Data Specialist - Hybrid Work Environment

Posted:
11/6/2024, 4:00:00 PM

Location(s):
Lansing, Michigan, United States ⋅ Michigan, United States

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
Data & Analytics

Workplace Type:
On-site

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

We offer a merit-based work-from-home program based on job responsibilities. After initial training in-person, this specific role could have the flexibility to work from home up to 3 days per week.

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a motivated Data Specialist to join our team. 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.
  • Evaluate and complete regulatory data requests in an accurate and timely manner.
  • 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.
  • Assist with training and mentoring of other associates.
  • Contribute to and promote the peer review process, verify work completed by others, and develop other quality control measures

Desired Skills & Experience

  • Bachelor’s degree in mathematics, statistics, actuarial science, data science, or related field is required. Course work with databases or in a programming language is required.
  • Successful completion of actuarial exams or other Company approved courses is preferred. These requirements may be waived or changed, at Company discretion, based on prior education and/or experience.
  • 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.

Benefits

Auto-Owners offers a wide range of career opportunities, and we are seeking talent that will help us continue our long tradition of success. We offer a friendly work environment, structured training program, employee mentoring and an excellent compensation/benefits package. Along with a competitive base salary, matched 401(k), fully-funded pension plan (once vested), and bonus programs, Auto-Owners also provides generous paid time off including holidays, vacation days, personal time, and sick leave. If you're looking to do rewarding work alongside great people, Auto-Owners is the place for you!

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.