Senior Enterprise Data Analyst

Shelter Insurance Companies•Columbia, MO

18h•Onsite

About The Position

Shelter Insurance is seeking a Senior Enterprise Data Analyst to extract, analyze, and interpret complex data sets to generate valuable insights and support data-driven decision-making. This role is crucial in providing actionable insights and recommendations that drive business growth and operational efficiency. Shelter Insurance, established in 1946, is a leader in the insurance industry, offering auto, home, life, and business insurance. The company prides itself on a purpose-driven culture centered on community involvement, financial strength, and stability, fostering an inclusive, family-oriented environment with opportunities for growth and development. Shelter has been recognized as a 'Best Places to Work' since 2017 and is committed to diversity and inclusion.

Requirements

Bachelor's or master's degree in a quantitative field such as mathematics, statistics, economics, computer science, or a related discipline.
Proven experience (3+ years) as a Data 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.
Ability to perform essential functions of the position, with or without a reasonable accommodation.

Nice To Haves

Experience with Github, dbtLabs is desired.
Experience with Data Catalog & lineage tool is desired.

Responsibilities

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