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Banking Business Intelligence Jobs (NOW HIRING)

Business Intelligence Analyst Category: Business Analysis (functional and technical) Main location ... We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us ...

Adhere to and ensure compliance of all business transactions with policy and process of the Bank ... Year Business Intelligence, Data Analysis or Related In Lieu of Education 3 Years Business ...

Agents are rapidly transforming the business intelligence function, and you'll shape how we ... Experience in fintech, payments, banking, or logistics. Why DAT? DAT is an award winning employer ...

Agents are rapidly transforming the business intelligence function, and you'll shape how we ... Experience in fintech, payments, banking, or logistics. Why DAT? DAT is an award winning employer ...

Sr Business Intelligence Analyst

Rosemead, CA ยท On-site

$36.06 - $43.27/hr

GENERAL SUMMARY The Senior Business Intelligence Analyst is central to enhancing and ensuring the ... Bank to support the creation and delivery of timely, action-oriented intelligence. The Analyst will ...

Sr Business Intelligence Analyst

Rosemead, CA ยท On-site

$36.06 - $43.27/hr

GENERAL SUMMARY The Senior Business Intelligence Analyst is central to enhancing and ensuring the ... Bank to support the creation and delivery of timely, action-oriented intelligence. The Analyst will ...

Role The Business Intelligence Analyst Intern supports the development of accurate, timely, and ... the Bank Secrecy Act, the Patriot Act, and the Office of Foreign Assets Control. Knowledge and ...

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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 Jun 17, 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.

How much does a business intelligence analyst make at US Bank?

A business intelligence analyst at US Bank typically earns an average salary ranging from $70,000 to $90,000 annually, depending on experience and location. The role often requires proficiency in data analysis tools like SQL and Tableau, with opportunities for advancement and certification in analytics or banking systems.

Can BA be replaced by AI?

Banking Business Intelligence (BI) analysts analyze financial data to support decision-making and strategic planning. While AI can automate data processing and generate insights, BI roles often require domain expertise, interpretation skills, and contextual understanding that are not fully replaceable by AI. Therefore, AI can augment BI work but is unlikely to completely replace the role in the near future.

Is business intelligence a high paying job?

Banking Business Intelligence roles are generally well-paying, especially for those with strong analytical skills, experience with data visualization tools, and knowledge of banking operations. Salaries can vary based on experience, location, and certifications, but they tend to be above average compared to many other roles in finance and data analysis.

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 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.

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.

What is business intelligence in banking?

Business intelligence in banking involves analyzing data from various sources to support decision-making, improve operational efficiency, and identify market trends. Banking BI professionals use tools like data warehouses, dashboards, and analytics software to interpret financial and customer data, often requiring skills in data analysis, SQL, and reporting. It helps banks optimize strategies, manage risks, and enhance customer service.
Infographic showing various Banking Business Intelligence job openings in the United States as of June 2026, with employment types broken down into 25% Full Time, 62% Part Time, and 13% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $114,260 per year, or $54.9 per hour.
Business Intelligence Analyst

Business Intelligence Analyst

Saco & Biddeford Savings Institution

Saco, ME โ€ข On-site

Other

Posted 8 days ago


Job description

Description

The Business Intelligence Analyst leadership role is responsible for building and scaling the bank's enterprise data and analytics capabilities. This individual will establish a centralized data strategy, develop scenario modeling frameworks, govern data curation and quality standards, enforce data security protocols, and lead the evaluation of BI and analytics platforms. They will serve as the bank's expert on data strategy, execution and will partner closely with Senior leadership to translate data into intelligent actions that drives growth, manages risk, and enhances customer experience.

Essential Functions:

Data and Analytics Leadership -ย 

  • Establish, build, and lead the bank's Data and Analytics strategy from the ground up, defining its mission, operating model, and strategic roadmap.
  • Serve as the primary advocate for a data-informed culture across all business lines including retail banking, commercial lending, treasury, compliance, risk and operations.
  • Define and communicate the organization's BI standards, best practices, and governance frameworks.
  • Mentor members of the organization in data strategy and management.

Enterprise Data Repository & Architecture -ย 

  • Design and oversee the evaluation and implementation of a centralized enterprise data repository (data warehouse or lakehouse) that consolidates data from core banking systems, loan origination, CRM, general ledger, and other sources.
  • Establish data pipeline architecture, ETL/ELT processes, and integration standards to ensure dependable, timely, and accurate data flows.
  • Define data models, schemas, and taxonomies aligned to banking industry standards.
  • Ensure the data architecture is scalable, resilient, and capable of supporting future growth and regulatory requirements.

Vendor Evaluation & Technology Selection -ย 

  • Lead a structured, end-to-end vendor selection process for BI, data warehousing, analytics, and data governance platforms.
  • Assess and Develop RFI/RFP documentation, evaluation scorecards, and demonstration frameworks tailored to the bank's functional requirements and budget constraints.
  • Assess and compare leading platforms (e.g., Snowflake, Databricks, Microsoft Fabric, Power BI, Tableau, Informatica, Collibra) in the context of community banking use cases that weigh functionality versus cost.
  • Collaborate with IT, Finance, Procurement, and Legal to negotiate contracts and ensure all vendor due diligence aligns with third-party risk management policies.
  • Manage ongoing vendor relationships, SLA performance, and renewal cycles for all BI CoE technology investments.

