Data Analyst III/II/I

Job Summary

Plan, implement and execute data mining and predictive modeling related projects 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.

Responsibilities

• Work collaboratively with Data Navigators to deliver projects
• 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
• Drive 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

Requirements

• Advanced knowledge of one or more differing statistical programming languages such as SAS, R or Stata
• 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 Natural Language Processing, Machine Learning, Conceptual modeling, Statistical analysis and Predictive modeling, Hypothesis testing, and Data visualization tools such as QlikSense or Tableau

Qualifications

• Data Analyst III: Actuarial Designations can substitute for PhD. AFA specific data experience will be considered in lieu of PhD on case by case basis
• Data Analyst I/II: High school diploma or equivalent