BBVA Compass Jobs

Job Information

BBVA Compass Data Specialist/Scientist - Commercial Analytics in Houston, Texas

Overview

At BBVA, we are working to make banking better for everyone. That is where you come in. We are looking for smart, team oriented people who want to be part of a first-class workforce that gives people the tools they need to meet their financial goals, all while delivering an outstanding client experience. Learn more below.

Responsibilities

  • Perform analysis to provide insights into potential opportunities for the bank and internal customers

  • Ability to create custom reports and workspaces in Adobe Analytics Suite

  • Experiment with new features and enhancements released by Adobe, and bring them into the platform & organization

  • Integrate insights into DMP and DSP platforms to perform attribution and targeting

  • Develop visualizations and dashboards to deliver insights (Tableau/Domo)

  • Assess the current state & identify opportunities for improvement and best practice recommendations

Qualifications

  • Experience with Digital Analytics, Adobe Analytics Suite, Digital asset tagging

  • Previous work or academic experience related to predictive analytics and modeling

  • Programming skills with Python, SAS Guide and SAS Enterprise Miner

  • Understanding of Big Data ecosystem and tools used (PySpark, Alteryx, IPython, Postgres)

  • Experience with Tableau

  • Proficient in SQL queries and in using Oracle SQL developer

  • Knowledge working with databases

  • Ability to develop data cleansing, aggregation, etc. for analysis and reporting

  • Strong quantitative and analytical skills.

  • Excellent communication skills and must be able to communicate effectively with technical and non-technical employees

  • Financial services or banking experience is a plus

Job ID 2019-120946

Site Name TX-HOUSTON-HOUSTON TOWER

Category BUSINESS DEVELOPMENT USA

Work Location US-TX-Houston

FLSA Status EXEMPT

Type FULL TIME

EOE Statement Equal Opportunity Employer - Minority/Female/Disability/Veterans.

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