Decision Science Analyst I - Bank Digital Tagging and Analytics
Company: USAA
Location: Phoenix
Posted on: May 2, 2024
Job 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!
As a dedicated Decision Science Analyst I, you will 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 inspire 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.
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, or Charlotte, NC.
Relocation assistance is not available for this position.
This position can work remotely in the continental U.S. with
occasional business travel.The OpportunityThe goal of the Bank
Digital Tagging and Analytics program is to improve customer
engagement, experiences for product acquisitions and servicing,
customer representative servicing, fraud detection, and regulatory
compliance by driving and enabling tagging and analytics in our
digital channels including mobile, web, and customer servicing
portal. This role requires understanding and experience with
tagging lifecycle, analysis & design, management, standards and
procedures, implementation, testing and validation, quality
assurance, and governance enabled via Tealium and Adobe
Analytics.You will join a team of dedicated Digital Tagging and
Data Products Analysts to collaborate, design, deliver, consult,
and advise on tagging strategy, solutions, and capabilities across
various partners and team members in the Bank, Data and Analytics
community, and Enterprise organizations. Demonstrating and
continuously improving upon KPI and measurement-driven approaches
will encompass digital properties and experience interaction and
behavioral analysis, tagging design which will lead to
comprehensive data collection, key events that should be captured
across the experience flow and funnel, ensuring data accuracy and
integrity, and overall compliance to standards. Tagging analytics
will include customer engagement behavior, experience engagement
metrics and trends, conversion optimization, abandonment tracking
and reduction, friction and exception insights, cross-channel
switching, and a variety of other complimentary analytics
experience performance management by utilizing tools as Adobe
Analytics Workspace, Glassbox, and custom querying and analysis of
these assets on our Data Cloud Snowflake platform. Collaboration
and communication with experience owners, channel application IT,
and other cross-functional teams is crucial for planning, tracking,
and delivering foundational tagging data assets and derived
omnichannel experience data and metrics. Additionally, this role
will provide strategic mentorship to management, ensure data
governance and compliance, manages partners, demonstrate strong and
evolving business insight, has excellent communication skills, and
stays updated with industry trends and standard methodologies.What
you'll do:
- Demonstrates intermediate and some sophisticated business,
analytical and technical knowledge to participate in discussions
with cross functional teams to understand and collaborate on
business objectives and influence solution strategies.
- Applies sophisticated analytical techniques to solve business
problems that are typically medium to large scale with 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 colleagues for peer review and
mid-to-upper-level 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.
- Delivers analysis/findings in a manner that conveys
understanding, influences mid to upper-level management, garners
support for recommendations, drives business decisions, and
influences business strategy.
- 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 quantitative subject area; 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.
- 4 years of experience in data/analytics or functional business
experience within the respective industry of responsibility (i.e.
P&C, Bank, Finance) or an 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 subject area
with 2 years' experience in data/analytics or functional business
experience within the respective industry of responsibility (i.e.
P&C, Bank, Finance).
- Demonstrates proficiency in mathematical and statistical
techniques and approaches used to drive fact-based
decision-making.
- Intermediate and some sophisticated 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.What sets you apart:
- US military experience through military service or a military
spouse/domestic partner
- Demonstrated strong experience and business insight in tagging
lifecycle management, tagging analysis and design, and
implementation for Banking experiences.
- Performed diagnostic and descriptive performance analytics,
visualization, and actionable insights' narrative on customer
engagement behavior, experience engagement metrics and trends,
conversion optimization, abandonment tracking and reduction,
friction and exception insights, and cross-channel switching
demonstrating tools as Adobe Analytics Workspace and Glassbox.
- Experience developing and/or applying data discovery and
analysis frameworks and tools such as SQL and Python to address
challenges and gaps in tagging data and metadata.
- Applied statistical techniques to identify trends, patterns,
anomalies, and correlations within channel and cross-channel
data.
- Professional experience researching, demoing, and proving
innovation thinking with Proof of Concepts, and eventual products
that can materially impact data automation, data quality, data
models, data stitching, and data consumption.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: $89,990 - $161,990.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 USAAjobs.com.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.
Keywords: USAA, Surprise , Decision Science Analyst I - Bank Digital Tagging and Analytics, Professions , Phoenix, Arizona
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