Lead Analytics Engineer
Salary
The salary range for this position is: $120,550 - $230,400.
As a dedicated Lead Analytics Engineer, you will utilize 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. Provide insights and information-based context for key stakeholders in the business unit to effectively manage, influence, and impact line of business strategy.
We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position will be based in the San Antonio, TX office. Relocation assistance is not available for this position.
What you'll do:
- Leads discussions with key stakeholders to communicate information learned from analyses, provide input into line of business strategy development, and drive and influence business decisions. Leads integration of the analytic strategy and business strategy.
- Oversees efforts to identify key business assumptions and hypotheses around line of business strategy. Continuously refines hypotheses and identifies business questions to explore further.
- Develops the analytical framework and blueprint to answer business questions identified in the business portfolio, product, or member experience and provides support to lower levels towards this effort.
- Collaborates with key stakeholders to evaluate and uncover complex or critical strategic insights related to Profit & Loss performance including Product Strategy, Pricing, Marketing, Sales, Credit Risk, Distribution Channels, and Member Experience.
- Applies expert 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.
- Effectively influences and drives strategic agreement utilizing subject matter expertise and interpersonal and negotiation skills.
- Serves as a team lead and provides 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.
- 8 years of data and/or analytics or strategy consulting experience; OR a minimum of 6 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 8 years of combined experience; OR Advanced Degree in Business, Science, Finance, Economics or related discipline and 6 years of experience in data and/or analytics or strategy consulting.
- Experience identifying business needs and developing strategic plans driven by qualitative/quantitative analysis and market insights.
- Experience working with leadership teams to identify key opportunities to develop and enhance business strategy using quantitative and qualitative analytics.
- Experience influencing business decisions.
- Strong analytical skills with experience using hypotheses-driven problem solving.
- Extensive experience leading and performing complex data analysis using various data analytics tools (i.e. Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics).
What sets you apart:
- Demonstrated thought leadership in embedding intuitive story telling of complex analytics engineering projects and concepts.
- Provides thought leadership and system thinking to influence relevant data, information, and application architecture decisions to include staying abreast of changes or evolution to industry standards.
- Encourages innovation, provides direction on work prioritization, manages capacity, assists with problem resolution.
- Partners with IT to build USAA core information delivery capabilities and assist process owners in retiring key UDAs.
- Expert in SQL development using relational and transaction databases.
- Advance experience in cube data modeling and development.
- Proven accomplishments in the delivery of data products in both strategy and execution.
- US military experience through military service or a military spouse/domestic partner
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.