If you’re passionate about innovation and love working in an environment where you can constantly improve and adopt new technologies to drive business results, then Nationwide’s Information Technology team could be the place for you!
We are seeking Data Designer in support of managing our Technology Data Integrations.
The role requires strong skills and experience working with Informatica, SQL, Oracle, and Snowflake.
The ideal candidate will have experience working with relational databases, cloud containers on Rancher using Kubernetes, Informatica Intelligent Cloud Services (IICS), as well as using Jenkins to manage job execution. Experience working with Concourse and GitHub for pipeline deployment is considered a plus.
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This position can be filled remote or in office (hybrid work schedule).
Compensation Grade E5
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 Designer you’ll process, organize, structure or present data to make it meaningful for business decision making and to position data-intensive projects/programs for success. You’ll be an integral part of a project, program or team and perform a variety of tasks related to identifying business partners’ analytical needs and obtaining, collecting, organizing and interpreting data. You’ll perform analysis and interpret results, providing insights and recommendations. This may take the form of thematic maps, reports, charts, tables and other analytic visualization.
Job Description
Key Responsibilities:
Under general supervision evaluates information from a few sources, provides recommendations, reconciles conflicts, cleans data into a consumable format and classifies the information into logical categories.
Uses basic visualization techniques and skills to present findings of data exploration exercises.
Helps with mapping the flow of data and the business processes and/or technical interfaces which would be created or impacted. Recommends solutions and adaptations as appropriate.
Documents the source to target mappings for data integration and web services.
Aligns with data quality and transformation rules and develops infrastructure and/or other tools to communicate mapping to relevant groups.
Identifies and documents the sources of existing and new data.
Helps enterprise partners to conduct data profiling using standardized tools.
Obtains and manages data, performs analyses, interprets results, and provides insights and recommendations to internal clients.
Prepares thematic maps, reports, charts, tables, and other analytic visualization to support business needs.
Assists in the creation or reviews conceptual, logical and physical data models and determines the most appropriate method to represent the data for business consumption/use.
Collaborates with project teams to ensure compliance with the Enterprise Data Governance policy and standards on information risk and data protection guidelines.
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 years of relevant experience with data quality rules, data management organization/standards or practices. Experience in statistical analysis in determining data quality and fitness. Experience using data quality results to determine whether existing sources of data are enough for business needs. 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.