ZipRecruiter

Log In

1

Banking Data Analyst Jobs in Minnesota (NOW HIRING)

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

As a Senior Data Analyst, you will be part of the Data Analytics Team based in our 250 Nicollet ... Engage and build relationships with banking and lending partners on major projects or initiatives ...

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

As a Senior Data Analyst, you will be part of the Data Analytics Team based in our 250 Nicollet ... Engage and build relationships with banking and lending partners on major projects or initiatives ...

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

As a Senior Data Analyst, you will be part of the Data Analytics Team based in our 250 Nicollet ... Engage and build relationships with banking and lending partners on major projects or initiatives ...

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN

$70K - $130K/yr

As a Senior Data Analyst, you will be part of the Data Analytics Team based in our 250 Nicollet ... Engage and build relationships with banking and lending partners on major projects or initiatives ...

next page

Showing results 1-20

All JobsBanking Data Analyst JobsBanking Data Analyst Jobs in Minnesota

Banking Data Analyst information

See Minnesota salary details

$33.3K

$80.9K

$133.2K

How much do banking data analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for banking data analyst in Minnesota is $80,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 per year, depending on experience, location, and employer.

What is a banking data analyst?

A Banking Data Analyst is responsible for collecting, processing, and analyzing financial data to help banks make informed business decisions. They use statistical models and data visualization tools to identify trends, assess risks, and improve operational efficiency. Their role involves working with large datasets, ensuring data accuracy, and providing insights that support regulatory compliance and business growth. Strong analytical skills, proficiency in data tools like SQL and Python, and an understanding of banking operations are essential for this role.

What are the key skills and qualifications needed to thrive as a banking data analyst?

A Banking Data Analyst needs strong analytical skills, proficiency in statistics, and a background in finance, business, or a related quantitative field. Experience with SQL, Excel, data visualization tools like Tableau or Power BI, and possibly certifications such as CFA or data analytics credentials, is highly valued. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting insights to stakeholders. These skills ensure accurate financial analysis, clear reporting, and the ability to influence decision-making in a fast-paced banking environment.

What types of projects or analyses do banking data analysts typically handle in their day-to-day work?

Banking Data Analysts are often tasked with analyzing large volumes of transaction data to identify trends, forecast financial performance, and support risk management efforts. Their daily work may include preparing regular reports for management, developing dashboards to monitor key metrics, and collaborating with departments like risk, compliance, and marketing to provide actionable insights. They may also participate in projects involving fraud detection, credit scoring, customer segmentation, or regulatory reporting. These responsibilities offer exposure to a wide variety of data-driven initiatives and opportunity to make a direct impact on business strategies.

What does a banking data analyst do for a bank?

A banking data analyst collects, analyzes, and interprets financial data to help banks make informed decisions, improve operational efficiency, and manage risk. They use tools like Excel, SQL, and data visualization software to identify trends and support strategic planning. Strong analytical skills and knowledge of banking regulations are essential for this role.

What are the most commonly searched types of Banking Data Analyst jobs in Minnesota?

The most popular types of Banking Data Analyst jobs in Minnesota are:

What are popular job titles related to Banking Data Analyst jobs in Minnesota?

For Banking Data Analyst jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Banking Data Analyst jobs in Minnesota look for?

The top searched job categories for Banking Data Analyst jobs in Minnesota are:

What cities in Minnesota are hiring for Banking Data Analyst jobs?

Cities in Minnesota with the most Banking Data Analyst job openings:

Banking Data Analyst jobs near you
Infographic showing various Banking Data Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $80,939 per year, or $38.9 per hour.

Data Analyst / Data Modeler - Digital Banking

Expleo

Minneapolis, MN • On-site, Remote

$92 - $102/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Overview

Location: Minneapolis, MN Preferred (Remote Considered for Exceptional Candidates)

Employment Type: Full-Time

Shape Modern Data Foundations Through Analysis & Modeling

Are you a seasoned Data Modeler who excels at understanding complex business processes, analyzing data, and translating requirements into scalable data solutions? Trissential is partnering with a forward-thinking enterprise client to bring on a Data Analyst / Data Modeler - Digital Banking who will play a key role in supporting data initiatives within a modern Snowflake-based ecosystem.

While data modeling remains an important component of this role, the primary focus will be partnering with business and technology teams to analyze data, support data quality initiatives, document requirements, and ensure data structures effectively support reporting, analytics, and business outcomes.

For the immediate hiring need, we are prioritizing candidates local to the Minneapolis area. However, exceptional remote candidates will also be considered.

What's in It for You?

High-Impact Data Work - Support critical digital banking and enterprise data initiatives that influence strategic business decisions

Business Partnership - Work closely with stakeholders to understand business processes and translate requirements into actionable data solutions

Modern Technology Stack - Leverage Snowflake and cloud-based data platforms in a mature, enterprise-scale environment

Strategic Visibility - Contribute to data decisions that influence reporting, analytics, governance, and operational effectiveness

Balanced Responsibilities - Combine analytical problem-solving with data modeling and governance activities

Career Growth - Expand your expertise across Snowflake, enterprise analytics, data governance, and cloud-based data platforms

Collaborative Culture - Join a team focused on data quality, continuous improvement, and delivering business value

Your Role & Responsibilities

You will:

Analyze business requirements and translate them into scalable data solutions

Partner with business stakeholders, data engineers, architects, and governance teams to support enterprise data initiatives

Perform data profiling, discovery, and quality assessments across multiple data domains

Validate data accuracy and integrity through advanced SQL analysis and testing

Assist with source-to-target mappings and data lineage documentation

Identify data anomalies, investigate root causes, and recommend improvements

Maintain metadata, business definitions, and data dictionaries

Collaborate with governance teams to support naming standards, data quality processes, and metadata management

Participate in design reviews, impact assessments, and change-management activities

Skills & Experience You Should Possess

10+ years of experience in data modeling, data analysis, data management, or related disciplines

Strong experience analyzing complex datasets and translating business requirements into data solutions

Advanced SQL skills for data analysis, validation, and troubleshooting

Experience performing data profiling, data quality analysis, and data validation

Familiarity with metadata management, lineage, and data governance practices

Ability to communicate effectively with both technical and non-technical stakeholders

Strong analytical, problem-solving, and critical-thinking skills

Bonus Points If You Have

Banking, Financial Services, or Digital Banking experience

Python experience for data analysis, profiling, or automation

Experience working with semi-structured data such as JSON

Exposure to data cataloging, metadata management, or governance tools

Experience supporting enterprise cloud data modernization initiatives

Education & Certifications You Need

Bachelor's degree in Computer Science, Information Systems, Data Management, Data Analytics, or a related field

Data modeling, data governance, or analytics certifications are a plus, but not required

What We Offer

At Trissential, we believe great data work happens when talented people are supported, valued, and empowered. When you join our client's team through Trissential, you gain access to meaningful work, professional growth opportunities, and a comprehensive benefits package.

Competitive Compensation - You choose the model that works best for you, both with company-sponsored benefits! $155,000-$165,000 annually or $92-$102 per hour, depending on your skills, experience, and location. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.

Comprehensive Benefits for you and your dependents - Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching

Paid Time Off - Both compensation models offer paid time away from work

Career Development and Advancement - Expleo is a global organization operating across 29 countries with a strong focus on professional growth and development

Strong Team Culture - Collaborate with experienced professionals who value partnership, innovation, and continuous learning

This role is only open to individuals who are authorized to work in the United States

Ready to help shape trusted data that drives better business decisions? Apply today and take the next step in your career as a Data Analyst / Data Modeler - Digital Banking with Trissential

Employment Type: OTHER

Apply