, the average yearly pay for banking business intelligence in the United States is $114,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $142,500.00 per year, depending on experience, location, and employer.

What is banking business intelligence?

Banking Business Intelligence (BI) refers to the use of data analysis tools and processes to help banks collect, analyze, and interpret large volumes of data. This enables banking institutions to gain insights into customer behavior, optimize operations, manage risks, and make more informed strategic decisions. BI professionals in banking use technologies like data warehouses, dashboards, and reporting tools to transform raw data into actionable insights. Their work supports areas such as fraud detection, customer segmentation, and regulatory compliance. Ultimately, Banking BI helps banks stay competitive and responsive in a data-driven marketplace.

How does a banking business intelligence professional typically collaborate with other departments to drive strategic decision-making?

Banking Business Intelligence professionals frequently work cross-functionally with departments such as Finance, Risk, Marketing, and IT to gather data, identify trends, and generate actionable insights. They often translate complex data analyses into clear recommendations that inform strategic projects, product development, or regulatory compliance. Regular collaboration involves participating in meetings, developing reporting dashboards, and training end-users to interpret data outputs, ensuring that business units can make informed decisions based on reliable information.

What are the key skills and qualifications needed to thrive as a banking business intelligence professional, and why are they important?

To thrive as a Banking Business Intelligence professional, you need strong analytical skills, knowledge of financial data, and a background in business, finance, or data science. Proficiency with BI tools like Tableau, Power BI, SQL, and data warehousing systems, as well as relevant certifications, is typically required. Exceptional problem-solving, communication, and stakeholder management abilities set top performers apart. These skills enable professionals to transform complex banking data into actionable insights, driving strategic decision-making and operational efficiency.

What is the difference between Banking Business Intelligence vs Banking Data Analyst?

AspectBanking Business IntelligenceBanking Data Analyst
Required CredentialsBachelor's in Business, Finance, or IT; BI certificationsBachelor's in Data Science, Statistics, or Finance; Data analysis certifications
Work EnvironmentBusiness intelligence teams, IT departments, analytics unitsData teams, analytics departments, operational units
Employer & Industry UsageFinancial institutions, banks, fintech companiesBanking institutions, financial services firms, consulting
Common Search & ComparisonYesYes

Banking Business Intelligence focuses on analyzing data to support strategic decision-making through BI tools, dashboards, and reporting. Banking Data Analysts primarily interpret data sets to identify trends and insights, often working directly with raw data. While both roles require similar educational backgrounds and work within banking environments, BI emphasizes strategic reporting, whereas Data Analysts focus on data interpretation and analysis.

Is banking business intelligence a high paying job?

Banking Business Intelligence roles typically offer competitive salaries, especially for professionals with strong analytical skills, experience with data tools, and knowledge of banking operations. Salaries can vary based on experience, location, and certifications, but they are generally above average compared to other entry-level positions in finance and data analysis.
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What cities are hiring for Banking Business Intelligence jobs?

Cities with the most Banking Business Intelligence job openings:

What states have the most Banking Business Intelligence jobs?

States with the most job openings for Banking Business Intelligence jobs include:

What job categories do people searching Banking Business Intelligence jobs look for?

The top searched job categories for Banking Business Intelligence jobs are:

Infographic showing various Banking Business Intelligence job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $114,260 per year, or $54.9 per hour.

