What are the responsibilities and job description for the Sr Analyst, Data Solution Analyst position at Nationwide Mutual Insurance Company?
Job Details
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 role does not qualify for employer-sponsored work authorization. Nationwide does not participate in the Stem OPT Extension program.
This will be a hybrid role coming into the Columbus, Ohio office 2 days per week.
This role is to work on the Annuity Data Platform build out as part of the Annuity Modernization Program.
Qualifications:
Compensation Grade: E5
#LI-AC1
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 Solution Analyst, you'll translate functional data and analytic requirements into solutions for consumption and use by the respective business or technology request or leveraging a variety of approved technologies. The technologies include (but are not limited to) Paxata, Tableau, Micro strategy, Business Objects, R, or other reporting and visualization solutions being considered for operationalization. You'll also have the opportunity to guide others to leverage self-service techniques for business reporting and analytics.
Job Description
Key Responsibilities:
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: One to two years of relevant experience with data management/ organization/ analytics or practices. Experience in with data visualization tools and reporting. Experience in application of data acquisition and data wrangling. Insurance/financial services industry knowledge a plus.
Knowledge, Abilities and Skills: Data application and practices knowledge. Good oral and written communication skills.
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.
This role does not qualify for employer-sponsored work authorization. Nationwide does not participate in the Stem OPT Extension program.
This will be a hybrid role coming into the Columbus, Ohio office 2 days per week.
This role is to work on the Annuity Data Platform build out as part of the Annuity Modernization Program.
- Perform source to target data mappings to ensure data consistency and accuracy.
- Conduct data profiling to understand data quality and identify anomalies.
- Execute data testing to validate data integrity and correctness.
- Collaborate with senior data analysts and other team members to support data-related projects.
- Assist in the development and maintenance of data documentation and metadata.
- Participate in data cleansing and transformation activities.
- Support ad-hoc data analysis requests as needed.
Qualifications:
- Strong analytical and problem-solving skills.
- Proficiency in SQL and experience with data querying.
- Familiarity with data profiling and data quality tools.
- Basic understanding of data warehousing concepts.
- Excellent attention to detail and organizational skills.
- Good communication skills and ability to work in a team environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- Previous internship or project experience in data analysis.
Compensation Grade: E5
#LI-AC1
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 Solution Analyst, you'll translate functional data and analytic requirements into solutions for consumption and use by the respective business or technology request or leveraging a variety of approved technologies. The technologies include (but are not limited to) Paxata, Tableau, Micro strategy, Business Objects, R, or other reporting and visualization solutions being considered for operationalization. You'll also have the opportunity to guide others to leverage self-service techniques for business reporting and analytics.
Job Description
Key Responsibilities:
- Supports implementation of data requirements and practices for an assigned area.
- Under supervision creates and executes standard visualization techniques.
- Applies secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.
- Uses visualization and analysis techniques to present findings of data exploration exercises to stakeholders based on requirements gleaned.
- Collaborates with business partners to implement standardized data reporting, analytics, and visualization tools.
- With guidance may partner with others on projects requiring data visualization.
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: One to two years of relevant experience with data management/ organization/ analytics or practices. Experience in with data visualization tools and reporting. Experience in application of data acquisition and data wrangling. Insurance/financial services industry knowledge a plus.
Knowledge, Abilities and Skills: Data application and practices knowledge. Good oral and written communication skills.
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.
