Specialist, Business Insights - REMOTE

Nationwide

23h•$88,000 - $164,000•Remote

About The Position

Are you passionate about being part of a team at a Fortune 100 company with nearly $70 billion in annual sales that delivers extraordinary care to help individuals and businesses prepare for and protect their future? If so, then Nationwide Financial could be the place for you! At Nationwide®, “on your side” goes beyond just words. Our customers and partners are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care. We are a versatile group of individuals, working together to meet the needs of our customers. We value knowledge, analytical aptitude and collaboration. If you thrive in a busy, engaging work environment, we want to know more about you! As a Specialist, Business Insights, you'll extract and manipulate internal and external data through R/SAS/SQL/Python, perform diagnostic and inferential analysis, and communicate actionable insights to business partners. You’ll also work with business partners to determine data and information needs to aid the business with decision making and build statistical and visual solutions using sophisticated business intelligence tools. And you may serve as a lead to others for information and data needs. Your focus will be to maximize the insight gained from internal and external data, ensuring that business partners are making decisions in an optimally informed way.

Requirements

Undergraduate studies in data or business analytics, computer science, management information, business, mathematics or related field with post-graduate studies preferred
Six or more years of related experience with data extraction, data manipulation, data visualization analysis, and problem solving; working with large database.
In-depth knowledge of business policies and procedures, customer service concepts and practices.
In-depth understanding of and working knowledge to build data visualization and business intelligence tools.
Strong communication skills to interact with others.
Ability to understand business processes and the data produced by them.
Understanding of functional and operational measurement needs, analyze data requests and interpret business problems into solutions.
Ability to work under tight time constraints.
Capable of developing distinctive and understandable data visualizations.

Nice To Haves

Professional experience in insurance, financial services, or a related industry preferred.

Responsibilities

Data Analysis & Insight Generation Perform advanced data analysis using SQL, Excel, R, and Python to identify trends, risks, and growth opportunities. Translate business questions into analytical frameworks and measurable outcomes. Provide proactive insight into performance drivers including growth, conversion, retention, claims, and profitability. Support forecasting, scenario modeling, and impact analysis for business initiatives.
Reporting & Dashboard Development Design, build, and maintain enterprise-grade dashboards and semantic models in Power BI. Develop scalable and efficient data models sourced from Snowflake. Ensure reporting accuracy, consistency, and alignment with enterprise data definitions. Optimize performance of datasets and visualizations to support premium capacity standards.
Data Management & Governance Alignment Partner with data governance and engineering teams to ensure data quality and integrity. Identify data gaps and collaborate on remediation efforts. Maintain documentation of data definitions, calculations, and reporting logic. Support regulatory and compliance reporting as needed.
Business Consultation & Cross-Functional Collaboration Serve as a trusted analytics advisor to business stakeholders. Lead requirements gathering sessions and translate needs into analytical deliverables. Present insights clearly to both technical and non-technical audiences. Support strategic initiatives with data-backed recommendations.
Continuous Improvement & Automation Improve reporting efficiency through automation and process optimization. Standardize reporting templates and analytical methodologies. Contribute to innovation efforts, including advanced analytics and AI-driven use cases.
Functions as the specialist in data extraction from databases, tables, data warehouses and other sources through R/SAS/SQL/Python.
Develops, produces, and maintains inferential, statistical, ad hoc and custom analyses and modeling for functional business areas. May use various data access tools to pull information for reports and solutions.
Builds and maintains relationships and serves as a trusted financial and operational measurement resource to clients, internal risk partners and other stakeholders.
Creates and presents financial and operational results. Ensures that insights are action oriented. May develop new statistical and visual solutions for relevant insights.
Consults with business partners to understand, align and deliver work that supports business objectives and priorities. Leverages statistical inferencing when conducting analysis. Communicates significance in findings when working with business partners.
May build business intelligence applications using statistical, database and/or general programming languages and tools. May assist other associates with preparation of reports and use of information systems, software and related sources of information and may train other users on report preparation and data base access.
Serves as a single point of contact and consultant for business areas for the intake and prioritization of data, reporting, analysis, and advanced statistical work. Leads and serves as a main point of contact for projects.
Monitors, reviews and analyzes the external environment to support the research and analysis done with data extracted from internal sources. Presents and discusses these findings with customers.
May perform other responsibilities as assigned.

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