Data Analyst - Mid-level
Location: Rock Hill
Posted on: June 24, 2022
Purpose of JobWe are seeking a talented mid-level Data Analyst
for either our San Antonio Home Office, Plano Campus, Phoenix
Campus, Charlotte Campus, Colorado Springs Campus, Tampa Campus, or
100% Remote Work Environment.
This position will support the Channel Analytics team in the Bank
Business Intelligence & Analytics division. The Channel Analytics
team is dedicated to influence the Bank Omnichannel strategy and
execution by providing best-in-class data driven business decision
making capabilities through advanced data science techniques
(including statistical/ML models), speed-to-market solutions and
super customer experience.
The successful candidate will serve a key role in developing
insights centered around the member and their behavior/preferences
across channels to guide the Bank Omni on proactive acquisition and
servicing strategies. In addition to supporting business
performance management, this role will also be responsible for
development of physical network optimization strategy and member
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 RequirementsAbout
USAAUSAA 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.Primary Responsibilities:
- 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 intermediate and some advanced 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 advanced 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
- Incorporates visualization techniques to support the relevant
points of the analysis and ease the understanding for less
- 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
- 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
- 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.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.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.
- 4 years of experience in data/analytics or functional business
experience within the respective industry of responsibility (i.e.
P&C, Bank, Finance) -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
with 2 years experience in data/analytics or functional business
experience within the respective industry of responsibility (i.e.
P&C, Bank, Finance).
- Demonstrates competency in mathematical and statistical
techniques and approaches used to drive fact-based
- Intermediate and some 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.Preferred Experience:
- Strong data analytics, data mining and data science
- Proven -critical thinking, quantitative and analytical skills.
- Strong programming skills in SAS, Python, ArcGIS, SQL and
proficiency in AWS Snowflake, and Tableau.
- Proficient in machine learning algorithms encompassing
supervised & unsupervised learning techniques. -
- Ability to convey complex analytics in an understandable way to
non-executive and executive levels.
- Demonstrated initiative, inquisitiveness, problem solving,
strong work ethic and focus on delivering superior customer
- Excellent human relations, communication, planning and project
management skills.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 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: $72,900 -
$131,400*(this does not include geographic differential it may be
applied based on your work location).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.Relocation assistance is not available for this
Keywords: USAA, Rock Hill , Data Analyst - Mid-level, Professions , Rock Hill, South Carolina
Didn't find what you're looking for? Search again!