Consultant, Data Designer (Customer Solutions)

Nationwide Mutual Insurance•Columbus, OH

4d•Hybrid

About The Position

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! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care. This role will work a hybrid schedule coming into the Columbus, Ohio office 2 days per week on Mondays & Tuesdays. Position Overview This position will report to the Manager, Customer Solutions for the Customer Interaction and Journey Management team. The Data Designer is a key member of a high-performing team responsible for curating customer interaction data across all enterprise touchpoints. This work enables a comprehensive operational view of how customers engage with Nationwide and their preferences for doing business. 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.

Requirements

Experience in data design , ETL development , and data modeling
Strong understanding of customer interaction data and journey analytics.
Proficiency in tools such as SQL, Informatica, Talend, or other ETL platforms.
Ability to translate business needs into clear technical specifications.
Excellent communication and collaboration skills.
Five to eight years of relevant experience with data quality rules, data management organization/standards or practices.
Experience in statistical analysis, interpreting results in determining data quality and fitness.
Wide experience using data quality results to determine whether existing sources of data are enough for business needs.
Experience with recommending alternate data sources and data modeling.
Undergraduate studies in computer science, management information systems, business, statistics, math, a related field or comparable experience and education strongly preferred.

Nice To Haves

Familiarity with cloud data platforms (e.g., Snowflake, Azure, AWS) is preferred.
Knowledge of journey mapping methodologies and customer experience frameworks.
Experience working in Agile environments
Experience with event streaming technologies such as Kafka , Confluent , or Azure Event Hubs
Exposure to data visualization tools (e.g., Tableau, Power BI) is a plus.
Graduate studies in business, statistics, math, computer science or a related field are a plus.
Insurance/financial services industry knowledge a plus.

Responsibilities

Develop data mappings , source-to-target ETL specifications , and define functional and non-functional data requirements
Support journey contextualization and customer profiling to enhance analytics and experience design.
Create and maintain detailed data documentation , including data dictionaries, process flows, and system specifications.
Collaborate with business teams across the enterprise to develop journey maps that inform customer experience strategies.
Interface with a wide range of data channels including web, mobile, email, text, and IVR, across cloud, analytic, and operational platforms.
Communicate data requirements and technical solutions clearly to development teams and stakeholders.
Design data solutions that are scalable , performant , and aligned with enterprise architecture standards.
Evaluates information from multiple sources, provides recommendations, reconciles conflicts, cleans data into a consumable format and classifies the information into logical categories.
Uses moderate to complex visualization techniques and skills to present findings of data exploration exercises.
Maps the flow of data and the business processes and/or technical interfaces which would be created or impacted and recommends solutions/adaptations.
Responsible for applying secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.
Documents the source to target mappings for data integration and web services.
Ensures alignment 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.
Works with enterprise partners to conduct complex data profiling using standardized tools.
Key contributor 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.
Performs data modeling across a variety of DBMS platforms and is capable of tuning the model for desired performance characteristics based on those specific technology platforms.
Proactively consults and provides recommendations and direction on data needs.
Manages data, performs analyses, interprets results, and provides insights and recommendations to internal clients
Creates thematic maps, reports, charts, tables, and other analytic visualization to support business needs
Ensures compliance with the Enterprise Data Governance policy and standards on information risk and data protection guidelines.
Recommends and executes changes in data analytics; including methodologies, practices, and tools.
May perform other responsibilities as assigned.

Benefits

medical/dental/vision
life insurance
short and long term disability coverage
paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date
nine paid holidays
8 hours of Lifetime paid time off
8 hours of Unity Day paid time off
401(k) with company match
company-paid pension plan
business casual attire