Business Intelligence Engineer

LEADER BANK

Arlington, MA โ€ข On-site

$100 - $120/hr

Other

Medical, Dental, Life, Retirement, PTO

Posted 24 days ago


Job description

Leader Bank is looking for exceptionally dedicated team members to join one of the regionโ€™s fastest growing community banks and mortgage lenders. At the time of its founding in 2002, Leader Bank had one branch office, $6.5 million in assets and 7 team members. Since then, the Bank has become one of the most successful banks in Massachusetts with $4.5 billion in assets, more than 400 team members, 7 branch offices, and annual mortgage originations of over $2 billion.Exemplary products and an innovative spirit have driven Leader Bankโ€™s rapid growth over the years, and our team members embrace these values. Our mission is to obsess over our clients, make them feel valued, and maintain long-term relationships with them by constantly enhancing our products and processes to always improve our client experience. For our team members, Leader Bank prioritizes competitive compensation and benefits, a healthy work-life balance, and an environment that fosters diversity and inclusion.SummaryAt Leader Bank, we recognize that data is an opportunity to create better experiences, smarter decisions, and value for our clients. As a BI engineer, you enable stakeholders to make data-driven decisions and turn insights into action through automation.BI Engineer is responsible for designing, developing, and maintaining the Bank's enterprise reporting and analytics platform. This role bridges business reporting and data engineering by creating trusted data models, semantic layers, dashboards, and analytics solutions that empower data-driven decision-making across the organization.The successful candidate will have deep experience with Snowflake, Retool/Power BI, Python, JavaScript, SQL, and modern data technologies. This individual will partner with business stakeholders, product teams, and technology teams to transform raw data into trusted, actionable insights while establishing scalable reporting and governance practices.ResponsibilitiesData Modeling & AnalyticsDesign, develop, and maintain enterprise data models, semantic layers, and analytics-ready datasets in Snowflake.Build and maintain data dictionaries, KPI definitions, and business metrics to ensure consistency across reporting platforms.Develop scalable reporting architectures that support operational, analytical, and executive reporting needs.Optimize data structures, queries, and warehouse performance for BI workloads.Reporting & VisualizationCreate and maintain dashboards, workflows and self-service reporting solutions using Retool, and other BI tools.Partner with business stakeholders to understand requirements and translate business questions into actionable analytics.Develop executive-level dashboards and operational reporting that provide meaningful business insights.Ensure data visualizations are intuitive, accurate, and aligned with organizational goals.Data Engineering & AutomationDevelop and maintain ELT/ETL processes for structured and semi-structured data.Build automated data validation, quality monitoring, and reconciliation processes.Utilize Python, SQL, and JavaScript to automate reporting, data transformations, and analytics workflows.Collaborate with Data Engineers to enhance data ingestion, transformation, and governance frameworks.Governance & QualityEstablish and maintain data quality standards, validation rules, and monitoring processes.Define and enforce data governance best practices, metadata management, and documentation standards.Ensure compliance with security, privacy, and regulatory requirements.Promote adoption of trusted data sources and standardized reporting practices.CollaborationWork closely with business leaders, product managers, analysts, and engineering teams.Participate in Agile planning, estimation, and solution design activities.Provide guidance on analytics best practices, dashboard design, and data storytelling.QualificationsBachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field.3+ years of experience in Business Intelligence, Data Engineering, Analytics Engineering, or related disciplines.3+ years of hands-on experience with Snowflake or other relational databases.3+ years of experience building dashboards and analytics solutions using Power BI/Tableau/Retool or similar BI platforms.Strong SQL expertise including performance optimization, dimensional modeling, and data warehouse design.Strong Python programming experience for analytics, automation, and data processing.Experience with JavaScript for dashboard customization, application development, and automation.Experience building and maintaining ETL/ELT pipelines.Knowledge of data governance, metadata management, and data quality principles.Experience working with Git, CI/CD pipelines, and Agile development practices.Preferred Qualifications:Experience with dbt, Matillion or similar modern data stack technologies.Experience working in banking, financial services, fintech, or regulated industries.Familiarity with cloud platforms such as AWS.Knowledge of API development and integrations.Experience leveraging AI and machine learning tools to improve analytics and reporting.Snowflake, Power BI, or cloud certifications.Leader Bank offers an excellent compensation and benefits package including 401k plan with corporate match, medical and dental insurance, and the opportunity to work for a fast growing, local organization.Leader Bank, N.A. is an Equal Opportunity and Affirmative Action employer and does not discriminate on the basis of race, color, religion, age, gender, marital status, sexual orientation, national origin, disability, military status, veteran status, or any other protected class.The base salary range below represents the low and high end of the Leader Bank salary range for this position. Actual salaries will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance.Salary Minimum: $100,000.00 - Salary Max: $120,000.00The range listed is just one component of Leader Bankโ€™s total compensation package for team members. Other rewards may include annual bonuses, commissions, short- and long-term incentives, and program-specific awards. In addition, Leader Bank provides a variety of benefits to eligible team members, including health insurance coverage, a team member wellness program, life and disability insurance, a retirement savings plan, paid holidays and paid time off and vacation.Leader Bank, N.A. is an Equal Opportunity and Affirmative Action employer and does not discriminate on the basis of race, color, religion, age, gender, marital status, sexual orientation, national origin, disability, military status, veteran status or any other protected class.Leader Bank is an E-Verify participant. * For more information, click on the links below:https://www.everify.gov/sites/default/files/everify/images/manuals/EVParticipationPoster.JPGhttps://www.e-verify.gov/sites/default/files/everify/images/manuals/IERPoster.jpgE-Verify is a registered trademark of U.S. Department of Homeland Security #J-18808-Ljbffr