Senior Analytic Engineer
Senior Analytic Engineer
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Job Description
It is our intention to fill this role in Columbus Ohio or Scottsdale Arizona. However on occasion applications from internal candidates working remotely who bring critical industry skills and relevant experience may be considered.
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This role does not qualify for employer sponsored work authorization. Nationwide does not participate in the STEM OPT extension program.
We are seeking a talented and solution-oriented Senior Analytic Engineer to join the Enterprise Analytics Office (EAO). In this role you will collaborate closely with data scientists to design build and maintain robust data pipelines that support machine learning models and advanced analytics. Your role will be to transform raw data into reliable well-documented datasets optimized for analysis and modeling.
Key Responsibilities:
Develop and maintain scalable ETL/ELT processes to support data science initiatives
Collaborate with cross-functional teams to understand data requirements and deliver high-quality datasets
Ensure data integrity consistency and compliance with governance standards
Required Qualifications:
Strong experience with ETL/ELT development and data pipeline architecture
Proficiency in SQL and either Python or R
Familiarity with statistical and machine learning concepts
Understanding of data governance principles and best practices
Preferred Qualifications:
Hands-on experience with cloud data platforms such as AWS Databricks or Snowflake
Exposure to DataOps or MLOps methodologies and tools
Experience with generative AI design and implementation
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 Senior Analytic Engineer youll 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. Masters degree is a plus.
License/Certification/Designation: None required
Experience: 6-8 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 APIs 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 managers 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 coveragepaid 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.
NOTE TO EMPLOYMENT AGENCIES:
We value the partnerships we have built with our preferred vendors. Nationwide does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Nationwide employee or hiring manager in any form without a signed Nationwide Client Services Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means.
Required Experience:
Senior IC
Employment Type
Full-Time
