Business Intelligence Analyst Senior

USAA•San Antonio, TX

2d•Hybrid

About The Position

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. Lead and participate in gathering complex and often unique business requirements by partnering with customers to define the business problem and data needs. Utilize an advanced 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. Work with IT execution teams on the development of analytic infrastructures, data engineering, or related business intelligence efforts. Collaborate on the design and implementation of technical standards and governance practices. Apply data visualization best practices, identify the right data tool for the job to identify and interpret trends or patterns while following standard Enterprise branding. Understand the value of prototyping, usability, and the end-user experience to maximize the impact of the final data visualization product (dashboard, report, insight, or analysis). Act as a trusted data visualization advisor to the stakeholder/end-user in order to drive business value. Provide system thinking to influence relevant data, information, and application architecture decisions. Serve as an Agile champion who is responsible for the methodology, execution, and team education on best practices. May provide internal team leadership by providing guidance on business intelligence tools, techniques and processes. Participate in industry, COE, or other discipline-relevant groups/panels to keep abreast of industry trends and share best practices with team. May telecommute.

Requirements

Bachelor’s degree in Data Science, Computer Science, Business Analytics, or related field followed by 6 years of work experience in job offered or in a related occupation.
Master’s degree in Data Science, Computer Science, Business Analytics, or related field and 4 years of experience in the job offered or in a related occupation.
MS SQL Server
PostgreSQL
MySQL
SSIS
Designing and developing ETL pipelines
Tableau
Power BI
SSRS
MS Project
JIRA
Data Manipulation and Validation
Python

Responsibilities

Identify and manage existing and emerging risks that stem from business activities and the job role.
Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled.
Follow written risk and compliance policies, standards, and procedures for business activities.
Lead and participate in gathering complex and often unique business requirements by partnering with customers to define the business problem and data needs.
Utilize an advanced 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.
Work with IT execution teams on the development of analytic infrastructures, data engineering, or related business intelligence efforts.
Collaborate on the design and implementation of technical standards and governance practices.
Apply data visualization best practices, identify the right data tool for the job to identify and interpret trends or patterns while following standard Enterprise branding.
Understand the value of prototyping, usability, and the end-user experience to maximize the impact of the final data visualization product (dashboard, report, insight, or analysis).
Act as a trusted data visualization advisor to the stakeholder/end-user in order to drive business value.
Provide system thinking to influence relevant data, information, and application architecture decisions.
Serve as an Agile champion who is responsible for the methodology, execution, and team education on best practices.
May provide internal team leadership by providing guidance on business intelligence tools, techniques and processes.
Participate in industry, COE, or other discipline-relevant groups/panels to keep abreast of industry trends and share best practices with team.