Specialist, Data Analytics (IT Audit)

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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!

As a member of the Data Analytics team in Internal Audit you will be responsible for driving analytics throughout the audit team. This includes introducing and training business auditors to the world of data and analytics as well as demonstrating how analytics can be used to evaluate risks across the organization.

We are seeking independent, self-guided problem solvers who have extensive experience thinking and working with data. Candidates should have a strong analytical foundation and be comfortable with exploratory and applied statistical analysis that results in novel analytic solutions that can be utilized.

Compensation Grade: F4

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:

• Elicits reporting and analytic requirements from business and technology requestors to generate visualization or analysis.
• Supports implementation of data requirements and practices for an assigned area.
• Under supervision creates and executes standard visualization techniques.
• Uses 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.
• Works on profiling, mapping, and modeling tools.
• With guidance may partner with others on projects requiring data visualization.

May perform other responsibilities as assigned.

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: Two to five years of relevant experience with data management/ organization/ analytics or practices. Experience in with data visualization tools, reporting and 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. Good oral and written communication skills.

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.

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.