Consultant, Data Analyst

About the role

Data Designer needed to gather and analyze business/data requirements for GW ClaimCenter and PolicyCenter. Implement Guidewire ClaimCenter and PolicyCenter for Commercial LOBs. Perform source to target data mapping for various PolicyCenter third party integrations and to the downstream applications which includes data cleaning and transformation rules. Engage in extensive data validation by writing several complex SQL queries and work with data quality issues. Assist database modelers in preparing the logical and physical data model and perform data mapping and logical data modeling. Create class diagrams and Entity Relationship diagrams and use SQL queries to filter data within the oracle database. Translate business and data requirements into data models in support of Enterprise Data Models, Data Warehouse and Analytical systems. Develop best practices, standards, and methodologies to assist in the implementation and execution of Data Governance. Bachelor’s degree in Computer Science or Computer Information Systems and 5 years of experience performing the duties listed above.

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Job Description Summary

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.

• Serves as a key contributor in the creation or review of 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 acquisition, analysis, interpretation, and provides insights and recommendations to internal clients.

• Creates thematic maps, reports, charts, tables, and other analytic visualizations 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 Management.

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:  Six to eight years of relevant experience with data quality rules, data management organization/standards or practices. Experience in statistical analysis, interpreting results to determine 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 and communication skills. Ability to influence, negotiate, and set priorities as 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: Hybrid to 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.

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