Penn Foster
Consultant, Data Solution Analyst | Data Modeler
Penn Foster, Columbus, Ohio, United States, 43224
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!If you are a data modeling expert, have you ever wondered what it would feel like to have an opportunity to redesign the entire data model of a fortune 100 company? At Nationwide, the largest data modernization program Hercules is initiated to literally do that. A rare opportunity to re-imagine the entire insurance data model to enable futuristic BI and advanced analytics capabilities.Hercules program is at the core of IT and Business strategies to modernize all existing data domains, data models, data pipelines, data lakes and data warehouses into a unified data Lakehouse platform. Hercules is expected to enable Nationwide’s digital strategy, improve BI and self-service experience, reduce technology footprint, all while delivering significant ROI.Job Description
We are looking for a passionate, results-oriented Senior Data Modeler that will design and develop the logical and physical data-models for Hercules Data Domains. You will build taxonomy across all Property & Casualty (P&C) lines of businesses, including Personal Lines and Commercial Lines, all data domains including quote, policy, claim, sales, activity, assessment, party, telematics and more.Key Responsibilities:
Define and govern data modeling and design standards, tools, principles, best practices and related development methodologies for all insurance data domains.Build logical and physical data models to support storage of vast array of insurance products, claims and enable variety of BI and analytics use cases.Be the bridge between near real-time data pipeline development teams working with spark streaming and business data governance teams standardizing the future state data terminology.Engage with other teams across Nationwide to understand and translate business needs into data models supporting long-term solutions.Work closely with solution architecture teams to implement data strategies and build conceptual data models.Interact with project sponsors, project managers, multiple development teams to define and deliver logical and physical data models for the Hercules data domains.Basic Qualifications:
10 years of Proven work experience in data modeling related projects as a data modeler.Ability to understand data relationships and can design data models that reflect these relationships and facilitate efficient ingestion, processing and consumption of insurance data domains.Excellent problem solving, communication and negotiation skills to be able to explain the benefits of the future state data model and gain alignment among multiple stakeholders.Experience gathering business requirements, understanding and translating business needs into data models, creating logical and physical data models using best practices to ensure high data quality and reduced redundancy of the domain information.Bachelor's degree in computer science, information technology or similar degree.Preferred Qualifications:
Significant work experience in insurance industry as a data modeler.Experience taking a lead role in architecting, designing and setting standards for data-models.Knowledge and experience working with structured data sourced from relational data models and the ability to model unstructured and semi-structured data.Experience defining semantic layers to support BI and advanced analytics use cases.Experience to be able to identify and communicate the use cases where generalized modeling is mandatory to future proof the solution and impacts of not doing so.Compensation Grade:
G5Job Conditions:
Overtime Eligibility: Exempt (Not Eligible)Working Conditions: Normal office environment.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, 401(k) with company match, company-paid pension plan, business casual attire, and more.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.
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We are looking for a passionate, results-oriented Senior Data Modeler that will design and develop the logical and physical data-models for Hercules Data Domains. You will build taxonomy across all Property & Casualty (P&C) lines of businesses, including Personal Lines and Commercial Lines, all data domains including quote, policy, claim, sales, activity, assessment, party, telematics and more.Key Responsibilities:
Define and govern data modeling and design standards, tools, principles, best practices and related development methodologies for all insurance data domains.Build logical and physical data models to support storage of vast array of insurance products, claims and enable variety of BI and analytics use cases.Be the bridge between near real-time data pipeline development teams working with spark streaming and business data governance teams standardizing the future state data terminology.Engage with other teams across Nationwide to understand and translate business needs into data models supporting long-term solutions.Work closely with solution architecture teams to implement data strategies and build conceptual data models.Interact with project sponsors, project managers, multiple development teams to define and deliver logical and physical data models for the Hercules data domains.Basic Qualifications:
10 years of Proven work experience in data modeling related projects as a data modeler.Ability to understand data relationships and can design data models that reflect these relationships and facilitate efficient ingestion, processing and consumption of insurance data domains.Excellent problem solving, communication and negotiation skills to be able to explain the benefits of the future state data model and gain alignment among multiple stakeholders.Experience gathering business requirements, understanding and translating business needs into data models, creating logical and physical data models using best practices to ensure high data quality and reduced redundancy of the domain information.Bachelor's degree in computer science, information technology or similar degree.Preferred Qualifications:
Significant work experience in insurance industry as a data modeler.Experience taking a lead role in architecting, designing and setting standards for data-models.Knowledge and experience working with structured data sourced from relational data models and the ability to model unstructured and semi-structured data.Experience defining semantic layers to support BI and advanced analytics use cases.Experience to be able to identify and communicate the use cases where generalized modeling is mandatory to future proof the solution and impacts of not doing so.Compensation Grade:
G5Job Conditions:
Overtime Eligibility: Exempt (Not Eligible)Working Conditions: Normal office environment.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, 401(k) with company match, company-paid pension plan, business casual attire, and more.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.
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