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Data Analytics Teaching Assistant Jobs in Minnesota

Ryan Companies

Data Analyst

Minneapolis, MN · On-site

$85K - $100K/yr

Provide data analytics support for construction field operations focusing on areas like scheduling ... Become a subject matter expert in datasets related to scheduling and field operations. * Assist ...

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

This is a unique opportunity to be able to leverage business strategy, data visualization, storytelling, descriptive and prescriptive analytics, statistics and programing skills to assist leaders in ...

Royal Bank of Canada

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

This is a unique opportunity to be able to leverage business strategy, data visualization, storytelling, descriptive and prescriptive analytics, statistics and programing skills to assist leaders in ...

Collabera

Data Analyst

Eagan, MN

Creating data visualization as part of assigned tasks and projects * Assist Editorial Service teams with market analysis and related requests * Assist in Market Analysis, Jurisdictional build and ...

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Data Analytics Teaching Assistant information

What is the difference between Data Analytics Teaching Assistant vs Data Analyst?

AspectData Analytics Teaching AssistantData Analyst
Required CredentialsOften a bachelor's degree in related field; some roles prefer coursework in data analytics or educationBachelor's or higher in data science, statistics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentEducational settings, assisting instructors, supporting studentsCorporate, finance, healthcare, or tech industries analyzing data for business insights
Employer & Industry UsageUniversities, colleges, online education platformsBusinesses, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding teaching roles in data analytics educationAnalyzing data for decision-making in organizations

The main difference is that a Data Analytics Teaching Assistant supports educational activities and helps students learn data concepts, while a Data Analyst focuses on analyzing data to generate insights for organizations. The roles overlap in required skills and certifications but differ significantly in work environment and primary responsibilities.

What are the key skills and qualifications needed to thrive as a data analytics teaching assistant?

To thrive as a Data Analytics Teaching Assistant, you need a strong foundation in data analysis, statistics, and a relevant degree or equivalent experience. Familiarity with tools like Python, R, SQL, Excel, and platforms such as Tableau or Power BI is typically required, along with knowledge of course management systems. Excellent communication, patience, and the ability to explain complex concepts clearly are crucial soft skills. These competencies ensure effective student support, foster learning, and contribute to successful course delivery.

What are the main challenges a data analytics teaching assistant might face when supporting students in a classroom setting?

As a Data Analytics Teaching Assistant, one of the main challenges is addressing the varying levels of technical proficiency among students. You may need to tailor explanations and provide additional resources for those struggling with complex concepts like data visualization or statistical analysis. Balancing your time between answering individual questions, assisting with group projects, and supporting the lead instructor can also be demanding. Developing strong communication and organizational skills is essential for effectively helping students and ensuring a positive learning environment.

What is a data analytics teaching assistant?

Data Analytics Teaching Assistants are professionals who support instructors and students in courses focused on data analytics. They help clarify complex topics such as data cleaning, visualization, and statistical analysis, and often assist with grading assignments, hosting office hours, and providing feedback. Their role is essential in ensuring students understand key concepts and succeed in their studies. Teaching assistants may also guide students in using popular data analytics tools like Excel, Python, or Tableau. Overall, they act as a bridge between the instructor and students, enhancing the learning experience.
What are the most commonly searched types of Data Analytics Teaching jobs in Minnesota? The most popular types of Data Analytics Teaching jobs in Minnesota are:
What are popular job titles related to Data Analytics Teaching Assistant jobs in Minnesota? For Data Analytics Teaching Assistant jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Analytics Teaching Assistant jobs in Minnesota look for? The top searched job categories for Data Analytics Teaching Assistant jobs in Minnesota are:
What cities in Minnesota are hiring for Data Analytics Teaching Assistant jobs? Cities in Minnesota with the most Data Analytics Teaching Assistant job openings:
Data Analytics Teaching Assistant jobs near you
Infographic showing various Data Analytics Teaching Assistant job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Market Risk Data Analytics Specialist (2)

US Bank

Minneapolis, MN

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 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

51st of 171 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

NOTE: This position is not eligible for current or future visa sponsorship.

The Market Risk Data Analytics Specialist will support Market Risk Management through data analysis, reporting automation, risk analytics, and technology-enabled process improvement. This role is intended for a hands-on analytical professional who can work with market risk data, build and maintain reporting tools, investigate data quality issues, and help modernize risk processes using VBA, SQL, Python or similar tools, and emerging AI-enabled capabilities.

The successful candidate will partner with Market Risk, Front Office, Technology, Finance, Model Risk, Operations, and other control functions to improve the accuracy, transparency, efficiency, and auditability of market risk reporting and analytics.

