1

Bank Data Analytics Jobs in Bend, OR (NOW HIRING)

Proven analytical skills; ability to review and interpret complex data (determining risk, assessing ... Comprehension of investor, insurer, regulatory, and the Bank's requirements, and the ability to ...

Treasury Analyst - AI Trainer

Bend, OR ยท Remote

$50 - $100/hr

Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

FP&A Manager - AI Trainer

Bend, OR ยท Remote

$50 - $100/hr

Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Financial Planner - AI Trainer

Bend, OR ยท Remote

$50 - $100/hr

Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

M&A Associate - AI Trainer

Bend, OR ยท Remote

$50 - $100/hr

Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

next page

Showing results 1-20

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 are popular job titles related to Bank Data Analytics jobs in Bend, OR?

For Bank Data Analytics jobs in Bend, OR, the most frequently searched job titles are:

What job categories do people searching Bank Data Analytics jobs in Bend, OR look for?

The top searched job categories for Bank Data Analytics jobs in Bend, OR are:

What cities near Bend, OR are hiring for Bank Data Analytics jobs?

Cities near Bend, OR with the most Bank Data Analytics job openings:

Infographic showing various Bank Data Analytics job openings in Bend, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Investment Banking Analyst - AI Trainer

DataAnnotation

Bend, OR โ€ข Remote

$50 - $100/hr

Contractor

Re-posted 2 days ago


Job description

About the job:

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an opportunity to work with us as an independent contractor.

We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.

In this role, you might:

• Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets

• Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work

• Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t.

• Share clear, structured feedback to help make each new version of the AI smarter and more reliable.

To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.

Advantages of contracting with us:

  • You'll be able to choose which projects you want to work on and when
  • You work on your own schedule, on your own computer, from the comfort of your own home
  • Projects are paid hourly starting at $50-$100+/hr, with bonus rates available on some projects

Responsibilities:

  • Give AI chatbots diverse and complex problems and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance

Qualifications:

  • Fluency in English
  • Detail-oriented
  • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management
  • A current, in progress, or completed Master's and/or PhD is preferred but not required

Note:

Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contractor position.

#finance


Working at DataAnnotation

Perks for workers

  • Work From Anywhere

  • Set Your Own Hours

  • Competitive Pay

  • Learn Valuable AI Skills

  • No Meetings. No Commute.

  • Work on Your Schedule

  • Make a Real-World Impact

What to expect from working at DataAnnotation

From DataAnnotation