Data Analyst III/II/I

AFA American Fidelity Assurance Company

  • Oklahoma City, Oklahoma
  • 30+ days ago
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    Skills

    • Actuarial Skillsunmatched
    • Algorithmsunmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Business Strategyunmatched
    • Communication Skillsunmatched
    • Data Analysisunmatched
    • Data Clusteringunmatched
    • Data Miningunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Data Structuresunmatched
    • Data Visualization Toolsunmatched
    • Demographicsunmatched
    • Design Documentunmatched
    • Document Controlunmatched
    • Economicsunmatched
    • Human-Computer Interactionunmatched
    • Machine Learningunmatched
    • Market Trend Analysisunmatched
    • Metricsunmatched
    • Microsoft Access Databaseunmatched
    • Microsoft Excelunmatched
    • Microsoft Officeunmatched
    • Microsoft PowerPointunmatched
    • Microsoft SQL Serverunmatched
    • Microsoft SharePointunmatched
    • Microsoft Wordunmatched
    • Natural Language Processing (NLP)unmatched
    • Negotiation Skillsunmatched
    • Organizational Skillsunmatched
    • Predictive Modelingunmatched
    • Printingunmatched
    • Qlikunmatched
    • R Programming Languageunmatched
    • Research & Development (R&D)unmatched
    • Riskunmatched
    • SQL (Structured Query Language)unmatched
    • Statistical Analysis System (SAS)unmatched
    • Statistical Programming Languagesunmatched
    • Tableauunmatched
    • Test Designunmatched
    • Testingunmatched
    • Time Managementunmatched
    • User Interface Toolsunmatched
    • Writing Skillsunmatched

    Description

    ‎ 

    * 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.

    * 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.

    Skills of Ideal Candidate:

    1. Advanced knowledge of one or more differing statistical programming languages such as SAS, R or Stata.

    2. 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.

    3. Skilled in Robotic Process Automation tools such as UI Path and Artificial Intelligence tools like Data Robot

    4. Skilled in MS Office Suite including MS Access, Excel, PowerPoint, Word and MS SharePoint.

    5. 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

    6. Ability to query databases and datasets and perform statistical analysis on enterprise-class database systems.

    7. Exceptional presentation skills.

    8. Being able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data keeps flowing in rapidly and the world is constantly changing.

    9. Strong negotiation skills.

    10.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.

    11. Exceptional analytical thinking and problem solving skills.

    12. Exceptional understanding of business and business strategy.

    13.Strongplanning skills.

    14. Exceptional organizational skill and ability to work autonomously.

    15. Experience using data visualization tools such as QlikSense or Tableau

    16. Innovative curiosity

    17.Strongknowledge of Data Science

    18.Ability to deal with ambiguity

    Education Requirements:

    Data Analyst III: Actuarial Designationscan substitute for PhD.AFA specific data experience will be considered in lieu of PhD oncase by casebasis

    Data Analyst I/II: High school diploma or equivalent

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    #AFC

    Numbers & Facts

    LocationOklahoma City, Oklahoma

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