Advanced Data & Insights Analyst - Deposits Line of Business

Posted 7 Days Ago
Be an Early Applicant
3 Locations
In-Office
112K-131K Annually
Senior level
Fintech
The Role
Lead end-to-end data and analytics solutions for the Deposits business: design and optimize scalable cloud data pipelines, build enterprise-grade data models, integrate and validate enterprise data, perform advanced analysis, and deliver executive-ready Power BI dashboards and insights that drive business decisions while ensuring governance and compliance.
Summary Generated by Built In

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

At U.S. Bank, we’re building what’s next

We’re looking for a data professional who can bridge analytics and engineering—someone who not only answers business questions, but builds the data foundation that makes those answers possible.

This role sits within the Deposits space and is designed for someone who thrives in complex environments, enjoys ownership, and can move fluidly between data pipelines, business insights, and executive storytelling.

What you’ll do

You’ll lead and deliver end-to-end data and analytics solutions—from ingestion to insight.

  • Lead and own complex, large-scale analytics initiatives supporting the Deposits business
  • Design, build, and optimize scalable data pipelines and workflows within cloud environments, including Azure Synapse
  • Develop curated datasets and enterprise-grade data models to support analytics and reporting
  • Integrate data from multiple enterprise sources, ensuring data quality, consistency, and traceability
  • Perform advanced analysis and translate findings into actionable business recommendations
  • Identify trends and patterns in complex datasets to address key strategic questions
  • Design and deliver Power BI dashboards and reporting solutions, including data modeling and performance optimization
  • Create intuitive, high-quality visualizations that enable clear, executive-ready decision making
  • Partner with cross-functional stakeholders to define requirements and deliver scalable solutions
  • Monitor and continuously improve data pipelines, models, and reporting assets
  • Ensure all work aligns with enterprise risk, governance, and compliance standards

Basic Qualifications

  • Bachelor’s degree in a related field, or equivalent work experience
  • 6–8 years of experience of statistical and/or data analytics experience

Preferred Skills & Experience

Data Engineering & Architecture

  • Advanced SQL and Python skills
  • Experience building and optimizing data pipelines and data models
  • Hands-on experience with Azure Synapse Analytics or similar cloud platforms
  • Strong data modeling expertise (dimensional modeling, curated data layers)
  • Experience working with large, complex datasets in enterprise environments

Analytics & Business Insight

  • Strong analytical mindset with the ability to translate data into business impact
  • Experience performing advanced analysis and identifying meaningful trends and insights
  • Ability to connect technical outputs to business strategy and decision-making

Visualization & Reporting

  • Proven experience designing and delivering Power BI dashboards
  • Strong understanding of data modeling, DAX, and performance optimization
  • Experience building scalable reporting solutions and semantic layers

Collaboration & Delivery

  • Demonstrated ability to partner across teams to deliver analytics solutions
  • Strong communication skills with the ability to present complex insights clearly
  • Proven ability to manage and deliver against complex initiatives

Nice to have

  • Experience supporting Deposits or Consumer Banking businesses
  • Familiarity with SAS for analytics and programming

How this role is different

This is not a pure analyst role—and it’s not a pure data engineer role.

It’s a hybrid position designed for someone who:

  • Builds the data
  • Interprets the data
  • And tells the story that drives action

Think ~20% analytics + ~80% data engineering and delivery, with strong ownership across both.

Why join us

You’ll have the opportunity to:

  • Shape how data supports one of the bank’s core businesses
  • Build modern, scalable data solutions
  • Influence decisions at scale through clear, actionable insights

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.

This position is not eligible for visa sponsorship.

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability 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 the E-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: $111,605.00 - $131,300.00

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.

Skills Required

  • Bachelor's degree in a related field or equivalent work experience
  • 6-8 years of statistical and/or data analytics experience
  • Advanced SQL skills
  • Advanced Python skills
  • Experience building and optimizing data pipelines and data models
  • Hands-on experience with Azure Synapse Analytics or similar cloud platforms
  • Strong data modeling expertise (dimensional modeling, curated data layers)
  • Experience working with large, complex enterprise datasets
  • Proven experience designing and delivering Power BI dashboards
  • Strong understanding of DAX and performance optimization
  • Experience performing advanced analysis and translating findings into business recommendations
  • Strong communication and stakeholder partnership skills
  • Familiarity with SAS
  • Experience supporting Deposits or Consumer Banking businesses

US Bank Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about US Bank and has not been reviewed or approved by US Bank.

  • Retirement Support The package pairs a pension with a matched 401(k), strengthening long‑term financial security. Retirement programs and other financial safeguards are presented as comprehensive.
  • Leave & Time Off Breadth Paid vacation, sick time, numerous holidays, and dedicated volunteer hours provide meaningful time away. Additional time off with tenure and options to expand PTO bolster flexibility.
  • Healthcare Strength Medical, dental, and vision coverage with HSA/FSA options and wellness resources are described as robust. Health insurance is characterized as top‑notch in multiple descriptions.

US Bank Insights

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The Company
HQ: Minneapolis, MN

What We Do

We believe in putting people first, and our dedication to making ethical decisions and doing the right thing is at the heart of what we do. We're proud to be named by Ethisphere as a 2018 World's Most Ethical Company.

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