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Data Analyst Senior - Bank Omnichannel

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Job ID
R0080347
Date posted
07/01/2022

Purpose of Job

We are seeking a talented Data Analyst Senior for either our San Antonio Home Office, Plano Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Tampa Campus, or Remote Work Environment.

This position will support the Channel Analytics team in the Bank Business Intelligence & Analytics division. The Channel Analytics team is dedicated to influence the Bank Omnichannel strategy and execution by providing best-in-class data driven business decision making capabilities through advanced data science techniques (including statistical/ML models), speed-to-market solutions and super customer experience.
The successful candidate will serve a critical role of driving thought leadership and execution on member-centric growth and engagement strategies and their behavior/preferences across channels to guide the Bank Omni on proactive acquisition and servicing strategies. In addition to supporting business performance management, this role will also be responsible for delivering on digital marketing analytics and leading large enterprise initiatives.

Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.

Job Requirements

About USAA

USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.

Primary Responsibilities:

  • Identifies and manages existing and emerging risks that stem from business activities and the job role. 
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. 
  • Follows written risk and compliance policies and procedures for business activities. 
  • Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.
  • Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.
  • Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change. 
  • Translates recommendation into communication materials to effectively present to various levels of management.
  • Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
  • Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
  • Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
  • Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
  • Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
  • Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.
  • Provides subject matter expertise in operationalizing recommendations.
  • Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data).
  • Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework). 

When you apply for this position, you will be required to answer some initial questions.  This will take approximately 5 minutes.  Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.

Minimum Requirements:

  • Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline OR 4 years work experience in statistics, mathematics or quantitative analytics or related experience can be substituted in lieu of a degree in addition to the minimum years of work experience required.
  • 6 years of data & analytics experience; OR 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience; OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.).
  • Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
  • Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
  • Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

Preferred Experience:

  • Proven track record in successfully leading and executing analytics for large scale strategic efforts
  • Experience in leading analytical/statistical processes and techniques including multi-dimensional customer segmentation, customer profiling, customer group differentiation analytics, variable clustering, correlation/regression analytics, statistical sampling, and probability trees.
  • Proficient in machine learning algorithms encompassing supervised & unsupervised learning techniques; and demonstrated experience in applying sophisticated algorithms to business problems.
  • Strong programming skills in SAS, Python, ArcGIS, SQL and proficiency in AWS Snowflake, and Tableau.
  • Demonstrated the ability to innovate, institute new analytical technologies as needed, and apply integrated analytical thinking across cross-channel services offering.
  • Ability to convey complex analytics in an understandable way to non-executive and executive levels.
  • Clear communication of complex ideas and ability to build consensus across multiple stakeholders
  • Demonstrated initiative, inquisitiveness, problem solving, strong work ethic and focus on delivering superior customer experience. 
  • Excellent human relations, communication, planning and project management skills.
  • Ability to plan and work on multiple major, often high-visibility assignments concurrently.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Compensation:

USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $97,200 - $175,000 *(this does not include geographic differential it may be applied based on your work location).

Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.

*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average. 

Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.

Benefits:

At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness.  These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs.  Additionally, our career path planning and continuing education assists employees with their professional goals.

Please click on the link below for more details.

USAA Total Rewards

Relocation assistance is not available for this position.

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