Data Wrangler: Insights & Dashboards

Wellmark, Inc.; Iowa (LA); On-site; USD 55,000 - 75,000; Full time

Job summary

Wellmark Blue Cross Blue Shield in Iowa is seeking a data analyst to build and maintain complex data assets and provide reporting to analysts and scientists. You will transform raw data into usable formats, profile data quality, and develop automated reports and dashboards to surface key metrics.

Ideal candidates have a bachelor’s degree in a quantitative field and strong SQL, Excel, and data visualization skills, with ability to learn new sources and collaborate across teams.

Qualifications

• Bachelor’s degree in a quantitative discipline is required.
• Less than 1 year hands-on data reporting or analysis experience.
• Ability to learn new data sources and SQL quickly.
• Basic knowledge of relational databases and data quality.
• Detail oriented, self-motivated, strong communicator with analytical orientation.
• Proactive self-starter with time management and prioritization.

Responsibilities

• Wrangle data from diverse sources and build normalized, enriched data assets.
• Perform data profiling, quality assessments, and source consolidation.
• Develop automated reports and dashboards to surface key metrics.
• Gather dataset requirements from analytics stakeholders for downstream analysis.
• Acquire, transform, map, and load data into data models; document architectures.
• Create and maintain documentation for sourcing, analyzing, and presenting internal data.
• Other duties as assigned.

Skills

SQL

Excel

Data Analysis

Data Profiling

Data Quality

Communication

Education

Bachelor's degree in quantitative discipline

Master's Degree (preferred)

Tools

Power BI

Tableau

Python

Spark

Job description

Wellmark Blue Cross Blue Shield in Iowa is seeking a data analyst to build and maintain complex data assets and provide reporting to analysts and scientists. You will transform raw data into usable formats, profile data quality, and develop automated reports and dashboards to surface key metrics.

Ideal candidates have a bachelor’s degree in a quantitative field and strong SQL, Excel, and data visualization skills, with ability to learn new sources and collaborate across teams.