Fusion Data Intelligence Analyst Senior – Accounting
Company | USAA |
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Location | Colorado Springs, CO, USA, Charlotte, NC, USA, San Antonio, TX, USA, Phoenix, AZ, USA |
Salary | $103450 – $197730 |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Senior |
Requirements
- Bachelor’s degree in a 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; 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 accounting area of the banking and/or insurance industry for a total of 6 years combined experience OR advanced degree in a 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 accounting area of the banking and/or insurance industry
- 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 and data visualization platforms (Tableau, SAP Business Objects, Oracle FDI, OTBI, Sigma), data management platforms (Snowflake, Hadoop, Oracle Cloud, Oracle on-prem, Microsoft SQL Server), or SQL-based languages (ANSI SQL, NoSQL, etc)
- 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.
Responsibilities
- 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
- Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
Preferred Qualifications
- 6+ years of accounting analytics experience solving complex data delivery and reporting solutions
- 4+ years of experience with Oracle Fusion Data Intelligence (FDI) development and reporting
- 4+ years of experience with Oracle Cloud ERP and EPM products
- 2+ years of experience with Oracle BI Publisher (BIP)
- Extensive experience with cube data structures i.e. Essbase and Oracle Cloud
- US military experience through military service or a military spouse/domestic partner