1

Sql Python Internship Jobs in Wisconsin (NOW HIRING)

Digital Analyst Internships

Racine, WI ยท On-site

$92K - $109K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Milwaukee, WI ยท On-site

$97K - $114K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Whitewater, WI ยท On-site

$97K - $114K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Kenosha, WI ยท On-site

$97K - $115K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Madison, WI ยท On-site

$99K - $117K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Menomonie, WI ยท On-site

$97K - $115K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Green Bay, WI ยท On-site

$95K - $113K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Data Science Engineer

Milwaukee, WI ยท On-site

$77K - $108K/yr

Provides guidance and best practice advice to data science interns. Qualifications * Bachelor ... Working knowledge with core Python packages used for machine learning such as Pandas, scikit-learn ...

next page

Showing results 1-20

Sql Python Internship information

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs at the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as audit, consulting, tax, and advisory, providing valuable experience for students pursuing careers in finance, accounting, and consulting. For a SQL Python internship, gaining experience at these firms can be beneficial, especially if the role involves data analysis or technology projects.

What is a SQL Python Internship?

A SQL Python Internship is a temporary training position designed for students or recent graduates who want hands-on experience working with SQL databases and Python programming. Interns typically assist with data analysis, database management, and automation tasks using SQL and Python. The role helps individuals develop technical skills, gain exposure to real-world projects, and prepare for a career in data science, analytics, or software development.

Is a Python internship worth it?

A Python internship provides practical experience in programming, data analysis, and scripting, which can enhance your skills and improve employability. For a SQL Python internship, gaining hands-on experience with real-world projects and tools like pandas or SQL databases can be valuable for future roles in data analysis or software development.

What are some common projects or tasks I might work on during a SQL Python Internship?

As a SQL Python intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing datasets, building data pipelines, and creating reports or dashboards. Typical tasks may include writing SQL queries to extract or manipulate data from databases, developing Python scripts for automation, and collaborating with data analysts or engineers on ongoing projects. You'll likely participate in team meetings, contribute to code reviews, and receive mentorship to help you develop both technical and professional skills. This hands-on experience is valuable for building a foundation in data engineering or analytics roles.

What are the key skills and qualifications needed to thrive as an SQL Python Intern, and why are they important?

To succeed as an SQL Python Intern, you should have a foundational understanding of database concepts, SQL querying, and Python programming, often supported by coursework or relevant certifications. Familiarity with database management systems like MySQL or PostgreSQL, and experience using tools such as Jupyter Notebooks or version control systems like Git, are typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate and solve problems efficiently. These skills enable interns to contribute to data-driven projects and support the technical needs of their team.

What jobs can you get with SQL and Python?

Jobs that require SQL and Python include data analyst, data scientist, database administrator, business intelligence analyst, and software developer. These roles involve data management, analysis, automation, and building data-driven applications, often requiring proficiency in both programming languages and related tools like SQL databases and data visualization software.

What is the difference between Sql Python Internship vs Data Analyst Internship?

AspectSql Python InternshipData Analyst Internship
Required SkillsSQL, Python, basic data manipulationSQL, Excel, data visualization
Work EnvironmentTech companies, startups, data teamsBusiness, finance, marketing sectors
Industry UsageData engineering, software developmentBusiness insights, reporting

Sql Python Internships focus on developing skills in SQL and Python for data extraction and manipulation, often within tech environments. Data Analyst Internships emphasize data visualization and reporting skills for business decision-making. While both roles involve data handling, Sql Python Internships are more technical and programming-oriented, whereas Data Analyst Internships focus on interpreting data for strategic insights.

Is Python and SQL enough to get a job?

For a SQL Python internship, proficiency in both SQL and Python is essential, but employers often look for additional skills such as data analysis, problem-solving, and familiarity with tools like Git or databases. Gaining practical experience through projects or certifications can improve job prospects, as these skills are commonly required in data-related roles.
What are the most commonly searched types of Sql Python jobs in Wisconsin? The most popular types of Sql Python jobs in Wisconsin are:

$90K/yr

Full-time

Re-posted 25 days ago


Job description

The Investment Risk Analyst supports daily valuation oversight and mutual fund risk management as part of the Allspring Investment Analytics team, partnering with internal stakeholders and external service providers to help ensure data quality, sound controls, and timely reporting

We currently operate in a hybrid working model, whereby you will be required to work in-office 4 days a week. This role may periodically require a shifted schedule, including evening hours, to support time-sensitive deliverables and issue resolution.

Location(s): Milwaukee, Wisconsin USA


  • Perform daily valuation oversight activities for mutual funds, including data review, exception tracking, and documentation.
  • Investigate pricing breaks, NAV exceptions, and other data quality issues; summarize findings, recommend next steps, and escalate as needed.
  • Produce, validate, and distribute risk reporting (daily/weekly/monthly/quarterly), including reasonability checks and variance explanations.
  • Partner with fund accounting, operations, risk, compliance, technology, and external providers (e.g., fund accountants and pricing vendors) to resolve issues, improve data quality, and support process continuity.
  • Support business initiatives and service provider or system changes impacting valuation or risk analytics, including requirements gathering, testing/UAT, parallel runs, and implementation documentation.
  • Build and enhance practical tools using Python code and AI tools to automate workflows, improve daily checks, and streamline risk and valuation processes.
  • Maintain and continuously improve procedures, controls, and audit-ready evidence.
  • Support ad hoc investment, risk, and valuation analysis and respond to stakeholder inquiries, under guidance of senior analysts.

Required Qualifications: 

  • Bachelorโ€™s degree in finance, accounting, economics, mathematics, statistics, computer science, engineering, or a related field (or equivalent work experience).
  • Strong attention to detail and controls mindset with the ability to investigate exceptions, document work clearly, and escalate issues appropriately.
  • Clear written and verbal communication skills.
  • Strong quantitative and analytical skills with the ability to work accurately with large datasets.
  • Ability to use AI tools responsibly to accelerate research, documentation, and basic programming tasks while validating outputs and following firm policies.
  • Ability to learn and navigate multiple financial systems and data sources.
  • Flexibility to periodically work a shifted schedule, including evening hours, to support business needs.
  • Ability to work independently and collaboratively in a cross-functional environment.
  • Remain in stationary position for prolonged periods of time
  • Operate computer programs and software
  • Ability to communicate effectively with audiences in person and in electronic formats
  • Day-to-day contact with others (co-workers and/or public)
  • Ability to work in a collaborative business environment in close quarters with peers and varying interruptions

Preferred Qualifications:

  • 1โ€“5 years of relevant experience (including internships/co-ops) in fund accounting/operations, pricing/valuation, performance, risk, investment research, or audit.
  • Experience with mutual fund operations concepts (e.g., NAV process, pricing sources, corporate actions, or fair valuation).
  • Progress toward CFA designation (CFA Level I candidate or passed Level I) preferred.
  • Intermediate proficiency with data and automation tools, including Excel, SQL Python, Power BI, and/or Tableau.
  • Familiarity with agentic AI concepts and experience developing AI-enabled workflows (e.g., prompt patterns, tool use, and validation/controls).
  • Familiarity with market data and risk platforms (e.g., Bloomberg).
  • Exposure to control frameworks and audit support (e.g., maintaining evidence, performing checklists/reconciliations, documenting procedures).

Please note: This position does not offer sponsorship for employment visas. Applicants must be legally authorized to work in The United States without sponsorship now or in the future.


Base Pay Range: $80,000 - $90,000 

Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary bonus programs, or other annual or non-annual incentive or sales plans.)


We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status