Apply on Employer Site

Nationwide · 3 weeks ago

Specialist, Data Solution Analyst

Iowa - Des Moines, 1100 Locust Street

Full-time

Onsite

Mid Level

3+ years exp

Nationwide is a leading insurance company focused on delivering extraordinary care through innovative data solutions. The Data Solution Analyst role involves acquiring, curating, and publishing data for analytical and operational uses, ensuring data quality and providing insights to stakeholders.

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

SQLPythonData GovernanceStatistical AnalysisCloud & Big DataVisualization ToolsData ModelingETL/ELT ToolsDatabase SystemsBusiness AcumenCommunicationProblem SolvingCollaborationAdaptability

Required

Expert in SQL and knowledge of Python - advanced querying, data manipulation, and analysis

Experience with visualization tools such as Tableau and Power BI

Experience with statistical analysis including A/B testing, regression, and clustering

Experience with cloud and big data technologies such as Snowflake, Oracle, and 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 such as PostgreSQL

Experience with ETL/ELT tools such as Informatica and Talend

Experience with modeling tools such as Erwin

Experience with system design including APIs, integration, and scalability

Ability to extend existing data model per enhancement requirements

Ability to lead requirements elicitation sessions and elicits reporting and analytic requirements from business and technology requestors to generate visualization or analysis

Experience with insurance domain data

Strong communication skills to explain insights to non-technical stakeholders

Strong business acumen to align data work with strategic goals

Strong problem-solving skills to identify patterns and propose solutions

Ability to collaborate and work across teams (engineering, product, execs)

Adaptability to keep up with evolving tools and trends

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

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

Certifications are not required but encouraged

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

And more.

Company

Nationwide

Glassdoor3.9

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.

Founded in 1925

Columbus, Ohio, USA

10001+ employees