Nationwide · 8 hours ago
Specialist, Data Solution Analyst
Scottsdale, AZ
Full-time
Onsite
Mid Level
$96K/yr - $178K/yr
3+ years expNationwide is a Fortune 100 company focused on driving innovation and adopting new technologies to deliver business results. The Specialist, Data Solution Analyst role involves evolving the Pet Data Warehouse into a scalable platform, supporting enterprise-wide transformation through data analytics and solutions.
BankingFinancial ServicesInsuranceLife Insurance
No H1B
Responsibilities
Provides basic to moderate technical consultation on data product projects by analyzing end to end data product requirements and existing business processes to lead in the design, development and implementation of data products
Produces data building blocks, data models, and data flows for varying client demands such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research & exploration
Applies secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities
Translates business data stories into a technical story breakdown structure and work estimate so value and fit for a schedule or sprint is determined
Creates simple to moderate business user access methods to structured and unstructured data by such techniques such as mapping data to a common data model, NLP, transforming data as necessary to satisfy business rules, AI, statistical computations and validation of data content
Assists the enterprise DevSecOps team and other internal organizations on CI/CD best practices experience using JIRA, Jenkins, Confluence etc
Implements production processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it
Develops and maintains scalable data pipelines for both streaming and batch requirements and builds out new API integrations to support continuing increases in data volume and complexity
Writes and performs data unit/integration tests for data quality With input from a business requirements/story, creates and executes testing data and scripts to validate that quality and completeness criteria are satisfied. Can create automated testing programs and data that are re-usable for future code changes
Practices code management and integration with engineering Git principle and practice repositories
Qualification
Required
Expert in SQL and knowledge of Python - advanced querying, data manipulation, and analysis
Experience with visualization tools: Tableau, Power BI
Experience with statistical analysis: A/B testing, regression, clustering
Experience with cloud and big data technologies: Snowflake, Oracle, Databricks
Knowledge of data governance, including privacy laws (GDPR, CCPA) and data security
Experience with data modeling, including data profiling mapping and modeling tools - conceptual/logical/physical models, normalization
Experience with relational database systems (PostgreSQL)
Experience with ETL/ELT tools: Informatica, Talend
Experience with modeling tools: Erwin
Knowledge of system design, including APIs, integration, scalability
Ability to extend existing data model per enhancement requirements
Ability to lead requirements elicitation sessions and elicit reporting and analytic requirements from business and technology requestors to generate visualization or analysis
Experience with insurance domain data
Strong communication skills for explaining insights to non-technical stakeholders
Business acumen to align data work with strategic goals
Problem-solving skills to identify patterns and propose solutions
Collaboration skills for working across teams (engineering, product, execs)
Adaptability to keep up with evolving tools and trends
Undergraduate studies in computer science, management information systems, business, statistics, math, a related field or comparable experience and education strongly preferred
Three to five years of relevant experience with data quality rules, data management organization/standards, practices and software development
Experience in data warehousing, statistical analysis, data models, and queries
One to three years' experience with cloud technology and infrastructure including security and access management
Moderate to advanced skills with modern programming and scripting languages (e.g., SQL, R, Python, Spark, UNIX Shell scripting, Perl, or Ruby)
Good problem solving, oral and written communication skills
Preferred
Graduate studies in business, statistics, math, computer science or a related field are a plus
Certifications are not required but encouraged
Experience in the insurance/financial services industry
Benefits
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
Company
Nationwide
Nationwide, a Fortune 100 company based in Columbus, Ohio, is one of the largest and strongest diversified insurance and financial services organizations in the United States.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Jim Grafmeyer
VP, Chief Enterprise Architect
Tony Fenton
Vice President Commercial Lines Underwriting & Product - Commercial, E&S and Specialty
Recent News
2025-11-24
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2025-09-27
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