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Financial Data Analyst Intern Jobs in Minnesota (NOW HIRING)

Reference Data Analyst

Minneapolis, MN · On-site

$116K - $188K/yr

Financial instrument knowledge across asset classes - Solid understanding of Equities, Fixed Income ... Analytical & data reconciliation skills - Strong analytical, problem-solving, and reconciliation ...

New

Helping the customers and businesses we serve to make better and smarter financial decisions and ... Analyze and transform data to support operational business needs * Partner with internal ...

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Hands-on experience managing and analyzing data in financial services (e.g. financial services KPIs, UHNW analytics, marketing, fixed income, advisory etc.) * Strong analysis skills, primarily ...

Finance, Sales Operations, etc) on data requests. Other ad-hoc projects that incorporate people ... Highly analytical with a proven ability to translate data analysis and research findings into easy ...

Strong SQL and data analysis expertise. * Experience translating business needs into technical ... Financial services or customer data experience. Founded in 2010 and headquartered in the Washington ...

FP&A Analyst

Minneapolis, MN · On-site

$120K/yr

... Analyst | Denver, CO / Detroit, MI / Minneapolis, MN A well-established, full-service law firm with ... SQL experience -- writing complex queries for financial data extraction and reporting * Experience ...

... Analyst | Denver, CO / Detroit, MI / Minneapolis, MN A well-established, full-service law firm with ... SQL experience -- writing complex queries for financial data extraction and reporting * Experience ...

Financial Analyst

Maplewood, MN · On-site

$35 - $39/hr

Financial Analyst Location: Saint Paul, MN Type: 2 year Contract Compensation: $35.00 - 39.00 Work ... Monitor financial data and ensure accurate financial tracking across vendors operating in eight ...

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

Find competitive benefits from financial and education to well-being and beyond at About us ... A Sr. Data Analyst role with our Property Analytics team means you will support and advance the ...

... Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk ... The AI Data Analyst partners with data engineering, AI, and governance teams to assess data ...

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

Find competitive benefits from financial and education to well-being and beyond at About us ... A Sr. Data Analyst role with our Property Analytics team means you will support and advance the ...

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

Find competitive benefits from financial and education to well-being and beyond at About us ... This Senior Data Analyst role within the Food Supply Chain Data & Analytics team is focused on ...

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

Find competitive benefits from financial and education to well-being and beyond at About us ... This Senior Data Analyst role within the Food Supply Chain Data & Analytics team is focused on ...

Senior Financial Analyst

Minnetonka, MN · On-site

$70K - $120K/yr

Lead financial data validation for new TPA claims platform migration * Detailed attribute testing of data and reports in collaboration with other departments * Implement and maintain claims data ...

Showing results 21-40

Financial Data Analyst Intern information

What does a financial data analyst intern do?

A Financial Data Analyst Intern supports finance teams by collecting, analyzing, and interpreting financial data to help inform business decisions. Their tasks often include building spreadsheets, preparing reports, identifying trends, and assisting with forecasting and budgeting activities. Interns work with large datasets, use tools like Excel or SQL, and may also learn visualization software to present findings. The role provides hands-on experience in financial modeling, data analysis, and industry research, helping interns develop valuable analytical and technical skills.

What are the key skills and qualifications needed to thrive as a financial data analyst intern, and why are they important?

To thrive as a Financial Data Analyst Intern, you generally need strong quantitative skills, proficiency in data analysis, and a background in finance, accounting, or a related field. Familiarity with Excel, SQL, and data visualization tools like Tableau, as well as experience with financial modeling, are commonly required. Attention to detail, analytical thinking, and effective communication help interns interpret data accurately and present insights clearly. These skills are crucial for supporting data-driven decision-making and providing valuable financial insights to the organization.

Can I do a financial data analyst internship?

A financial data analyst internship is typically available to students or recent graduates with skills in finance, data analysis, and tools like Excel or SQL. Internships often require a background in finance, economics, or related fields and may involve working with financial models and data visualization tools. Eligibility criteria vary by company but generally include demonstrating analytical skills and a willingness to learn.

