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 will formally sit on the Internal Audit Data Analytics team, but the candidate will support either the Property & Causality (P&C) team or Nationwide Financial (NF) team. Candidates will be responsible for driving analytics throughout our assurance, advisory and continuous auditing efforts.  This includes (but is not limited to) assisting with data analytics training to auditors, as well as demonstrating how analytics can be utilized to evaluate risks across the organization. We are seeking an independent, self-guided problem solver, who has extensive experience in working with data through all steps of the data analysis process. Candidates should have a strong analytical foundation and have heavy experience working in various Nationwide supported technologies, including (but not limited to) Tableau for data visualization and ACL, Paxata, SQL, R, or Python for data prep and analysis.

　　Job Description Summary

　　Nationwide’s industry leading workforce is passionate about creating data solutions that are secure, reliable and efficient in support of our mission to provide extraordinary care. Nationwide embraces an agile work environment and collaborative culture through the understanding of business processes, relationship entities and requirements using data analysis, quality, visualization, governance, engineering, robotic process automation, and machine learning to produce targeted data solutions. If you have the drive and desire to be part of a future forward data enabled culture, we want to hear from you.

　　As a Data Solution Analyst, you’ll translate functional data and analytic requirements into solutions for consumption and use by the respective business or technology request or leveraging a variety of approved technologies. The technologies include (but are not limited to) Paxata, Tableau, Micro strategy, Business Objects, R, or other reporting and visualization solutions being considered for operationalization. You’ll also have the opportunity to guide others to leverage self-service techniques for business reporting and analytics.

　　Job Description

　　Key Responsibilities: 

　　Prompts reporting and analytic requirements from business and technology requestors to generate visualization or analysis.Implements data requirements, reporting and practices for an assigned area.Creates and executes visualization techniques.Uses moderate visualization and analysis techniques to present findings of data exploration exercises to stakeholders based on requirements gleaned.Maps the flow of data and the business processes and/or technical interfaces which would be created or impacted and recommends solutions/adaptations.Collaborates with others to implement standardized data reporting, analytics, and visualization tools.Recommends and leads change in data analytics, methodologies and tools.Collaborates on profiling, mapping, and modeling tools.Partners with others on projects requiring data visualization.

　　Reporting Relationships: Reports to Manager/Director Data Leader.

　　Typical Skills and Experiences: 

　　Education:  Undergraduate studies in computer science, management information systems, business, statistics, math, a related field or comparable experience and education strongly preferred.  Graduate studies in business, statistics, math, computer science or a related field are a plus.

　　License/Certification/Designation:  Certifications are not required but encouraged.

　　Experience:  Five to eight years of relevant experience with data management/ organization/ analytics or practices. Experience in engaging business leaders, data architects and external consultants to identify and fill gaps in analytics environment. Wide experience in using data modeling and data science tools.  Experience with self-service analytic techniques. Experience in application of data acquisition and data wrangling. Insurance/financial services industry knowledge a plus.

　　Knowledge, Abilities and Skills:  Data application and practices knowledge. Solid oral and written communication skills. Ability to build relationships, facilitate meetings and influence others.

　　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 HR Business Partner.

　　Values:  Regularly and consistently demonstrates the Nationwide Values and Guiding Behaviors.

　　Job Conditions: 

　　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.