American Fidelity · 20 hours ago
Data Analyst I
American Fidelity is a company that focuses on delivering business value through data analysis. The Data Analyst I will be responsible for executing data mining and predictive modeling projects, collaborating with various teams to produce and maintain critical data and metrics.
Financial ServicesHealth InsuranceInsuranceLife Insurance
Responsibilities
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
Qualification
Required
Must currently reside within 150 miles of OKC metro area
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
Working knowledge of Data Science
Company
American Fidelity
American Fidelity is a life and health insurance company.
H1B Sponsorship
American Fidelity has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (4)
2023 (6)
2022 (7)
2021 (1)
2020 (2)
Funding
Current Stage
Late StageRecent News
2026-01-20
2025-12-10
2025-11-19
Company data provided by crunchbase