Business Data Specialist

$101K — $125K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in a quantitative field preferred.
  • 4+ years experience as a Data Analyst or similar role in insurance.
  • Strong proficiency in SQL for data management.
  • Experience with data visualization tools like Tableau or Power BI.
  • Proficient in statistical analysis techniques.
  • Familiar with programming languages such as Python or R.
  • Knowledge of data warehousing and modeling principles.

Responsibilities

  • Extract and analyze complex data sets for insights.
  • Collaborate with teams to support data-driven decisions.
  • Provide actionable recommendations for business growth.
  • Interpret data trends to enhance operational efficiency.
  • Communicate findings to both technical and non-technical audiences.

Benefits

  • Health, Dental, Voluntary Vision and Prescription Drug Insurance
  • Savings and Profit Sharing 401(k)
  • Paid Time Off for Sick and Personal Leave, Vacation and Holidays
  • Vitality Wellness Program
  • Flexible Scheduling
  • 'Dress for Your Day' Dress Code
Full Job Description

Business Data Specialist

$101,504 - $125,868 / year minimum starting pay

Job Level: Individual Contributor

Location: Columbia, Missouri (On-site, Full-time)

Shelter maintains broad salary ranges for its roles in order to account for variations in geographic location, education, training, skills, relevant work experience, business needs and market demands.  Please remember that this range is the starting base pay only and does not consider other components that make up the total rewards package for the position. 

What You Will Be Doing:

Extract, analyze, and interpret complex data sets to generate valuable insights and support data-driven decision-making. Collaborating with cross-functional teams, play a crucial role in providing actionable insights and recommendations that drive business growth and operational efficiency.

What We're Looking For:

  • Bachelor's or Master's degree in a quantitative field such as mathematics, statistics, economics, computer science, or a related discipline is preferred.
  • Proven experience (4+ years) as a Data Analyst or Insurance Business Analyst or a similar role, with a focus on analyzing complex data sets and providing actionable insights typically required.
  • Strong proficiency in SQL for data extraction and manipulation.
  • Experience with data analysis and visualization tools such as Tableau, Power BI, Qlik, or similar tools.
  • Proficiency in statistical analysis and modeling techniques, such as regression analysis, time series analysis, clustering, or classification.
  • Familiarity with programming languages such as Python or R for data analysis and scripting.
  • Knowledge of data warehousing concepts and data modeling principles.
  • Excellent problem-solving and critical-thinking skills, with the ability to analyze complex problems and derive practical solutions.
  • Strong attention to detail and ability to work with large and complex data sets.
  • Effective communication skills, with the ability to present complex findings and insights to both technical and non-technical stakeholders
  • Expertise with insurance industry practices and metrics, in one or more areas (underwriting, claims, agencies, sales, actuarial, financial operations)
  • Experience with Github, dbtLabs is desired.
  • Experience with Data Catalog & lineage tool is desired.
  • Ability to perform essential functions of the position, with or without a reasonable accommodation.

Shelter's uncompromising commitment to excellence doesn't stop with our customers. We recognize our employees are what make us a premier organization in the insurance industry. Shelter Employees enjoy such benefits as:

  • Health, Dental, Voluntary Vision and Prescription Drug Insurance
  • Savings and Profit Sharing 401(k)
  • Paid Time Off for Sick and Personal Leave, Vacation and Holidays
  • Vitality Wellness Program
  • "Dress for Your Day" Dress Code
  • Flexible Scheduling
  • And much more!

If interested, please apply by:

07/06/2026

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