BBVA Compass


    Posted Date 2 weeks ago(6/6/2018 12:29 PM)
  • Overview

    Responsible for development and maintenance of analytic models used to address needs of bank; develop complex analysis and reporting to support the company’s business intelligence efforts. 


    Primary Duties and Responsibilities

    • Data Wrangling and Query: Plans data collection, and analyzes and interprets numerical and categorical data from multiple data sources in support of analytic projects through SQL, SparkSQL,
    • Data Analytics: Develop predictive analytic models and data driven hypothesis as needed to address needs of various lines of business through SAS/R/Python.
    • Presentations: Develop business friendly reports/visualization and presentation materials that effectively communicate results and actionable recommendations.
    • Follow-through: Follow through on the analytics recommendations to develop campaigns, manage timelines and proactively communicate risks and possible mitigations.  
    • Develop and design code to support ad hoc and ongoing projects within the organization designed to develop customer engagement and support decision making by business partners
    • Contribute to existing model maintenance and development


    Requires Bachelors or masters degree in statistics, economics, business or a related field.  Two years work experience with SAS, R, SQL, SparkSQL, or Python preferred. 


    The following skill set is desired: strong verbal and written communications skills, with an ability to express complex technical concepts; strong analytical, problem-solving and conceptual skills; good project management skills, operating as part of a team organizing, planning and executing complex projects; good troubleshooting skills.


    Analysis and Development

    • Codes, tests, debugs, implements moderately complex reporting solutions (SAS Enterprise Miner, SAS Enterprise Guide, SQL, Microsoft Office Tools, Python, R, AWS, Cloudera).
    • Proficient in SQL queries and in using Oracle SQL developer or similar.
    • Creates appropriate documentation in work assignments such as program code, and technical documentation.
    • Demonstrated analytical and problem solving skills.
    • Design experiments and conduct statistical analysis to evaluate the outcomes of predictive models and test campaigns. Identify area for improvement and movement toward best standards.
    • Strong communication, interpersonal and organization skills with an ability to effectively execute tactical plans.

    Technical Requirements

    • Experience in the use of complex data environments.  Financial industry data warehousing experience preferred.
    • Proficient with Python or R or SAS Guide and SAS Enterprise Miner.
    • Proficient in the use of SQL or SpakSQL.  


    • Grade 16: Graduate coursework experience only or less than 2 years of experience. 
    • Grade 18: At least 2 years of previous experience.  Able to handle moderately complex projects/assignments. 


    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share on your newsfeed

    Connect With Us!

    Not ready to apply? Connect with us for general consideration.