Business Strategy Analyst Senior - Distribution & Service Data Science Team
USAAAbout the role
Why USAA?
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.
The Opportunity
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.
The candidate selected for this position will work with the P&C Distribution and Service Data Science team supporting P&C product lines, operations, and quality management functions.
Utilizes quantitative and qualitative analysis to provide thought-leadership on evolving industry trends, market developments, USAA’s strategic direction, regulatory environment, and macroeconomic trends for the business unit. Provides insights and information-based context for key stakeholders in the business unit to optimally manage, influence, and impact line of business strategy.
What you’ll do:
Collaborates with key stakeholders to identify key business assumptions and hypotheses around line of business strategy.
Continuously refines hypotheses and identifies business questions to explore further.
Facilitates the integration of the analytic strategy and business strategy.
Develops the analytical framework and blueprint to answer business questions identified in the business portfolio, product, or member experience.
Collaborates with key stakeholders to evaluate and uncover strategic insights related to Profit & Loss performance including Product Strategy, Pricing, Marketing, Sales, Credit Risk, Distribution Channels, and Member Experience.
Applies analytical rigor to define outcome measures, improve prioritization, increase agility in decisioning, improve ability to evaluate progress towards business outcomes, and to evaluate risks to strategic goals.
Leverages advanced data-driven problem-solving techniques to manipulate and interpret business results.
Translates findings into insights for strategy management and execution.
Communicates the significance of strategic insights to senior leaders and other key stakeholders to drive business decisions.
May provide guidance and on-the-job training to team members.
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
What you have:
Bachelor’s degree in Business, Science, Finance, Economics or related discipline; OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
6 years of data and/or analytics or strategy consulting experience; OR a minimum of 4 years of data and/or analytics or strategy consulting experience and up to 2 years of progressive functional business relevant experience for a total of 6 years combined experience; OR advanced degree in Business, Science, Finance, Economics or related discipline and 4 years of experience in data and/or analytics or strategy consulting.
Experience identifying business needs and managing strategic plans driven by qualitative/quantitative analysis and market insights.
Demonstrated experience using data analytics to formulate data-driven insights and influence business decisions.
Experience performing complex data analysis using various data analytics tools (i.e. Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics).
Demonstrated experience in project management.
What sets you apart:
Experience with partnering and managing the relationship with IT teams on moving solutions within the product environment.
Experience working with model risk and governance.
Strong interpersonal skills and experience articulating data strategy to business leaders.
Outstanding written and verbal communication with the ability to be a storyteller highlighting data and trends.
Financial acumen with the ability to track report spending, budget etc.
Hands on experience with using SQL or Python.
Industry experienc
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