Specialist Data Solution Analyst

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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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Job Description Summary

Job Description

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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Welcome

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Thanks for your interest in working on our team!!

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