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Consultant, Analytic Engineering (Claims)

Ohio-Work from Home-1

If you’re passionate about helping people protect what matters most to them, as well as innovating and simplifying processes and operations to provide the best customer value, then Nationwide’s Property and Casualty 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.

Are you passionate about data and analytics, and have a desire to see a product through from inception to deployment with hands-on development? We want to hear from you!

This role will focus on supporting the PL Claims Organization from an engineering and analytics perspective, with duties to assist our business partners' cloud and data needs as required.

Your job will be to engage with PL Claims partners, discover data needs, build, test and deploy data and analytic solutions. Examples of duties include:

  • Procure and develop datasets directly enabling Claims Analytics and Claims Operation with actionable data and alerts to aid data-driven decisioning
  • Support data management foundation for Claims Analytics through Unity Catalog, UAC scheduling, Databricks ecosystem, storage provisioning (S3)
  • Creating single page applications and microservices deployed in Kubernetes; potential to assist with AWS Cloud solutions
  • Guide key foundational projects to feed into our data strategy efficiently and effectively with understanding how it impacts Personal Lines
  • Represent PL business goals and outcomes in P&C enterprise level discussions
  • Provide consultation on vendor product evaluations, fundamental understanding of regulatory impacts on existing models

The broader PL Advanced Analytics and Data Enablement team exists to connect PL business with AI and data solutions to drive business outcomes. Data Enablement brings the tools, shares the knowledge and delivers usable data sets to partners in Claims Analytics, PL Business Insights, QA, Pricing, Product, Underwriting and ECRM.

Compensation Grade: G5 Payband
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Job Description Summary

Do you have the desire to play a critical role in driving data-based business outcomes? At Nationwide, our Analytic professionals are responsible for modeling complex problems, discovering insights and identifying business opportunities using scientific research methods, statistics, machine learning and data visualization techniques. They participate in all phases of the analytic lifecycle, from research design, data collection and data processing to model building, deployment and presentation of results.

Our industry-leading workforce uses an agile work environment and a collaborative culture to deliver outstanding solutions and results. If that sounds like something you aspire to, we want to know more about you!

As a Consultant, you'll synthesize data architecture and data transformation skills to identify areas for process simplification and data integration opportunities, providing recommendations and solutions to the project team.

Job Description

Key Responsibilities:

  • Understands data produced by business processes and can relate that specialized knowledge to solving business problems using analytic techniques. Identifies solution opportunities for enhancement of analytic data to support advanced analytics across the organization.

  • Plans and manages execution of work, participates in planning and delivers on commitments. Participates in the development of scope, risk/control matrix, project timelines, and assignments. Work may span more than one project or focus area.

  • Collaborates with leadership to develop analytic strategies for the business unit. Consults with business partners to understand, align and deliver analytic work

  • Builds applications that align to business needs and support objectives using statistical, database and/or general programming languages and tools.

  • Reviews analytic products and provides feedback and coaching to project team associates.

  • Builds and maintains relationships and serves as a trusted business advisor to clients, internal risk partners and other business partners. Creates partnerships across the enterprise to enhance organizational analytics capabilities. 

  • Contributes to the continuous improvement of department processes through ongoing initiatives. 

  • Designs and develops data sets. Understands how to create analytical data sets to meet the needs of scientists and researchers who are building statistical or machine learning models.

  • Explores existing and new data sources to evaluate the value of that data for future analytic efforts and prototype analytic data solutions. Successful exploratory work results in requirements for enhancement in both operational and analytic environments.

  • Crafts, builds, packages and communicates analytic work (synthesis) using appropriate statistical techniques to determine patterns to drive business outcomes and trends. 

  • Understands and uses standards for implementation of analytic data asset builds into the Model Factory and knowledge of statistical techniques and advanced machine learning algorithms.

May perform other responsibilities as assigned.

Reporting Relationships: Reports to Director, Analytic Engineering. This is an individual contributor role.

Typical Skills and Experience: 


Education: Undergraduate studies required in computer science, mathematics, analytic, data science, and related degrees. Specialization in data and analytics preferred; SQL skills may be required. Master's degree is a plus.

License/Certification/Designation: None required

Experience: More than four years of demonstrated experience in role responsibilities.

Knowledge, Abilities and Skills: Proven expertise (increasing with the level) is expected for query languages such as SQL, database architecture and data warehousing, reporting tools (e.g., Tableau), requirements development, cloud computing, UNIX/Linux terminal and/or shell scripting experience. Programming languages such as Python, R, SAS, RESTful API’s and endpoint, Spark or other distributed computing platforms, machine learning experience, data modeling and mining a plus. Experience in the financial services industry, especially in insurance, is desired. Enterprise data assets is desired. 

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.

We currently anticipate accepting applications until 11/08/2024. However, we encourage early submissions, as the posting may close sooner if a strong candidate slate is identified before the deadline.

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.

This position could be filled within any of the lower 48 U.S. states.

Smoke-Free Iowa Statement: Nationwide Mutual Insurance Company, its affiliates and subsidiaries comply with the Iowa Smokefree Air Act. Smoking is prohibited in all enclosed areas on or around company premises as well as company issued vehicles. The company offers designated smoking areas in which smoking is permitted at each individual location. The Act prohibits retaliation for reporting complaints or violations. For more information on the Iowa Smokefree Air Act, individuals may contact the Smokefree Air Act Helpline at 888-944-2247.


For NY residents please review the following state law information: Notice of Employee Rights, Protections, and Obligations LS740 (ny.gov) https://dol.ny.gov/system/files/documents/2022/02/ls740_1.pdf

Nationwide pays on a geographic-specific salary structure and placement within the actual starting salary range for this position will be determined by a number of factors including the skills, education, training, credentials and experience of the candidate; the scope, complexity and location of the role as well as the cost of labor in the market; and other conditions of employment. If a Sales job, Sales Incentives, based on performance goals are possible in addition to this range.

The national salary range for Consultant, Analytic Engineering : $101,000.00-$209,000.00

The expected starting salary range for Consultant, Analytic Engineering : $112,000.00 - $168,000.00

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Job Profile

Regions

North America

Countries

United States

Restrictions

Work from Home

Benefits/Perks

Agile environment Agile work environment Collaborative culture Company-paid Pension plan Dental Holidays Life Insurance Medical Normal office environment Overtime eligibility Paid holidays Paid Time Off Pension plan Short and long term disability coverage Vision Work From Home

Tasks
  • Build and deploy data solutions
  • Consult on vendor evaluations
  • Engage with partners
  • Modeling
  • Pricing
  • Providing recommendations
  • Support claims organization
  • Training
  • Underwriting
Skills

Advanced Analytics Agile Agile methodologies Analytical Analytics Architecture AWS Business C Claims Cloud Computing Cloud solutions Coaching Consultation Continuous Improvement Data & Analytics Data Architecture Databricks Data Management Data Modeling Data Science Data Transformation Data Visualization Data Warehousing Education Financial Services Implementation Insurance Kubernetes Leadership Life Insurance Linux Machine Learning Mathematics Modeling Organization Organizational Partnerships Personal Lines Planning Presentation Python R Reporting Research Sales SAS SQL Statistical techniques Statistics Strategy Tableau Training Underwriting

Experience

3 years

Education

Business Computer Science Engineering Insurance Mathematics Statistics Undergraduate Undergraduate Studies

Certifications

Agile

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9