Visualization Engineer - Senior Level

USAA•Charlotte, NC

2d•Hybrid

About The Position

USAA is hiring a Senior 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 engineer develops report and analysis specifications based on business needs and available data, advises users, and may lead cross-functional teams and prototype solutions for communicating information. The role requires working in the office four days per week and may be based in San Antonio, Texas; Plano, Texas; Phoenix, Arizona; or Charlotte, North Carolina. Relocation assistance is not available. The Visualization Engineer leads business-requirements gathering, develops and implements business intelligence solutions, and partners with IT execution teams on analytics infrastructure, data engineering, technical standards, and governance. The role applies visualization best practices and enterprise branding, considers usability and end-user experience, and advises stakeholders on using visualization to drive business value. It also contributes to architecture decisions, may champion Agile practices or guide teammates, keeps current with industry trends, and ensures risks are managed in accordance with relevant policies and procedures.

Requirements

Bachelor’s degree in a quantitative or business field, or four years of relevant education and/or experience.
Six years of data and analytics experience; alternatively, four years of data and analytics experience plus up to two years of progressive, relevant functional business experience; or an advanced degree in a quantitative analytics discipline plus four years of data/analytics or relevant functional business experience.
Demonstrated experience identifying innovative approaches to moderately complex business problems and solutions.
Advanced 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.
Expert ability to build business knowledge through meaningful partnerships with individual contributors, leadership, and EMG-level stakeholders.
Expert-level communication skills, including the ability to present to all levels of management.
Ability to incorporate intuitive storytelling into business intelligence solutions and platforms, including concise presentation of complex technical details.
Must not require immigration support now or in the future; USAA does not provide visa sponsorship for this role.
Ability to work in the office four days per week.

Responsibilities

Lead and participate in gathering complex business requirements, 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 visualization, data transformation, or data collection.
Partner strategically 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, select appropriate tools, identify and interpret trends or patterns, and follow enterprise branding standards.
Use prototyping, usability, and end-user experience principles to maximize the impact of dashboards, reports, insights, or analyses.
Serve as a trusted data visualization advisor to stakeholders and end users to drive business value.
Apply systems thinking to influence data, information, and application architecture decisions.
May champion Agile methodology, execution, and team education on best practices.
May guide internal teams on business intelligence tools, techniques, and processes.
Participate in industry, Center of Excellence, or other discipline-relevant groups and panels to follow trends and share best practices.
Ensure risks associated with business activities are identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
Analyze complex business problems using internal and external data, identify trends and patterns, and provide insight to analysts and decision makers.
Create specifications for reports and analyses based on business needs and available data elements; may consult with users, lead cross-functional teams, and prototype information-display solutions.