Pay
$122K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 333 postings in the last year. Stated ranges, not salaries paid.
Data Analytics Engineering Intern
Madison Wisconsin
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listedSimilar roles state $122K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- New graduates
- For current students
Job title: Data Analytics Engineering Intern
What you’ll work on
Full postingDevelop and manage data quality metrics, procedures and dashboards
Track data problems, analyze root causes and suggest fixes
Support an enterprise metadata management repository
Communicate data updates to business partners and stakeholders
Document procedures and policies for the Data Governance model
From the employer’s posting
Help develop and manage data quality metrics, procedures, and dashboards.
Track data related problems, analyze root causes, research solutions and suggest fixes.
Support the development of an enterprise-wide metadata management repository.
Communicate data related updates to business partners and stakeholders.
Assist with documenting procedures and policies as part of the Data Governance model.
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 12, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 7 and day 51.
From 1,661 similar postings that came down. Coming down is not always a hire.
Swib is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- Azure
- Excel
- Snowflake
Where the posting names them
- Familiar with Agile Methodologies and project management (Jira, Azure Dev Ops, Scrum) - Basic knowledge of Microsoft Azure Cloud (SQL Database and Blob Storage). - Familiarity with Data Governance concepts such as Metadata, Data Quality etc.
- Familiarity with Data Governance concepts such as Metadata, Data Quality etc. - Basic knowledge of relational databases such as, SQL, Snowflake and SQL language. - Strong analytical and problem-solving skills.
- Familiar with version control concepts (Github, Gitlab, AzureDevops) - Familiar with Agile Methodologies and project management (Jira, Azure Dev Ops, Scrum) - Basic knowledge of Microsoft Azure Cloud (SQL Database and Blob Storage).
- Effective communication skills. - Knowledge of Excel. - Basic understanding of investment management.
Your next step
Complete your application on swib.wd12.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Demand for Analytics Engineer roles
New Analytics Engineer postings at the employers we follow are down 14% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Making a Difference
The State of Wisconsin Investment Board (SWIB), founded in 1951, is a premier global investment organization responsible for managing the more than $178 billion of assets of the fully funded Wisconsin Retirement System (WRS), the State Investment Fund and other state funds. Through SWIB’s effective and innovative investment management, WRS remains one of the only fully funded US public pensions. The WRS consistently ranks among the 10 largest public pension funds in the U.S. SWIB is recognized by the investment industry for our teamwork and innovation. SWIB pursues sophisticated global investment strategies across the asset and risk allocation spectrum. Providers across the investment ecosystem seek to partner with SWIB.
Serving more than 703,000 beneficiaries of the WRS, SWIB is a mission-driven organization focused on providing a strong financial future to those who committed their careers to public service. For public employees and the 1,607 Wisconsin employers who contribute on their behalf, we are a trusted partner. Our team innovates continuously to meet the challenges of an evolving investment landscape while growing and protecting the assets of the WRS.
SWIB provides a strong, steady economic pillar for the state of Wisconsin by growing the trust funds under its management, managing risk, and optimizing costs of the long term. We are a mission-driven organization and the participants we serve are our mission. By bringing a disciplined, prudent, and innovative approach to market opportunities, SWIB has been successful in generating required returns and maintaining the trust of the beneficiaries and stakeholders of the funds we oversee.
Home To Top Talent
Our high-performing staff is key to what makes us a premier investment manager. SWIB is committed to investing in talented professionals to implement our robust, sophisticated investment strategies and to keep the organization at the forefront of the investment industry. We encourage innovation and offer professional development opportunities to help staff sharpen and expand their skills. Approximately 61 percent of SWIB’s investment professionals are Chartered Financial Analyst (CFA) charterholders.
Job Description:
About the Team
The Data Analytics Engineering Team is a growing, client service-oriented team. We are business-centric working closely with the investment management and operational teams to anticipate and meet their complex information and reporting needs for investment decisions regarding the Wisconsin Retirement System. In partnership with Technology, we are transforming SWIB into a premier data driven organization. The ideal team member is someone who has an interest in financial markets and asset management, and thrives in the data landscape in descriptive, diagnostic, and predictive analytics.
Essential activities:
- Help develop and manage data quality metrics, procedures, and dashboards.
- Proactively manage data by reviewing processes and identifying improvements.
- Track data related problems, analyze root causes, research solutions and suggest fixes.
- Support the development of an enterprise-wide metadata management repository.
- Communicate data related updates to business partners and stakeholders.
- Work with front and middle office partners to identify opportunities for improvement.
- Assist with documenting procedures and policies as part of the Data Governance model.
- Incorporate AI tooling into current workflow processes.
- Partner with IT, 3rd party contractors and vendors in data related project initiatives.
The Ideal candidate:
- Ability to work in Madison, WI for an approximate 10-week period beginning late May/early June 2027.
- Undergraduate student studying Computer Science, Information Technology, Library Sciences, Business, Finance, Data Science, Analytics, or other similar disciplines.
- Familiar with version control concepts (Github, Gitlab, AzureDevops)
- Familiar with Agile Methodologies and project management (Jira, Azure Dev Ops, Scrum)
- Basic knowledge of Microsoft Azure Cloud (SQL Database and Blob Storage).
- Familiarity with Data Governance concepts such as Metadata, Data Quality etc.
- Basic knowledge of relational databases such as, SQL, Snowflake and SQL language.
- Strong analytical and problem-solving skills.
- Effective communication skills.
- Knowledge of Excel.
- Basic understanding of investment management.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Madison Wisconsin
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.