Business Intelligence Analyst III, Marketing Analytics

AAA Life Insurance Company•Livonia, MI

15h•Hybrid

About The Position

Why AAA Life AAA Life is a respected and trusted American brand that has been focusing on Life Insurance and Annuity Products since 1969. At AAA Life we have over 1.8 million policies where we take pride in earning the trust of our policyholders who understand our promise to be there for them – and their families – when we’re needed most. By joining the AAA Life team, you are joining a company that genuinely cares about helping each other, with a devotion to protect the lives of those around us. We embrace a diverse, equitable, inclusive culture where all associates can feel a sense of belonging and use their unique talents and perspective to influence, innovate, motivate, and thrive. As a Business Intelligence and Marketing Analyst, you will be responsible for delivering insights and recommendations related to the marketing of AAA Life’s various products. You will partner with marketing staff, marketing data managers, and other data analysts and data scientists to identify business questions, gather data, perform appropriate analyses, and deliver insights and recommendations. This role requires proficiency in SQL, R or Python, a visualization tool such as Power BI or Tableau, and a passion for delivering actionable insights and driving the growth of the organization.

Requirements

Bachelor’s degree in Statistics, Mathematics, Economics, Data Science, Business Analytics, or related field
5+ years of experience in business analytics
Proficiency in SQL, Python or R, and visualization tools such as Power BI.
Proficiency in cloud platforms (AWS, Azure, Google Cloud)
Understanding Machine Learning frameworks
Proficiency in version control systems (Git)
Possess strong analytical and problem-solving skills.
Able to effectively communicate complex analytical findings in a candid, clear, and concise way with both technical and non-technical audiences. Able to present findings persuasively.
Can maintain perspective between the big picture and the tactical details. Remains aligned with the organization’s strategic plan
Capable of maintaining solid working relationships with other people. Works well as part of a team
Stellar attention to detail, including maintaining accuracy and consistency across a suite of analytics assets, keeping documentation up to date, and proactively identifying and addressing any quality concerns.
Self-starter with the ability to identify priorities and focus on items with high business impact

Nice To Haves

Preferred: Master’s degree in Statistics, Mathematics, Data Science, Business Analytics, or related field
Experienced with cloud platforms such as AWS, Azure, and Google Cloud.
Demonstrated ability to translate business requirements into automated reporting solutions.
Understanding of marketing metrics and KPIs with focus on automated tracking.
Proven track record of implementing report automation and self-service analytics
In-depth experience with hypothesis testing, including test design and analysis in marketing, including both digital marketing and direct mail
Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference
Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts
Experience with data visualization best practices and automated dashboard design
Experience with compliance and Data Governance Data privacy compliance (GDPR, CCPA) Ethical data handling practices Data security best practices

Responsibilities

Design, build, and automate user-friendly Power BI dashboards and management reports for stakeholders across all business functions, including Sales, Marketing, Product, Technology, and Operations. Ensure reporting enables data-driven decision-making at both tactical and strategic levels.
Deliver actionable insights that improve business performance at both the campaign and enterprise level. Translate complex analyses into clear strategic recommendations that drive measurable improvements in sales, profitability, operational efficiency, and competitive positioning.
Track marketing initiatives and produce comprehensive 360-degree campaign performance analyses. Validate results against forecasts and business plans, identify performance gaps and root causes, and recommend data-driven optimizations to improve outcomes.
Perform in-depth analyses to identify key business risks and opportunities. Provide clear recommendations to senior leadership to enhance overall profitability and strengthen operational effectiveness.
Distill complex data sets and relationships into clear, concise visualizations and executive-ready presentations that communicate insights effectively to both technical and non-technical audiences.
Implement key recommendations by: Identifying and aligning cross-functional stakeholders Translating business needs into technical and analytical requirements Ensuring accurate implementation of solutions Monitoring impact through performance measurement Continuously optimizing results based on data
Gather, process, and analyze raw data at scale, including writing SQL queries, scripts, calling APIs, and performing web scraping where appropriate. Transform structured and unstructured data into formats suitable for analysis, then conduct advanced statistical and performance analyses to extract meaningful insights.
Conduct advanced analytical techniques including customer segmentation, model and decile analysis, hypothesis testing (A/B and multivariate testing), and performance diagnostics to support strategic decision-making.
Support strategic planning through forward-looking analysis, scenario modeling, and performance forecasting to guide growth and investment strategy.
Partner with marketing, data, and technology teams to ensure data integrity, governance, and suitability for enterprise-level analytics. Maintain clean and organized documentation of data, methodologies, and results in a central depository.
Identify and implement automation opportunities that improve efficiency, reduce manual effort, and accelerate time to actionable insight.
Provide backup support to data scientists and modelers as business needs require. Demonstrate comfort building statistical models and leveraging ML/AI platforms to enhance insight generation.
Actively seek innovation and optimization opportunities that drive organizational transformation and sustained improvements in revenue and profitability.