Investment Professional, Data Analyst

Nationwide’s industry leading workforce is passionate about creating data and business intelligence solutions that are secure, reliable, accessible, 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 an Investment Data Management professional, you will serve as the primary liaison between the business and Technology, developing and driving data and analytic strategies and solutions to deliver prioritized business capabilities. You will be responsible for creating and maintaining the vision for the data ecosystem, with focus on improving efficiency, effectiveness, and quality of data-driven business processes and decisions. Your role provides business-minded thought leadership throughout all phases of data development, including intake, work initiation, requirement gathering and iteration planning and project estimations.

You will serve as the data-related voice of the customer in translating functional data and analytic requirements into solutions for consumption and use by the respective business area, managing communications between Technology and business, resolving blockers/questions/support needs, conducting/coordinating User Acceptance Testing (UAT) and approving releases. You will evaluate potential data impacts, coordinate with stakeholders, and serve as steward for data governance, access rights/audits and defect resolution.

• Identifies, executes, and communicates data strategy opportunities, defining long-term goals and key performance indicators to further a data-driven culture in support of business priorities.
• Consults and provides direction on acquisition, curation, and consumption of data for analytical and operational uses, producing data source documentation and assisting with development and maintenance of reference data and mastering rules to ensure a single version of the truth across all data consumers.
• Collaborates on mapping the end-to-end flow of data and the business processes and/or technical interfaces which would be created or impacted and recommends solutions/adaptations.
• Develops collaborative relationships with business, Technology, and vendor partners, communicating data impacts and promoting transparency around data issue identification and resolution.
• Prompts data, reporting and analytic requirements from business requestors to generate solutions.
• Participates in planning and execution of UAT, triage issues and works with development team on remediation approach to ensure data integrity.
• Performs data management activities, including classifying information into logical categories, generating data lineage, developing data quality and transformation rules, conducting complex data profiling, implementing data monitoring techniques using standardized tools, reviewing daily exceptions, reloading data, and applying data overrides as necessary.
• Uses moderate to complex visualization techniques and skills to present data in support of business needs.
• Enforces data governance structure, standards, and procedures to ensure data is well-defined, consistent, accurate, accessible, and secure.
• Governs all data access requests and has final right of refusal for accesses.
• Demonstrates knowledge and understanding of investment asset classes, and those data elements most critical to support business processes.
• Integrates emerging data and analytic trends, competitive research, and industry best practices into Nationwide.

May perform other responsibilities as assigned.

Reports to AVP or Data Leader

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.

Certifications are not required but encouraged.

6-10 years of relevant experience with data management organization/standards or practices.…