Data Science Consultant - Pharmacy

Wellmark, Inc.

$80K — $110K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in statistics, mathematics, finance, accounting, computer science, engineering, or economics, or a Bachelor's degree plus 2 years experience in database analysis.
  • Experience with business intelligence tools like MS Power Bi and Tableau.
  • Proficient in SQL dialects and statistical programming for data analysis.
  • Strong experience in handling large data sets and advanced Excel functionalities.
  • Demonstrated ability to create and present data-driven insights to stakeholders.

Responsibilities

  • Identify complex business problems through stakeholder interactions and gather requirements.
  • Research and consolidate data from various sources into reusable assets.
  • Profile and prepare data for analysis, enhancing data processing efficiencies.
  • Build, execute, and automate analytical models to project business outcomes.
  • Summarize and convey findings to stakeholders with actionable recommendations.
  • Serve as a primary resource for data analysis across various business units.
  • Manage multiple projects simultaneously, supporting corporate process improvements.

Benefits

  • Collaborative work environment with cross-functional partnerships.
  • Opportunities for professional development and mentorship.
  • Engagement in high-profile data projects and analyses.
  • Access to advanced business intelligence tools and technology resources.
  • Career growth potential within a data-driven organization.
Full Job Description
Through collaborative partnerships with key business stakeholders, proactively solves business problems using the analytics lifecycle across domains. Serves as a business consultant for high profile data presentations and data analysis. Performs data manipulation and dataset preparation for business analysis and outcomes and summarizes data in a logical and understandable format. Collaborates with cross-functional partners to drive successful data enabled improvement recommendations from definition through completion, providing solutions and identifying risks. Qualifications Required: • For consideration, you must meet one of the following educational/technical requirements: • Master's degree in quantitative discipline such as statistics, mathematics, finance, accounting, computer science, engineering, or economics - OR • Bachelor's degree in quantitative discipline such as statistics, mathematics, finance, accounting, computer science, engineering or economics and 2 years equivalent work experience with specific experience in the analysis of databases and files using SQL dialects and statistical programming languages with specific experience utilizing data collection, advanced formulas, advanced joins, analysis, statistics, and data presentation. • Experience with business intelligence and analysis platforms such as MS Power Bi and Tableau. • Demonstrated experience in working with large data sets and spreadsheets. • Proficiency with complex data joins. • Naturally curious with ability to drive business decisions and solutions. • Effective communication skills, both verbal and written, with the ability to present complex information. • Proactive, self-starter with demonstrated ability to manage priorities through effective time management skills. • Detail oriented, including a strong analytical/technical orientation. Preferred: • Master's degree. • Prior experience with data manipulation, hypothesis testing, root cause diagnosis, forecasting or modeling. • Experience developing project roadmaps and timelines. • Strong consultation and presentation skills. • Have a passion for mentorship and coaching. • Experience with SAP products including Business Objects. • Thorough understanding of data warehousing. • Proficiency in HROR highly preferred Additional Information Job Responsibilities a. Demonstrate strong business knowledge by identifying complex business problems through discovery sessions and stakeholder interactions. Understand the project objectives and gather requirements to build a preliminary plan. b. Research and gather appropriate data from various sources. Source, extract, assemble, collate, and consolidate data into reusable data assets using complex joins. c. Profile and prepare data for analysis, including the creation of derived elements and macros for processing efficiencies. d. Build, execute, and automate models to analyze business outcomes using tables, graphs, and charts, as well as algorithms, forecasts, and trends. e. Interpret results and identify key findings to quantify business value. f. Develop narratives to summarize and convey findings to stakeholders. Make recommendations based on findings. g. Be a "go to" person for analysis while being adept at quickly assessing the needs of multiple business partners with, at times, ambiguous requirements. h. Manage multiple projects simultaneously and support corporate process improvement initiatives, meeting aggressive timeframes. Participate in cross-functional projects to optimally support the business. i. Provide peer review and coaching within team and across other business areas. j. 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. k. Other duties as assigned.

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