Data Science Consultant - Generative AI (Open to hiring at Sr. Data Science Consultant level)

Wellmark, Inc.

$90K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in a quantitative field or a Bachelor's with 2 years of relevant experience
  • Proficient in SQL and statistical programming languages for data analysis
  • Experience with business intelligence tools like MS Power BI and Tableau
  • Strong capabilities in managing large datasets and performing complex data joins
  • Effective communicator with the ability to present complex data clearly and accurately
  • Proactive self-starter, able to manage priorities effectively
  • Detail-oriented with strong analytical skills.

Responsibilities

  • Identify and analyze complex business problems through stakeholder interactions
  • Gather and consolidate data from various sources using complex join techniques
  • Prepare and profile data for analysis, including creating derived elements
  • Automate analysis models to interpret business outcomes and trends
  • Develop narratives to present findings and make informed recommendations
  • Act as a primary resource for analysis needs among business partners
  • Manage multiple projects while ensuring high-quality documentation and data integrity

Benefits

  • Opportunities for professional development and continued education
  • Access to advanced business intelligence and analytics tools
  • Collaborative work environment that fosters innovation
  • Support for project involvement across multiple business domains
  • Mentorship and coaching opportunities available within the team
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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