Consultant, Data Designer

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 will be a hybrid role coming into the Columbus, Ohio office 2 days per week.

The Data Modeler/Data Analyst Lead will be responsible for designing, developing, and maintaining data models and analytical solutions for our Annuity Data Platform. This role requires a deep understanding of data modeling, data mappings and data analysis. The ideal candidate will have a strong background in financial services, particularly in the annuities domain, and a passion for leveraging data to drive business insights and decisions.

Key Responsibilities:

- Collaborate with stakeholders to understand business requirements and translate them into data models and analytical solutions.
- Develop and maintain data models, source to target data mappings.
- Ensure data quality and integrity by implementing data governance and validation processes.
- Perform data analysis to identify trends, patterns, and insights that support business objectives.
- Mentor and guide junior data modelers and analysts
- Work closely with data engineers to ensure seamless integration of data models into the data platform.
- Stay up to date with industry trends and best practices in data modeling and analysis.

Qualifications:
- Strong knowledge of data modeling techniques and tools (ERwin, ER modeling, Dimensional modeling).
- Proficiency in SQL and experience with data querying and manipulation.
- Proven ability to lead and mentor a team of data professionals.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills, with the ability to work effectively with cross-functional teams.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Experience in the financial services industry, particularly in annuities, is highly desirable.

Compensation Grade: G5

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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:

• 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.

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 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. Insurance/financial services industry knowledge a plus.

Knowledge, Abilities and Skills: Data application and practices knowledge. Solid decision making, oral and written communication skills. Ability to influence, negotiate and set priorities needed.

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.

Benefits

We have an array of benefits to fit your needs, including: 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, and more. To learn more about the benefits we offer, click here.

Nationwide is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive culture where everyone feels challenged, appreciated, respected and engaged. Nationwide prohibits discrimination and harassment and affords equal employment opportunities to employees and applicants without regard to any characteristic (or classification) protected by applicable law.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.