What types of projects and tasks can a financial data analyst intern expect to work on during their internship?

As a Financial Data Analyst Intern, you can expect to support senior analysts and finance teams by gathering, cleaning, and analyzing large sets of financial data. Common tasks include building and maintaining financial models, preparing reports and dashboards, and assisting with forecasting and budgeting processes. Interns often collaborate with other departments, such as accounting or business operations, to ensure data accuracy and gain insights for decision-making. This hands-on experience helps interns develop technical and analytical skills while learning industry-standard tools and best practices.
What are the most commonly searched types of Financial Data Analyst jobs in Minnesota? The most popular types of Financial Data Analyst jobs in Minnesota are:
What cities in Minnesota are hiring for Financial Data Analyst Intern jobs? Cities in Minnesota with the most Financial Data Analyst Intern job openings:
Infographic showing various Financial Data Analyst Intern 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.

Enterprise Data Analyst

Husch Blackwell LLP

Minneapolis, MN • On-site, Remote

Full-time

Posted 17 days ago


Husch Blackwell rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

3rd of 34 rated law firms


Job description

Husch Blackwell LLP is a full-service litigation and business law firm with multiple locations across the United States, serving clients with domestic and international operations.

At Husch Blackwell we believe that diverse, equitable and inclusive teams lead to better outcomes. Husch Blackwell is committed to retaining, recruiting, developing, and promoting talented lawyers and business professionals with diverse backgrounds and experiences. We foster an engaged, diverse, and inclusive team culture of accountability and purpose that makes our Firm and our communities better.

Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation. If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Enterprise Data Analyst position. This position may be filled remotely or in a hybrid capacity in any of our Central and Eastern Time locations. Strong candidates located in Mountain Time will also be considered.

The Enterprise Data Analyst is a firmwide shared-services role within the Firm’s Data Science function. The analyst turns the Firm’s data, client data, and the extensive internal data the Firm maintains into clear, actionable insight, delivered primarily through Power BI dashboards and reports that teams across the Firm rely on. The role will initially support a key business unit, with scope expanding to serve additional practice groups and functions across the Firm over time. The right candidate will be skilled in the visual display of quantitative information and have a passion for high impact data storytelling. Essential functions include:

Data Analysis & Insight

  • Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns, and actionable insights
  • Clean, transform, and structure data to ensure accuracy, consistency, and readiness for analysis
  • Apply statistical and data-modeling techniques to answer business questions and support decision-making
  • Leverage AI and generative-AI tools to accelerate analysis, automate routine tasks, and enhance data products
  • Translate stakeholder questions into clearly defined analytical problems, prioritizing work by impact and urgency

Dashboarding & Reporting

  • Design, build, and maintain Power BI dashboards that serve as the Firm’s primary, everyday reporting tools
  • Build automated, self-service reports and visualizations in Power BI and Tableau, tailored to different audiences across the Firm
  • Use data storytelling to deliver client-facing data presentations and executive-level reports that communicate findings clearly to key partners, clients, and other internal and external stakeholders, and drive action
  • Collaborate with the Data Science Information Design and Engineering function to deliver data visualization and information rich analyses across various media types
  • Streamline and standardize reporting processes to ensure timely, accurate delivery of key metrics

Data Management & Quality

  • Partner with the Data Engineering team to source, integrate, and validate data from across the Firm
  • Develop and apply data quality standards to ensure reliable, trustworthy outputs
  • Document data sources, definitions, and methodologies to support consistency and reuse
  • Maintain and enhance existing datasets, models, and reporting pipelines

Cross-Functional Collaboration

  • Partner with teams across the Firm; including Finance and client-facing groups to gather requirements and align on objectives
  • Work directly with internal stakeholders and, where appropriate, clients to understand needs and deliver solutions
  • Connect analytical findings to business outcomes and Firm priorities

