Skip to content

Analytics Engineer Mid-Level

USAA LogoUSAA
View Organization

Salary

The salary range for this position is: $81,770 - $156,290

As a dedicated Analytics Engineer Mid-Level, you will analyze sophisticated business problems and issues using data from internal and external sources to provide insight to analysts and decision makers. Identifies and interprets trends and patterns in datasets to locate influences. Builds specifications for reports and analysis based on business needs and required or available data elements. May participate in consultation to users and in multi-functional teams to address business issues. Prototypes’ solutions for displaying information based on business needs.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA or Tampa, FL. This position may work remotely in the continental U.S. with occasional business travel, preference is in office. Relocation assistance is not available for this position.

What you'll do:

  • Independently participates in capturing sophisticated business requirements by partnering with customers to define the business problem and data needs.
  • Uses an intermediate understanding of multiple data structures and sources to lead the development and implementation of business intelligence solutions, which may include data visualization, data transformation, or data collection.
  • Works closely with IT execution teams on the development of analytic infrastructures, data engineering, or related business intelligence efforts. Includes collaborating on the design and implementation of technical standards and governance practices.
  • Applies data visualization standard processes - often selecting the right data ‘tool for the job’ - to identify and interpret trends or patterns while following standard Enterprise branding.
  • Understands the value of prototyping, usability, and the end-user experience to improve the impact of the final data visualization product (dashboard, report, insight, or analysis).
  • Acts as a trusted data visualization advisor to the team member/end-user to drive business value. Develops sophisticated knowledge to influence relevant data, information, and application architecture decisions.
  • Actively participates in industry, COE, or other discipline-relevant groups/panels to watch industry trends and share standard processes with team.
  • Ensures risks associated with business activities are effectively identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures.

What you have:

  • 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 business-related discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
  • 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e., P&C, Bank, Finance, etc.)
  • 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 with 2 years’ experience in data/analytics or functional business experience within the respective industry of responsibility (i.e., P&C, Bank, Finance, etc.).
  • Experience identifying and implementing innovative ways to address business problems and solutions.
  • Experience developing business work that leverage business intelligence platforms, data management platforms, or SQL-based languages (Tableau, Business Objects, Snowflake, Hadoop, Netezza, NoSQL, ANSI SQL, or related).
  • Proven ability to build business knowledge through substantial partnerships at the individual contributor, leadership, and EMG levels.
  • Proven sophisticated communication skills with the ability to deliver presentations to all levels of management.
  • Proven ability to embed intuitive story telling within business intelligence solutions.

What sets you apart:

  • US military experience through military service or a military spouse/domestic partner
  • P&C Sales and Service Experience.
  • Experience with DDLC and SDLC.
  • Experience building logical data models for relational databases.
  • Experience querying P&C Data Assets such as, but not limited to, Claims, ADS/SDS, Billing, Guidewire.
  • Experience utilizing Enterprise data assets like call data, digital data, IVR, C3i, chat, survey, Member data.
  • Experience capturing requirements to build Omni-channel data assets that support modeling the end-to-end Member and IP journey.
  • Experience identifying and documenting Critical Data Elements.
  • Experience utilizing SQL to perform exploratory data analysis to prototype data requirements into data assets.

‌