Business Intelligence Analyst Senior - Bank Apply

Key Skills

Java Programming, Finance, Oracle, Python Programming, Database, SQL, SDLC, Big Data Technology, Apache Hadoop, Machine learning techniques, ETL/ELT technologies, NoSQL, Tableau, Snowflake, Marketing analytics, Netezza, Fraud Risk, Metadata

Job Description

We are seeking a talented Business Intelligence Analyst Senior for either our San Antonio Home Office, Plano Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Tampa Campus, or 100% Remote Work Environment.

The incumbent will be working on call center telephony systems, including IVR, CRM, WFM, speech analytics, call recording, FCR, misroutes, transfers, etc. Broad understanding of customer utterances, intents, and the design of conversational customer interactions in a self-service environment.

Analyzes complex 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. Creates specifications for reports and analysis based on business needs and required or available data elements. May participate in consultation to users and lead cross functional teams to address business issues. Prototypes solutions for displaying information based on business needs.

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, standards, and procedures for business activities.
• Leads and participates in gathering complex and often unique business requirements by partnering with customers to define the business problem and data needs.
• Utilizes 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.
• Strategically partners and works 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 best practices - 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 maximize the impact of the final data visualization product (dashboard, report, insight, or analysis).
• Acts as a trusted data visualization advisor to the stakeholder/end-user in order to drive business value. Provides system thinking to influence relevant data, information, and application architecture decisions.
• May 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.
• Actively participates in industry, COE, or other discipline-relevant groups/panels to keep abreast of industry trends and share best practices with team.

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 business-related discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.
• 6 years of data & analytics experience 

  OR

  a minimum of 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.)

• Demonstrated experience in the identification of innovative approaches to address moderately complex business problems and solutions.
• Advanced experience developing business deliverables that leverage business intelligence platforms, data management platforms, or SQL-based languages (Tableau, Business Objects, Snowflake, Hadoop, Netezza, NoSQL, ANSI SQL, or related).
• Proven, expert ability to leverage or build business knowledge through meaningful partnerships at the individual contributor, leadership, and EMG levels.
• Demonstrated expert-level communication skills with the ability to deliver presentations to all levels of management.
• Demonstrated the ability to embed intuitive story telling within the business intelligence solutions and platforms including concise presentation of complex technical details.

Preferred Experience:

• 3 plus years of SQL experience.
• Working knowledge of Python, Big Data and Machine Learning.
• Experience with diverse data platforms such as Snowflake, Netezza, and Hadoop.
• Experience combining data from disparate data sources.
• 2 plus years of Tableau experience.
• Tableau Certification.
• IVR/Contact Center data analysis experience.
• Experience in Financial Services or Banking Industry.
• Strong written and verbal communication skills.
• Strong problem analysis and troubleshooting skills.