Specialist Data Solution Analyst
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Job Description
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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.
Skills & Requirements
Core Skills
- Strong SQL skills for querying, validating, and analyzing large datasets
- Experience with Power BI or Tableau for dashboards and reporting
- Ability to perform trend, variance, and root‑cause analysis
- Understanding of data quality checks (completeness, accuracy, reconciliation)
- Familiarity with tools like Alation, Anamalo, Manta or similar data governance/DQ tools
Business & Analytical Skills
- Experience gathering and clarifying business requirements
- Ability to translate business questions into clear metrics and insights
- Strong data storytelling and communication skills
- Comfortable working with both technical and non‑technical stakeholders
Data Platforms
- Experience working with Snowflake, Databricks, or similar cloud data platforms
- Ability to analyze data produced by ETL pipelines (no heavy ETL development required)
Nice to Have
- Insurance, payroll, or financial data domain experience
- Exposure to data governance or metadata concepts
- Basic Python or Excel automation skills
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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.
Key Responsibilities:
Elicits reporting and analytic requirements from business and technology requestors to generate visualization or analysis.
Supports implementation of data requirements and practices for an assigned area.
Applies secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.
Under supervision creates and executes standard visualization techniques.
Uses visualization and analysis techniques to present findings of data exploration exercises to stakeholders based on requirements gleaned.
Maps the flow of data and the business processes and/or technical interfaces which would be created or impacted and recommends solutions/adaptations.
Collaborates with others to implement standardized data reporting, analytics, and visualization tools.
Works on profiling, mapping, and modeling tools.
With guidance may partner with others on projects requiring data visualization.
Additional responsibilities may include collaboration across teams and adherence to company standards.
May perform other responsibilities as assigned.
Qualifications & Experience:
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.
Experience:
Two to five years of relevant experience with data management/ organization/ analytics or practices. Experience in with data visualization tools, reporting and self-service analytic techniques. Experience in application of data acquisition and data wrangling. Insurance/financial services industry knowledge a plus.
Technical Skills:
Agile Methodology
Business Acumen
Communication
Data Architecture
Data Engineering
Data Management
Problem Solving
Python (Programming Language)
Soft Skills & Attributes:
Strong communication and collaboration skills
Analytical and problem-solving mindset
Ability to work in agile and global environments
Time management and prioritization
Data application and practices knowledge.
Additional Information:
Reporting Structure:
Reports to Technology Leader – India
Working Hours:
Aligned to India business hours with flexibility for global collaboration.
Location Flexibility:
[Hybrid/Remote/In-office] with periodic in-office collaboration.
Equal Opportunity Statement:
Nationwide is committed to diversity and inclusion. All qualified applicants will be considered without regard to race, gender, disability, religion, or other protected categories.
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Skills
PythonRSQLMachine LearningData AnalysisData EngineeringData VisualizationStatisticsPower BITableauExcelSnowflakeDatabricksETLReconciliationIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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