As a team member in the Finance and Internal Audit department
at Nationwide, the opportunities are endless! You can grow and
learn in diverse areas across many disciplines such as Advanced
Analytics, Investments, Actuarial, Accounting, Risk Management,
Critical Business Advisor and so much more. Let Nationwide help
create your career journey!
* This position has flexibility with being staffed at either the
Consultant (G band level), or Specialist (F band level)
Job Description Summary
Do you have the desire to play a critical role in driving
data-based business outcomes? At Nationwide, our Analytic
professionals are responsible for modeling complex problems,
discovering insights and identifying business opportunities using
scientific research methods, statistics, machine learning and data
visualization techniques. They participate in all phases of the
analytic lifecycle, from research design, data collection and data
processing to model building, deployment and presentation of
Our industry-leading workforce uses an agile work environment
and a collaborative culture to deliver outstanding solutions and
results. If that sounds like something you aspire to, we want to
know more about you!
As a Consultant, you'll synthesize data architecture and data
transformation skills to identify areas for process simplification
and data integration opportunities, providing recommendations and
solutions to the project team.
* Understands data produced by business processes and can relate
that specialized knowledge to solving business problems using
analytic techniques. Identifies solution opportunities for
enhancement of analytic data to support advanced analytics across
the organization. * Plans and manages execution of work,
participates in planning and delivers on commitments. Participates
in the development of scope, risk/control matrix, project
timelines, and assignments. Work may span more than one project or
focus area. * Collaborates with leadership to develop analytic
strategies for the business unit. Consults with business partners
to understand, align and deliver analytic work * Builds
applications that align to business needs and support objectives
using statistical, database and/or general programming languages
and tools. * Reviews analytic products and provides feedback and
coaching to project team associates. * Builds and maintains
relationships and serves as a trusted business advisor to clients,
internal risk partners and other business partners. Creates
partnerships across the enterprise to enhance organizational
analytics capabilities. * Contributes to the continuous improvement
of department processes through ongoing initiatives. * Designs and
develops data sets. Understands how to create analytical data sets
to meet the needs of scientists and researchers who are building
statistical or machine learning models. * Explores existing and new
data sources to evaluate the value of that data for future analytic
efforts and prototype analytic data solutions. Successful
exploratory work results in requirements for enhancement in both
operational and analytic environments. * Crafts, builds, packages
and communicates analytic work (synthesis) using appropriate
statistical techniques to determine patterns to drive business
outcomes and trends. * Understands and uses standards for
implementation of analytic data asset builds into the Model Factory
and knowledge of statistical techniques and advanced machine
May perform other responsibilities as assigned.
Reporting Relationships: Reports to Director, Analytic
Engineering. This is an individual contributor role.
Typical Skills and Experience:
Education: Undergraduate studies required in computer science,
mathematics, analytic, data science, and related degrees.
Specialization in data and analytics preferred; SQL skills may be
required. Master's degree is a plus.
License/Certification/Designation: None required
Experience: More than four years of demonstrated experience in
Knowledge, Skills and Abilities: Proven expertise (increasing
with the level) is expected for query languages such as SQL,
database architecture and data warehousing, reporting tools (e.g.,
Tableau), requirements development, cloud computing, UNIX/Linux
terminal and/or shell scripting experience. Programming languages
such as Python, R, SAS, RESTful API's and endpoint, Spark or other
distributed computing platforms, machine learning experience, data
modeling and mining a plus. Experience in the financial services
industry, especially in insurance, is desired. Enterprise data
assets is desired.
Other criteria, including leadership skills, competencies and
experiences may take precedence.
Staffing exceptions to the above must be approved by the hiring
manager's leader and Human Resources Business Partner.
Values: Regularly and consistently demonstrates the Nationwide
Values and Guiding Behaviors.
Overtime Eligibility: Exempt (Not Eligible)
Working Conditions: Normal office environment
ADA: The above statements cover what are generally believed to
be principal and essential functions of this job. Specific
circumstances may allow or require some people assigned to the job
to perform a somewhat different combination of duties.