Data Analyst I

American Fidelity • Oklahoma City, OK

21h

About The Position

Must currently reside within 150 miles of OKC metro area. Plan, implement and execute data mining and predictive modeling related projects to which they are assigned to deliver intended business value propositions, on time and within scope according to agreed upon priorities. The Data Analyst is accountable for working collaboratively with data navigators and for the successful delivery of all projects under their supervision. Assist the Research & Development team, Executive Management, and AFA through the production and maintenance of data and metrics regarding demographics, market trends, behavioral economics, and socioeconomic shifts. Responsible for driving business value through actionable insight and opportunity identification as facilitated through comprehensive exploratory, interactive, adaptive, and iterative data mining, machine learning, data science, clustering, artificial intelligence (AI), and predictive modeling related analysis which have generally high complexity and/or business risk. American Fidelity specializes in the education, public sector, automotive and healthcare industries with products like group and individual life, health and annuity services as well as other financial security products and services. We’re focused on offering a different opinion to our Customers – making things easier for them by providing benefits administration and education. For our policyholders, we help provide financial security through our benefit offerings, which provide coverage for some of life’s worst events – cancer, accidents, critical illnesses, death and more – and for some of life’s best – childbirth, retirement and more. Learn more about us!

Requirements

• Bachelor's degree from four-year college or university
• 1-3 years experience
• Working knowledge of one or more differing statistical programming languages such as SAS, R or Stata.
• Ability to develop structure and/or program databases specifically within an MS SQL environment, skilled in the utilization of Structured Query Language (SQL) for interacting with data sets.
• Understanding of data structures and ability to become proficient in mining data structures and lineage in support of data foot printing and inventory techniques.
• Skilled in Robotic Process Automation tools such as UI Path and Artificial Intelligence tools like Data Robot.
• Skilled in MS Office Suite including MS Access, Excel, PowerPoint, Word and MS SharePoint.
• Familiarity with the following disciplines: Natural Language Processing: Interaction between computers and humans • Machine Learning: using computers to improve as well as develop algorithms • Conceptual modeling: to be able to share and articulate conceptual approaches to solving business questions/problems • Statistical analysis and Predictive modeling • Hypothesis testing: design hypothesis, document control and test with appropriate modeling and experimentation.
• Ability to query databases and datasets and perform statistical analysis on enterprise-class database systems.
• Exceptional presentation skills.
• Being able to work in a fast-paced multi-disciplinary environment as in a competitive landscape new data keeps flowing in rapidly and the world is constantly changing.
• Strong negotiation skills.
• Strong communication skills, including written, verbal and listening which can be deployed successfully when addressing entry level Colleagues to management to senior executives. This includes the ability to speak confidently in both business and technological surroundings and appropriately transliterate between the two.
• Exceptional analytical thinking and problem solving skills.
• Exceptional understanding of business and business strategy.
• Strong planning skills.
• Exceptional organizational skill and ability to work autonomously.
• Experience using data visualization tools such as QlikSense or Tableau
• Innovative curiosity

Responsibilities

• Plan, implement and execute data mining and predictive modeling related projects
• Work collaboratively with data navigators
• Assist the Research & Development team, Executive Management, and AFA through the production and maintenance of data and metrics
• Driving business value through actionable insight and opportunity identification

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level