Business Intelligence Analyst II

AAA Life Insurance Company•Livonia, MI

2d•Hybrid

About The Position

We are looking for an ambitious, curious leader to serve as a Business Intelligence Analyst II on the Business Operations team to turn data into meaningful insights that drive smarter decisions, improve operations, and support AAA Life’s growth. Are you ready to redefine how an entire industry engages with customers? At AAA Life, we leverage technology to put human connection at the heart of what we do. If you are someone who thrives on purpose and wants to make a tangible difference in people’s lives when it matters most, then join AAA Life — a company uniquely positioned to reach tens of millions of existing AAA customers, backed by the strength of one of America’s most trusted brands. We have embarked on a mission to double in size, becoming one of the largest providers in the US. Our mission is to provide these services for as many people as we can. To achieve that, we need to continue to grow and evolve. We need to boldly embrace innovation and technology, and your leadership will help us deliver on our mission together and achieve our transformation. At AAA Life, empathy and progress go hand in hand, creating a culture where bright ideas flourish and meaningful impact grows. If you are drawn to an environment that values purpose as much as potential, we invite you to join us. Because here, being there for people isn’t just a promise—it is our driving force.

Requirements

Bachelor's degree in Business, Finance, Economics, Statistics, Mathematics, Computer Science, Information Systems, or a related field.
At least 2 years of experience analyzing and interpreting data and communicating insights to business stakeholders.
Experience developing reports, dashboards, and visualizations using business intelligence tools such as Power BI.
Strong proficiency with Microsoft Excel, including advanced formulas, pivot tables, and data analysis techniques.
Experience working with large datasets and combining information from multiple data sources.
Demonstrated ability to communicate analytical findings effectively to both technical and non-technical audiences.

Nice To Haves

At least 3-5 years of experience in business intelligence, analytics, reporting, finance, operations, or a related field.
Experience using SQL to query, transform, and analyze data.
Experience with Python, R, or other analytical tools.
Experience supporting operational, financial, customer service, underwriting, or claims-related analytics.
Experience creating automated reporting solutions and improving reporting processes.
Familiarity with data governance, KPI development, and performance measurement frameworks.
Experience participating in cross-functional projects that leverage analytics to improve business outcomes.
Experience within the life insurance, financial services, or insurance industry.

Responsibilities

Access, analyze, and interpret data from multiple sources to develop reports, dashboards, and ad hoc analyses that support business and operational decision making.
Monitor and evaluate operational performance metrics, identify trends, and recommend opportunities for process improvement and increased efficiency.
Create, maintain, and enhance Power BI reports and dashboards that translate complex data into meaningful and actionable insights for business users.
Partner with business stakeholders to gather requirements, define reporting needs, and deliver solutions that address business objectives.
Conduct analyses of business processes, operational performance, and key metrics to support department initiatives and strategic goals.
Support the development and maintenance of automated reporting and data processes that improve consistency, accuracy, and efficiency.
Present findings and recommendations to business partners and department leadership in a clear and concise manner.
Assist in identifying opportunities to improve business outcomes through data-driven decision making and process improvements.
Participate in data governance and data stewardship activities by helping define, document, and maintain key performance indicators, metrics, and reporting standards.
Collaborate with cross-functional teams to support ongoing reporting, analytics, and data transformation initiatives.
Perform quality assurance and validation activities to ensure the accuracy and reliability of reports, dashboards, and analytical outputs.
Maintain documentation related to reporting processes, data sources, business rules, and analytical methodologies.
Stay current on analytics tools, reporting technologies, and industry best practices to continuously improve capabilities and effectiveness.