Continuous Improvement & Growth

  • Share knowledge and best practices to elevate data and analytics capabilities across the Firm
  • Identify opportunities to automate, improve, and scale analytics as the function grows
  • Contribute to building out the Firm’s enterprise data and analytics capabilities over time
  • Develop and improve reporting and business intelligence techniques to align the firm with leading edge information and business intelligence delivery
  • Engage in research and study to continuously improve the Firm’s reporting and business intelligence

POSITION REQUIREMENTS

  • Bachelor’s degree in statistics, economics, computer science, information design, or a related quantitative communications field; commensurate professional and educational experience shall also qualify
  • 3+ years in data analysis, business intelligence, or a related analytical role (the role may be filled at more than one level; strong candidates earlier in their careers will also be considered)
  • Advanced, demonstrable proficiency in Power BI is required; including building, publishing, and maintaining production dashboards
  • Strong proficiency in Excel and SQL, with experience querying and working with large, complex datasets
  • Proficiency with basic statistical and analytical tools including the Python statistical ecosystem
  • Experience working with data warehouses, databases, and modern BI/data platforms
  • Strong data storytelling skills, with a proven ability to design clear, effective data visualizations and deliver client-facing presentations to partners, clients, and other internal and external stakeholders
  • Experience with statistical modeling, regression analysis, and null hypothesis significance testing
  • Proven ability to independently scope and lead complex data analysis projects
  • Experience analyzing financial and operational performance metrics and the drivers behind them
  • Fluent in translating complex data into clear implications and actionable recommendations for the business
  • Comfortable working with large, complex datasets and developing data quality standards
  • Experience working directly with senior stakeholders and, where appropriate, clients
  • Operates with a client-service mindset; responsive, proactive, and a trusted advisor
  • Comfortable working at both strategic and tactical levels
  • Thrives in fast-paced environments with shifting priorities
  • Strong attention to detail and ability to maintain accuracy under pressure
  • Eager to contribute beyond assigned tasks and play a key role in the growth of a new, firmwide analytics function
  • Understanding of data confidentiality and the sensitivity of legal and client information

Preferred Qualifications

  • Experience supporting multiple business units or functions in a shared-services or enterprise environment
  • Experience with data pipeline or ETL processes and working alongside data engineers
  • Experience applying AI and generative-AI tools to accelerate and enhance analytics
  • Familiarity and comfort with executive level communication and presentations

The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities, or requirements. The Firm will provide reasonable accommodations as necessary to allow an individual with a disability to apply for and/or perform the essential functions of a position. If you need assistance to accommodate a disability, please contact HR.

COMPENSATION AND BENEFITS

Employees are entitled to compensation commensurate with skill and experience. The exact compensation will vary based on skills, experience, location, and other factors permitted by law. The expected compensation ranges for this position in various states and jurisdictions are as follows:

  • State of California: $116,000 - $237,000
  • State of Colorado: $107,000 - $191,000
  • State of Illinois: $105,000 - $204,000
  • State of Maine: $79,000 - $182,000
  • State of Maryland: $113,000 - $171,000
  • State of Massachusetts: $116,000 - $222,000
  • State of Minnesota: $116,000 - $192,000
  • Jersey City, NJ: $126,000 - $229,000
  • State of New York: $108,000 - $234,000
  • State of Vermont: $115,000 - $220,000
  • State of Virginia: $76,000 - $220,000
  • State of Washington: $113,000 - $214,000
  • Washington, D.C.: $150,000 - $220,000

The above salaries do not include a discretionary bonus, however bonus opportunities are non-guaranteed, and are dependent upon individual and firm performance. Full-time employees receive benefits including: medical and dental coverage; life insurance; short-term and long-term disability insurance; pre-tax flexible spending account for certain medical and dependent care expenses; an employee assistance program; Paid Time Off; paid holidays; participation in a retirement plan program after meeting eligibility requirements; and more.

Please include a cover letter and resume when applying.

EOE/Minority/Female/Disabled/Vet. Principal Applicants Only.

#LI-Remote
#LI-KW1


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