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    Analytics Engineer Senior - Colorado Springs, United States - USAA

    USAA background
    Description
    Why USAA?
    Let's do something that really matters.

    At USAA, we have an important mission: facilitating the financial security of millions of U.S. military members and their families. Not all our employees served in our nation's military, but we all share in the mission to give back to those who did. We're working as one to build a great experience and make a real impact for our members.

    We believe in our core values of honesty, integrity, loyalty, and service. They're what guides everything we do - from how we treat our members to how we treat each other. Come be a part of what makes us so special

    The Opportunity

    As a dedicated Analytics Engineer Senior, you will analyze 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 influence. Builds specifications for reports and analysis based on business needs and required or available data elements. May participate in consultation to users and lead multi-functional teams to address business issues. Prototypes' solutions for displaying information based on business needs.

    We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA or Tampa, FL. Relocation assistance is not available for this position. This position can work remotely in the continental U.S. with occasional business travel.

    What you'll do:
    • Leads and participates in gathering sophisticated and often outstanding business requirements by partnering with customers to define the business problem and data needs.
    • Applies a sophisticated 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 standard processes - 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 improve the impact of the final data visualization product (dashboard, report, insight, or analysis).
    • Acts as a trusted data visualization advisor to the team member/end-user 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 standard processes.
    • May provide internal team leadership by providing mentorship on business intelligence tools, techniques, and processes.
    • Actively participates in industry, COE, or other discipline-relevant groups/panels to stay on top of industry trends and share standard processes with team.
    • Ensures risks associated with business activities are effectively identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures.
    What you have:
    • 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 ways 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 use or build business knowledge through important 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.
    What sets you apart:
    • US military experience through military service or a military spouse/domestic partner.
    • Expert in SQL development.
    • Advanced experience in data modeling and development.
    • Intermediate experience with DDLC and SDLC.
    • Intermediate experience building logical data models for relational databases.
    • Intermediate experience querying P&C Data Assets such as, but not limited to, Claims, ADS/SDS, Billing, Guidewire.
    • Intermediate experience utilizing Enterprise data assets like call data, digital data, IVR, C3i, chat, survey, Member data.
    • Experience capturing requirements to build Omni-channel data assets that support modeling the end-to-end Member and IP journey.
    • Experience identifying and documenting Critical Data Elements.
    • Experience utilizing SQL to perform exploratory data analysis to prototype data requirements into data assets.
    The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

    What we offer:

    Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. The salary range for this position is: $99,160 - $189,530.

    Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

    Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include 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, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

    For more details on our outstanding benefits, please visit our benefits page on

    Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

    USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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