Scenario Modeling & Advanced Analytics -ย 

  • Build and maintain financial and operational scenario modeling capabilities to support strategic planning.
  • Partner with Finance, Risk, and Lending teams to develop predictive models for product performance, e.g.; loan performance, deposit behavior, liquidity, and profitability forecasting.
  • Implement model validation practices and documentation standards consistent with industry model risk management guidance.
  • Develop self-service dashboards and analytics tools that empower business stakeholders to explore scenarios independently.

Data Curation & Data Quality -ย 

  • Establish a formal data governance program including a data dictionary/definition, data lineage documentation, and metadata management standards.
  • Define and enforce data quality rules, exception reporting, and remediation workflows to maintain trusted, high-integrity datasets.
  • Partner with operations and technology teams to identify and resolve upstream data quality issues at the source.
  • Implement master data management (MDM) practices for critical entities including customers, accounts, products, and counterparties.
  • Publish and maintain a data catalog accessible to authorized stakeholders across the organization.

Data Security, Privacy & Compliance -ย 

  • Coordinate with Information Technology and InfoSec to define, refine and maintain standards.
  • Develop and enforce data access control policies, role-based permissions, and data classification frameworks aligned with the bank's information security program.
  • Ensure compliance with applicable regulations including GLBA, CCPA, PCI-DSS, and OCC/FDIC examination expectations related to data management.
  • Implement data masking, encryption, and audit logging standards for sensitive customer and financial data.
  • Collaborate with Information Security, Legal, and Compliance teams on data breach response protocols and regulatory reporting.
  • Conduct periodic data risk assessments and remediate identified vulnerabilities in a timely manner.

Executive Reporting & Stakeholder Engagement -

  • Deliver regular performance reporting, data insights, and strategic recommendations to the Senior Leadership and the Executive Leadership.
  • Translate complex analytical outputs into clear, data informed narratives for non-technical audiences.
  • Function as a liaison between business units and technology teams to align data priorities with organizational strategy.
  • Provides professional, courteous, and efficient service to all internal and external customers, reflecting the Bank's commitment to high standards of integrity and service excellence.
  • Embrace the Bank's core values: Caring & Compassion, Excellence, Relationships, Trust, and Enrichment. Be a source of possibilities.
  • Perform miscellaneous duties or special assignments as required, always aligning with the Bank's values of integrity, service, and collaboration.

Other Duties and Responsibilities:

  • Attends all required meetings and training, maintaining a commitment to personal and professional growth in alignment with the Bank's values.
  • Complies with federal and state banking regulations, as well as with all bank and department policies and procedures.
  • Interacts harmoniously, professionally, cordially and effectively with others, focusing upon the attainment of bank goals and objectives through a commitment to teamwork.
  • Serve on various committees as assigned, actively contributing to the improvement of branch operations and customer satisfaction.

Working Conditions:

  • Physical surroundings are generally pleasant and comfortable with protection from weather conditions, though temperature changes may occur.
  • Ability to sit or stand with freedom of movement, regularly alternating between both positions.
  • Ability to stand for extended periods of time when necessary, contributing to a dynamic and active work environment.
  • Extensive operation of computers and office equipment requiring dexterity, coordination, and frequent use of hands.

Requirements

Position Qualifications and Education Requirements:

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Statistics, or the equivalent experience.
  • 4+ years of progressive experience in data, analytics, or business intelligence roles, with at least 2 years in ย a leadership role.
  • Demonstrated experience building or scaling a BI or data function, ideally within a financial services or regulated industry environment.
  • Hands-on proficiency with data warehousing technologies (e.g., Snowflake, Redshift, Azure Synapse, or similar), ETL/ELT tools, and BI platforms (Power BI, Tableau, Cognos Analytics, or Looker).
  • Strong understanding of data governance frameworks, data quality management, and metadata practices.
  • Working knowledge of banking regulatory requirements relevant to financialย 
  • Experience with full-cycle vendor evaluations and technology procurement for enterprise platforms.
  • Excellent communication, presentation, and executive influencing skills.
  • Experience in a community bank, credit union, or regional financial institution preferred.
  • Familiarity with core banking systems (e.g., Fiserv, FIS, Jack Henry) and their data structures preferred.
  • Experience with model risk management (MRM) practices and regulatory stress testing (DFAST) preferred.
  • Dependable and punctual, adhering to attendance standards and demonstrating accountability in all actions.
  • Ability to work independently and as a team player, contributing to a supportive and collaborative work environment.
  • Strong attention to detail, ensuring that all tasks are completed to the highest standards of accuracy and compliance.
  • Proven ability to deliver quality work during times of increased volume, demonstrating resilience and a strong work ethic.
  • Ability to, with or without accommodations, read/see documents and computer screens, communicate in person via telephone or Zoom calls, and use a computer and other office equipment.
  • Ability to travel to all Bank locations, ensuring a flexible and adaptable approach to meeting organizational needs.