Sr Insights Analyst (Claims)

Assurant•Atlanta, GA

2d•$74,600 - $124,700

About The Position

The Senior Business Intelligence Analyst leads complex Claims analytics and business intelligence initiatives, translating business questions into scalable reporting solutions and actionable insights. The role helps execute the BI strategy and deliver executive and operational dashboards, regularly developing Power BI reports and dashboards and supporting semantic models and large-scale data initiatives. It serves as a senior liaison across Claims, Product, Actuarial, IT, and data teams; presents business performance and analytical findings; facilitates stakeholder feedback and solution adoption; and trains and mentors junior analysts. The role also applies predictive analytics and forecasting, where appropriate, to anticipate claim volume, workload, operational performance, and emerging trends. The position designs, develops, tests, deploys, and maintains Power BI reporting solutions; automates recurring reporting; partners with business and technology teams on complex data and reporting initiatives; leads complex analyses; and communicates actionable findings to stakeholders and leadership. Weekend support may be needed during catastrophe events or other periods of elevated claim volume. Overnight travel to clients or other Assurant offices may be required, at less than 20%.

Requirements

At least 5 years of business intelligence and analytics experience.
At least 3 years of direct stakeholder engagement experience and experience providing user insights directly to leadership.
At least 3 years of Business Intelligence Metrics & Reporting experience using Power BI and DAX.
Strong MS SQL skills for querying, profiling, and testing.
Advanced knowledge of MS Word, Excel, and Access.
Experience with data warehousing and data marts.
Strong working knowledge of business intelligence software.
Bachelor’s degree in Data Analytics, Business, or a related field.
Ability to communicate effectively orally and in writing with executive management, team members, and business and technology professionals.
Ability to work within tight time constraints on multiple complex risk projects or portions of higher-risk projects.
Ability to collect, organize, and process complex data from multiple sources, verify accuracy, and develop alternatives and logical relationships.
Ability to plan daily work activities to maintain a high level of personal productivity.
Ability to understand a customer’s business environment and provide appropriate solutions.
Ability to work with the BI team to develop technical solutions and implement ongoing business objectives consistent with the organization’s data analysis strategy.
Ability to maintain high-quality data used in support of the enterprise claims management strategy.
Ability to interact effectively with internal and external personnel at all levels to develop specifications that meet customer requirements.

Nice To Haves

Experience applying predictive analytics, forecasting, or statistical modeling in a business environment, preferably using Python, R, Power BI, or similar tools.

Responsibilities

Design, develop, test, deploy, and maintain Power BI reports and dashboards of varying complexity in alignment with business requirements.
Apply sound data modeling, SQL/DAX, visualization, accessibility, security, performance, and lifecycle management practices.
Identify and automate recurring manual reporting processes to improve efficiency, scalability, and data consistency.
Incorporate forecast outputs and predictive indicators into reporting solutions when supported by business needs and reliable data.
Serve as the primary liaison between business stakeholders and IT on complex initiatives, including semantic models, integrated data solutions, and large-scale reporting implementations.
Lead requirements discovery, metric definition, solution design, data validation, user acceptance testing, defect resolution, implementation, and documentation.
Clarify requirements, priorities, deliverables, dependencies, and timelines for business stakeholders and delivery teams.
Establish and achieve analytical and project objectives independently, demonstrating initiative and accountability.
Identify, document, and manage current and future reporting needs as business objectives evolve.
Assist in identifying and acquiring data from internal and external sources, such as XACT, DXC, and Kwikwork, and support its integration into enterprise reporting solutions.
Lead complex ad hoc analyses using multiple data sources to answer underlying business questions and provide insights beyond the initial request.
Evaluate results from multiple perspectives and identify trends, drivers, patterns, anomalies, and risks.
Prepare and deliver executive-ready reports, presentations, and recommendations for Claims, Product, Actuarial, and leadership audiences.
Use statistical, predictive, and forecasting methods, where appropriate, to estimate future trends and assess potential operational impacts.
Conduct report and dashboard walkthroughs to gather feedback, encourage adoption, and confirm solutions meet business needs.
Communicate project scope, priorities, timelines, risks, assumptions, and tradeoffs throughout delivery.
Support business applications and reporting platform access by researching, troubleshooting, escalating, and resolving data and system issues with appropriate technical teams.
Mentor junior analysts through coaching, training, knowledge sharing, and work review.
Lead training on reports, dashboards, and self-service analytics tools, and support knowledge transfer between teams.
Communicate system enhancements, reporting changes, and business process updates to promote stakeholder awareness and adoption.