Senior Business Insights Analyst – Operational Capacity Forecasting bei National Life Group
National Life Group · Montpelier, Vereinigte Staaten Von Amerika · Onsite
- Senior
- Optionales Büro in Montpelier
Senior Business Insights Analyst – Operational Capacity Forecasting
Please note that we do not offer visa sponsorship for this position.
Company Summary
Come join one of America’s fastest growing insurance companies with a stable history of 175 years. At National Life Group (“NLG”), we offer a flexible work environment with opportunity for growth. As a mission-driven business, our promises are as important as the products we sell. We encourage our associates to live our values: Do Good. Be Good. Make Good.
Our mission extends beyond the insurance and annuities policies that we sell. Our cause is also to make the world a better place through grants from our charitable foundation, paid time for our employees to volunteer, environmentally sustainable and healthy work sites, and events that promote the work of nonprofits in our own backyard.
We invite you to explore what we have to offer and to join our cause.
Role Summary
The Senior Business Insights Analyst is part of a team that delivers high-value business insights to drive informed decision-making across NLG’s Operations area. In this role, you will support operational leaders by providing analytical solutions that help them manage their business and better serve National Life’s agents and customers. As part of our team, you will have the opportunity to collaborate on exciting projects that make a real impact on the organization, while continuing to grow your skills and expertise in data & analytics. The ideal candidate will be analytically minded, eager to learn, and able to develop strong customer relationships. If that sounds like you, we want to hear from you!
Essential Duties and Responsibilities
- Develop, implement, and refine forecasting models to predict operational capacity needs across multiple functions (e.g., staffing, demand, production, service delivery).
- Analyze historical and real-time data to identify patterns, trends, and gaps that impact capacity planning.
- Collaborate with cross-functional teams (Operations, HR, Finance) to gather data inputs and align forecasting assumptions.
- Build dashboards, reporting tools, and self-service solutions to communicate capacity forecasts, risks, and recommendations to stakeholders by blending, transforming, and aggregating multiple data sources.
- Conduct scenario planning and sensitivity analysis to model the impact of business changes (e.g., new product launches, seasonal demand spikes) and influence the strategy to address identified business gaps.
- Monitor forecast accuracy and continuously improve model performance through back-testing and refinement.
- Use complex data to develop actionable steps and deliver relevant storylines that will drive results and shape business strategy
- Develop strong relationships and educate others at all levels across the organization by breaking down complex storylines, variables, or trends
- Effectively communicate insights at all levels across the Enterprise
- Support other analysts in drawing connections across CIG or the Enterprise
- Play an instrumental role in onboarding new teammates, upskilling less experienced analysts, and leading team projects
- Adhere to internal controls and governance procedures and ensure that team members are doing the same
- Aid in the development of future-state data needs
Minimum Qualifications
- 12 years of total combined post-secondary education and relevant work experience, which may include:
- Bachelor’s degree in a quantitative field (e.g., Economics, Math, Finance, Data Analytics, Data Science, or similar) and 8 or more years of related work experience, OR
- Advanced degree and 5 or more years of related work experience, OR
- 12 or more years of total equivalent work experience.
- Proficiency in Microsoft Office Suite with an emphasis on Excel.
- Skilled in understanding database structures, blending data from different sources, and creating new data sources.
- Proficiency in Tableau and Alteryx for data analysis, visualization, and statistical modeling; SQL proficiency is helpful but not required.
Preferred Qualifications
- Master’s degree/relevant certifications and / or degree in a quantitative field (e.g., Math, Finance, Data Analytics, Data Science, or similar)
- Experience applying predictive analytics to real-life business problems
- Analytics experience within insurance or financial services industry
Benefits
- Your benefits start day one and are flexible and customizable to your and your family’s specific needs. Check out the BENEFITS of a Career at National Life!