Key Responsibilities

  • Develop, maintain, and enhance market risk reporting tools, dashboards, data extracts, reconciliation processes, and analytical templates used to monitor trading and capital markets risk.
  • Use VBA, SQL, Excel, Python, and other analytical tools to automate recurring market risk processes, reduce manual effort, improve controls, and strengthen reporting consistency.
  • Analyze market risk data, including VaR, stress testing, sensitivities, Greeks, P&L, exposures, limit utilization, back-testing results, and risk factor movements.
  • Investigate and resolve data quality issues related to position data, market data, risk factor data, P&L, model outputs, and downstream reporting exceptions.
  • Support data lineage, data validation, and control documentation for market risk reporting processes, including evidence needed for audit, regulatory, and governance reviews.
  • Partner with Market Risk Managers and quantitative teams to identify drivers of changes in portfolio risk and explain material movements in risk metrics.
  • Assist with model monitoring, back-testing, proxy analysis, stress scenario analysis, data reviews, and recurring committee or senior management reporting.
  • Evaluate opportunities to apply AI, machine learning, natural language processing, or intelligent automation to improve market risk research, documentation, reporting, anomaly detection, workflow efficiency, and management insights.
  • Contribute to the development of AI-enabled analytics in a controlled and transparent manner, including documentation of data sources, assumptions, controls, human review points, limitations, and governance considerations.
  • Work with Technology and data teams to support database enhancements, data acquisition, data storage, process redesign, and modernization of market risk infrastructure.

Ideal Candidate Profile

The ideal candidate is a market risk data analytics professional who combines strong technical development skills with practical risk management knowledge. The individual should be comfortable working with imperfect data, investigating issues from source systems through final reporting, automating manual processes, and explaining analytical results clearly. The role requires someone who can improve today's reporting environment while also helping the team evaluate responsible, controlled uses of AI and modern analytics to support future market risk capabilities.

Basic Qualifications
- Bachelor's degree, or equivalent work experience
- Typically more than eight years of applicable experience
Required Qualifications
  • Bachelor's degree in Finance, Economics, Mathematics, Statistics, Computer Science, Engineering, Data Science, Quantitative Finance, or related analytical discipline.
  • Minimum of five years of experience in financial services, market risk, trading risk, quantitative analytics, data analytics, risk reporting, model monitoring, or a related capital markets function.
  • Strong working knowledge of market risk concepts, including VaR, stress testing, sensitivities, P&L, risk factor movements, limit monitoring, back-testing, and data quality controls.
  • Advanced C#, Excel and VBA skills, including the ability to build, maintain, troubleshoot, and enhance analytical tools and automated reporting processes.
  • Strong SQL skills, including querying, joining, validating, reconciling, and analyzing large datasets from risk systems, databases, or reporting platforms.
  • Experience with Python, R, Power BI, Tableau, Alteryx, or similar analytics, visualization, or automation tools.
  • Ability to translate business and risk requirements into practical data solutions, reporting enhancements, and process improvements.
  • Strong analytical, problem-solving, documentation, and communication skills, with the ability to explain technical findings to both technical and non-technical stakeholders.
  • Experience working with control functions, audit requests, regulatory reviews, data governance standards, or model governance expectations.

Technical Skill Set

  • Required: Advanced Excel, VBA, SQL, data validation, report automation, analytical troubleshooting, and market risk reporting.
  • Strongly Preferred: Python, Power BI, Tableau, data visualization, database querying, risk dashboard development, and process automation.
  • AI / Emerging Technology: Exposure to generative AI, machine learning, natural language processing, AI-assisted documentation, prompt engineering, AI governance concepts, or AI-enabled analytics.
  • Market Risk Analytics: VaR, stress testing, sensitivities, Greeks, P&L attribution, back-testing, proxy analysis, limit monitoring, and risk factor analysis.

Preferred Skills/Experience

  • Master's degree or master's program in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Data Science, Computer Science, Economics, Finance, Analytics, or another relevant quantitative field is a plus.
  • Hands-on experience with AI, machine learning, natural language processing, generative AI tools, intelligent automation, or AI-assisted analytics in a risk, finance, data, or technology environment.
  • Experience with market risk systems or data environments such as RiskMetrics, Bloomberg, Calypso, Murex, Adenza, internal risk databases, data warehouses, or comparable platforms.
  • Knowledge of regulatory risk concepts such as Basel market risk requirements, FRTB, Volcker-related controls, model monitoring, capital reporting, or regulatory exam support.
  • Experience designing dashboards, exception reports, workflow tools, or analytics that improve risk transparency, operational efficiency, and management decision-making.
  • Familiarity with data governance, data lineage, data quality frameworks, controlled EUC environments, software development lifecycle practices, or change management processes.
  • Ability to work independently, manage multiple priorities, challenge data issues constructively, and build effective partnerships across Market Risk, Technology, Finance, Operations, Model Risk, and Front Office teams.

LOCATION EXPECTATIONS: This role requires working from a U.S. Bank Location three (3) or more days per week.

NOTE: This position is not eligible for current or future 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 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: $132,260.00 - $155,600.00

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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