Visualization Engineer - Mid Level

USAA•Charlotte, NC

2d•Hybrid

About The Position

USAA is hiring a mid-level Visualization Engineer to analyze complex business problems using internal and external data, identify trends and patterns, and provide insights to analysts and decision makers. The role creates specifications for reports and analyses based on business needs and available data. It may include consulting with users, collaborating on cross-functional teams, and prototyping solutions to display information effectively. The position has a flexible work environment but requires working in the office four days per week. It may be based in San Antonio or Plano, Texas; Phoenix, Arizona; or Charlotte, North Carolina. Relocation assistance is not available. The role does not offer visa sponsorship.

Requirements

Bachelor’s degree in a listed quantitative or business field, or four years of relevant education and/or experience.
Four years of experience in data/analytics or functional business experience within the relevant industry; alternatively, an advanced degree in a quantitative analytics field and two years of relevant experience.
Experience identifying and implementing innovative approaches to business problems and solutions.
Experience developing business deliverables using business intelligence platforms, data management platforms, or SQL-based languages, such as Tableau, Business Objects, Snowflake, Hadoop, Netezza, NoSQL, or ANSI SQL.
Ability to build business knowledge through meaningful partnerships with individual contributors, leadership, and EMG-level stakeholders.
Advanced communication skills and ability to deliver presentations to all levels of management.
Ability to embed intuitive storytelling in business intelligence solutions.

Responsibilities

Gather complex business requirements by partnering with customers to define business problems and data needs.
Use knowledge of multiple data structures and sources to lead the development and implementation of business intelligence solutions, including data visualization, transformation, or collection.
Work with IT execution teams on analytic infrastructure, data engineering, and related business intelligence efforts, including technical standards and governance practices.
Apply data visualization best practices and select appropriate tools to identify and interpret trends or patterns while following enterprise branding standards.
Use prototyping, usability, and end-user experience principles to maximize the impact of visualization products such as dashboards, reports, insights, and analyses.
Advise stakeholders and end users on data visualization to drive business value.
Develop advanced knowledge to influence data, information, and application architecture decisions.
Participate in industry, center of excellence, or other discipline-relevant groups and panels to follow industry trends and share best practices.
Identify, measure, monitor, and control risks associated with business activities in accordance with risk and compliance policies and procedures.