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Auto-Owners Insurance

Business Intelligence Engineering Intern - Summer 2027

  • Seen live on Auto-Owners Insurance's site 2 days ago
  • Intern / co-op
  • Summer 2027
Pay
Not stated
Location
Lansing, MI
Open for
17+ days
First seen
Oct 18, 2026
Apply on Auto-Owners Insurance's site (opens in a new tab)

Posting record

No flags

Open 17+ days

The posting's record, oldest first
  1. Auto-Owners Insurance's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Auto-Owners Insurance, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

A career at Auto-Owners is challenging and rewarding. Our group of caring associates create financial security by helping individuals and businesses make a new start when a loss occurs.

Job Description

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a motivated Business Intelligence Engineering intern to join our team this summer. The position analyzes data processes and the needs of users and stakeholders; develops project plans; and designs, implements, and manages data quality, data reporting, and governance solutions. The position requires the person to

  • Work with project stakeholders to identify business requirements and expected outcomes.
  • Create, evaluate, and summarize data assets in a form acceptable for use within the Company or outside the Company, including use by government bureaus, agencies, and others.
  • Understand data sources and the data lineage of various computer systems in the Company.
  • Build, maintain, and document code used to transform, aggregate, and analyze data.
  • Create and enhance data extracts and analyses to support data reporting functions and inquiries.
  • Evaluate the reliability of sources of data, investigate data integrity, identify data problems, and provide technical expertise for ensuring data quality, while promoting understanding within the Division.
  • Contribute to and promote the peer review process, verify work completed by others, and develop other quality control measures.
  • Participate in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives.

This internship has full-time hours (Monday through Friday) and is in person in Lansing, Michigan. Interns choose their start and end dates. Most join in mid-May and stay until mid-August.

Desired Skills & Experience

  • Student must be working toward a bachelor’s in statistics, computer science, data mining, machine learning, mathematics, physics, operations research, or a related quantitative discipline, and have at least two years of coursework completed. Master’s students are also considered if graduation is August 2026 or later.
  • Actuarial studies and exams are considered but not required.
  • Ability to apply mathematical, statistical, and programming concepts and procedures to analyze and solve complex insurance processes.
  • Demonstrate strong analytical reasoning, problem solving, technical writing, and collaboration and presentation skills.
  • Exhibit high level of initiative, motivation, organization, and leadership.
  • Ability to lead projects and coordinate among diverse stakeholders.
  • Ability to mentor by sharing knowledge and challenging others to grow their skill sets.
  • Ability to work effectively with others at all levels.

Equal Employment Opportunity

Auto-Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law.

*Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.

#LI-DNI #IN-DNI

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