Full-Time Data Science Associate

• Participate in or conduct discovery sessions and stakeholder interactions to gain business understanding and identify business problem. Understand the project objectives and gather requirements to build a preliminary plan.
• Research and gather appropriate data from various sources. Source, extract, assemble, collate, and consolidate data needs for the business.
• Profile and prepare data for analysis.
• Build and execute models to analyze business outcomes, using tables, graphs, and charts, as well as algorithms, forecasts, and trends.
• Interpret results, identify key findings to quantify business value.
• Develop a narrative to summarize and convey findings to stakeholders. Make recommendations based on findings.
• Create, update, and maintain a production schedule for reporting and ensure reports and presentations are completed on schedule.
• Manage multiple projects simultaneously and support corporate process improvement initiatives, meeting aggressive timeframes.
• Collaborate with peers to identify reporting objectives and develop reports and analyses that meet their need and drive Wellmark’s value proposition for stakeholders.
• Wrangle data from a wide variety of data sets and assemble into normalized and enriched data assets that enables new insights, solutions, and visualizations. Perform and document data profiling, quality assessment, source consolidation, aggregation, and other data manipulation efforts, to understand data formats, source systems, file sizes, etc.
• Create, update, and maintain documentation and procedures for sourcing, analyzing, and preparing internal reporting and presentations. Ensure the highest quality and integrity of data sources.
• Other duties as assigned.

• Bachelor’s degree in quantitative discipline such as statistics, mathematics, finance, accounting, computer science, engineering, or economics.
• Less than 1-year hands-on experience with specific experience in data or statistical analysis, including data collection, joins, analysis, statistics and/or data presentation. Specific exposure with hands-on data analysis of databases and files using SQL dialects and statistical programming languages.
• Strong formulas and data visualizations knowledge.
• Exposure to business intelligence or analysis platforms.
• Naturally curious and ability to drive business decisions and solutions.
• Effective communication skills, both verbal and written, with the ability to present complex information.
• Proactive, self-starter and can manage priorities through effective time management skills.

• Master’s degree.
• Experience working with unstructured data sets.
• Experience developing project roadmaps and timelines.

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