BI Engineer focusing on data modeling at OfficeRnD, developing data solutions and supporting analytics teams. Collaborating cross - functionally to enhance data quality and infrastructure.
About the role
- Business Intelligence Analyst optimizing member service experiences through analytics at USAA. Collaborating with leaders to drive member satisfaction and refine service strategies as part of the team.
Responsibilities
- Independently participates in gathering complex business requirements by partnering with customers to define the business problem and data needs.
- Utilizes an intermediate 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.
- Works closely 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.
- Develops advanced knowledge to influence relevant data, information, and application architecture decisions.
- 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.
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 or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
- 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, etc.) 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 with 2 years’ experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, etc.).
- Experience identifying and implementing innovative approaches to address business problems and solutions.
- 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 ability to build business knowledge through meaningful partnerships at the individual contributor, leadership, and EMG levels.
- Demonstrated advanced communication skills with the ability to deliver presentations to all levels of management.
- Demonstrated ability to embed intuitive story telling within business intelligence solutions.
Benefits
- comprehensive medical, dental and vision plans
- 401(k)
- pension
- life insurance
- parental benefits
- adoption assistance
- paid time off program with paid holidays plus 16 paid volunteer hours
- various wellness programs
- career path planning and continuing education
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