Decision Science Analyst Lead - Life Company (Remote)
Company: USAA
Location: Tempe
Posted on: August 4, 2022
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Job Description:
Job Description We are currently seeking a talented Decision
Science Analyst Lead within the Life Company. The primary focus of
this role will be to support Life Company member segmentation with
providing insights and advice to Life Company leadership. In
addition to insights delivery, the individual selected for this
position will be the point of contact as the Life Company
representative for supporting enterprise efforts surrounding the
member segmentation efforts. This position is open to working
Remote or a Hybrid schedule from the San Antonio, Phoenix, Colorado
Springs or Tampa campuses. Provide decision support for business
areas across the enterprise. Staff in this area will be responsible
for applying mathematical and statistical techniques and/or
innovative /quantitative analytical approaches to draw conclusions
and make 'insight to action' recommendations to answer business
objectives and drive change. The essence of work performed by the
Decision Science Analyst involves gathering, manipulating and
synthesizing data (e.g., attributes, transactions, behaviors,
etc.), models and other relevant information to draw conclusions
and make recommendations resulting in implementable strategies. Job
Requirements Tasks: Identifies and manages existing and emerging
risks that stem from business activities and the job role. Ensures
risks associated with business activities are effectively
identified, measured, monitored, and controlled. Follows written
risk and compliance policies, standards, and procedures for
business activities. Leverages expert business, analytical and
technical knowledge to lead discussions with cross functional teams
to understand and collaborate highly complex business objectives
and influence solution strategies. Applies advanced analytical
techniques to solve business problems that are typically large
scale with significant impact to current and/or future business
strategy. Organizes and oversees the development of
requirements/resources necessary to meet established objectives
Applies innovative and scientific/quantitative analytical
approaches to draw conclusions and make recommendations to answer
the business objective and drive the appropriate change. Translates
recommendation into communication materials to effectively present
to all levels of management. Incorporates visualization techniques
to support the relevant points of the analysis and ease the
understanding for less technical audiences. Identifies and gathers
the relevant and quality data sources required to fully answer and
address the problem for the recommended strategy through testing or
exploratory data analysis (EDA). Integrates/transforms disparate
data sources and determines the appropriate data hygiene techniques
to apply. Thoroughly documents assumptions, methodology, validation
and testing to facilitate peer reviews and compliance requirements.
Monitors, understands and adopts emerging technology that can
affect the application of scientific methodologies and/or
quantitative analytical approaches to problem resolutions.
Succinctly delivers complex analysis/findings in a manner that
conveys understanding, influences senior executives, garners
support for recommendations, drives business decisions, and
influences business strategy. Provides subject matter expertise in
operationalizing recommendations. Researches and pursues the latest
and/or industry leading practices in data and analytics, (Ex:
Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT,
Streaming/NRT data) to advance the overall DSA community knowledge.
Identifies opportunities to continue to learn in the data and
analytics space, whether informal (E.g., Coursera, Udemy, Kaggle,
Code Up, etc) or formal (E.g. Certifications or advanced
coursework).). Innovates to create new and emerging data sets, and
incorporation (data wrangling, data munging) into new insights
Minimum Requirements: Minimum Education: 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 quantitative
discipline is required; OR 4 years of related statistics,
mathematics or quantitative analytics or related experience (in
addition to the minimum years of experience required) may be
substituted in lieu of degree. (Total of 12 years without degree)
Minimum Experience: 8 years of data & analytics experience; OR 6
years of data & analytics experience and up to 2 years of
progressive functional business relevant experience within the
respective industry of responsibility (Life Insurance Industry) for
a total of 8 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 6 years of experience in data/analytics or
functional business experience within the respective industry of
responsibility (Life Insurance Industry). 3 years of direct and/or
indirect management experience. Demonstrates expert skills in
mathematical and statistical techniques and approaches used to
drive fact-based decision-making. Expert knowledge of data analysis
tools, data visualization, developing analysis queries and
procedures in SQL, SAS, BI tools or other analysis software, and
relevant industry data & methods and ability to connect external
insights to business problems. Preferred Experience: US military
service or a military spouse 3 or more years of Marketing
segmentation experience Working knowledge of Life Insurance,
Annuity or Health products and services 2 or more years of working
experience with Python or R 2 or more years of applied Machine
Learning working experience Ability to lead cross functional teams
Strong communication skills and ability to speak to executive
leadership 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 position. The salary range for this position
is: $106,800 --- $192,300 . Employees may be eligible for pay
incentives based on overall corporate and individual performance or
at the discretion of the USAA Board of Directors. Geographical
Differential : Geographic pay differential is additional pay
provided to eligible employees working in locations where market
pay levels are above the national average. Shift premium will be
addressed on an individual basis for applicable roles that are
consistently scheduled for non-core hours. 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. Please click on the link below for more details. USAA Total
Rewards Relocation assistance is NOT available for this
position.
Keywords: USAA, Tempe , Decision Science Analyst Lead - Life Company (Remote), Professions , Tempe, Arizona
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