Senior Decision Science Analyst
Company: USAA
Location: Woodland Park
Posted on: August 7, 2022
Job Description:
Purpose of Job We are seeking a talented Senior Decision Science
Analyst to work in one of our regional office locations. This
person may also work remotely in a remote work environment.
USAA values a culture that is highly collaborative, and we have
found that a hybrid work type helps employees gain the best of both
worlds - collaborating in-person in the office and working from
home when needed to achieve focused results. The actual days'
onsite are resolved between each employee and the employee s
manager.
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 About USAA
USAA knows what it means to serve. We facilitate the financial
security of millions of U.S. military members and their families.
This singular mission requires a dedication to innovative thinking
at every level. About USAA IT Our most meaningful qualification
isn't technical, it's human. Here, we don't just sit in front of a
screen. We stand behind our 13 million members who rely on us every
day. We're proud of USAA's strong history -- and we're even more
passionate about our future. That's why we have a team of
supportive and collaborative hardworking technology professionals
focused on doing more for our members. And why we're continuing to
add innovative problem solvers to our team. With us, you'll find
exciting challenges that inspire you to continue learning and
growing. 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 advanced business, analytical and technical knowledge
to participate or 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 medium to large scale with significant
impact to current and/or future business strategy.
- Applies innovative and scientific/quantitative analytical
approaches to draw conclusions and make 'insight to action'
recommendations to answer the business objective and drive the
appropriate change
- Translates recommendation into communication materials to
effectively present to various 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.
- Understands and adopts emerging technology that can affect the
application of scientific methodologies and/or quantitative
analytical approaches to problem resolutions.
- Succinctly delivers analysis/findings in a manner that conveys
understanding, influences various levels of management, garners
support for recommendations, drives business decisions, and
influences business strategy.
- Provides subject matter expertise in operationalizing
recommendations.
- Remains informed on current data and analytics trends, (Ex:
Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT,
Streaming/NRT data)
- 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). Minimum 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 quantitative 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 ORa 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 experienceOR 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.).
- Demonstrates advanced skills in mathematical and statistical
techniques and approaches used to drive fact-based
decision-making.
- Advanced 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.
- Experience with new and emerging data sets, and incorporation
(data wrangling, data munging) into new insights. When you apply
for this position, you will be required to answer some initial
questions. This will take approximately 5 minutes. Once you begin
the questions you will not be able to finish them at a later time
and you will not be able to change your responses. Preferred
experience:
- Utilize Tableau or other visualization platforms to aggregate
data from various sources for report automation and dynamic
visualization
- Experience with SAS/R/Python and various ML algorithms for
advanced data analytics to solve complex business problems and
influence strategic decision-making
- Ability to develop presentations and communicate complex
analyses, techniques employed, and findings to technical and
non-technical business partners and executives
- Comfortable working with ambiguous business requirements,
disparate data and data sources, and directional changes to meet
the demands of the business
- Experience working in a matrixed environment and collaborating
with multi-disciplined cross-functional teams developing
large-scale reporting products and analysis 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. Compensation: USAA has an effective method 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 skill is:
$97,200 - $175,000 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, Denver , Senior Decision Science Analyst, Accounting, Auditing , Woodland Park, Colorado
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