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Bank Data Analytics Jobs in Colorado (NOW HIRING)

Bank is seeking an experienced Data & Analytics Product Lead to drive the strategy, roadmap, prioritization, and delivery of data and analytics products supporting key business segments. This role ...

Senior Data Scientist

Denver, CO · On-site

$132K - $155K/yr

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Responsible for big data/analytics projects that gather and integrate large volumes of data.

Our Data analytics process consists of the following: * Gathering of data - We automatically gather ... Degree in Finance/ Banking/ Mathematics/ Business/ Statistics or any other related field. * At ...

Data Analyst

Almont, CO · On-site

$60 - $70/hr

Experience Requirements: * 7+ years of experience in analytics, data engineering, or analytics ... Eliassen Group will never ask you for personal information (home address, bank account, or check ...

Retail Banking Sales & Service Longmont Hover branch Guides, directs, and coaches employees to ... Breaks down strategic problems, and analyses data and information to provide insights and ...

Retail Banking Sales & Service Montrose branch Guides, directs, and coaches employees to deliver ... Breaks down strategic problems, and analyses data and information to provide insights and ...

The platform is powered by DealX Tech & Data and marketed as Morningstar Credit Analytics, a well ... Degree in Finance/ Banking/ Business Intelligence/ Administration/Mathematics/Statistics or any ...

Model Risk Analyst

Denver, CO · Hybrid

$85K - $95K/yr

Description At Sunflower Bank, N.A., we're experiencing great growth. Since our founding in 1892 ... Education / Experience * Bachelor's degree in business analytics, economics, statistics ...

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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.

Data & Analytics Product Lead

US Bank

Denver, CO • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 360 frontline employees who took The Breakroom Quiz

52nd of 170 rated banks


Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

U.S. Bank is seeking an experienced Data & Analytics Product Lead to drive the strategy, roadmap, prioritization, and delivery of data and analytics products supporting key business segments. This role serves as the primary liaison between business stakeholders and technology teams, identifying opportunities to leverage data, analytics, and automation to improve decision making and business outcomes.

he individual will lead a portfolio of data and analytics products-including dashboards, reports, data products, and workflow solutions-through the full product lifecycle, from opportunity identification and requirements definition through delivery, adoption, and continuous improvement. The role provides leadership and direction to cross-functional teams, guiding developers, engineers, and other technology partners to deliver scalable, governed, and business-aligned solutions. While primarily focused on product leadership, the individual may also contribute to solution design, prototyping, and development activities as needed.

Primary Responsibilities

  • Serve as the business segment lead for a portfolio of data and analytics products, acting as the primary liaison between business stakeholders, data teams, and technology partners.
  • Define product vision, strategy, roadmaps, and priorities to support business objectives and maximize value delivery.
  • Lead the identification, evaluation, and implementation of data, analytics, reporting, and automation solutions, including dashboards, data products, and workflow applications.
  • Guide and influence cross-functional teams to deliver scalable, governed, and business-aligned solutions throughout the product lifecycle.
  • Partner with stakeholders to drive adoption, measure outcomes, and continuously improve product capabilities and user experience.
  • Contribute to solution design, prototyping, and development activities as needed while maintaining awareness of emerging technologies and industry best practices.

Basic Qualifications:

  • Bachelor's degree or equivalent work experience
  • At least 7 years' experience with BI applications; decision support systems, query and reporting, online analytical processing, statistical analysis, forecasting, and data mining.
  • At least 5 years' experience with tools, facilities and techniques for managing and administering data.
  • At least 9 years' experience within a total information technology (IT) environment.

Preferred Skills / Experience:

  • Product ownership, roadmap management, prioritization, and delivery of data and analytics products.
  • Business intelligence, reporting, analytics, and workflow automation solutions.
  • Stakeholder engagement, requirements management, and cross-functional leadership.
  • Agile, Scrum, or iterative product delivery methodologies.
  • Strategic thinker with strong business acumen
  • Ability to influence without direct authority
  • Strong communication and stakeholder management skills
  • Ability to balance tactical execution with long-term product strategy
  • Proven ability to translate complex business needs into practical data and analytics solutions
  • Strategic thinker with strong business acumen
  • Ability to influence without direct authority
  • Strong communication and stakeholder management skills
  • Ability to balance tactical execution with long-term product strategy
  • Proven ability to translate complex business needs into practical data and analytics solutions

Working knowledge of:

  • Business intelligence and visualization platforms (e.g., Power BI, Tableau).
  • Workflow automation and low-code platforms (e.g., Power Apps, Power Automate).
  • Modern data and analytics platforms, including cloud-based and traditional data warehouse technologies (e.g., Snowflake, Databricks, Azure Data Services, SQL Server).
  • Data modeling, semantic layer design, reporting, and analytics solution development.
  • Data governance, data quality, and information management practices.

The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $119,765.00 - $140,900.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.


What U.S. Bank employees say

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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