Data Analyst

Position Overview

AAA is hiring a Data Analyst with 0 – 3 years of experience based in the United States – Livonia, MI, with in-office work arrangements. In this role, you will be at the forefront of transforming data into actionable insights for AAA Life Insurance. Your work will drive marketing strategies and operational decisions by extracting, analyzing, and visualizing data.

Key Responsibilities

• Develop automated, easy to understand reports and ad hoc analyses to address specific marketing questions and provide insights to guide decision making.
• Utilize statistical techniques and data analysis tools (i.e., Python, R, SQL) to gather, clean, and analyze large datasets from various sources, identifying trends, patterns, and key performance metrics.
• Collaborate closely with marketing teams to interpret data and provide actionable insights to optimize marketing campaigns, customer segmentation, and overall strategy.
• Create and maintain Power BI reports and dashboards to translate complex data into clear visualizations that marketing staff can easily interpret and use to inform their strategies.
• Monitor and report on key performance indicators (KPIs), tracking marketing initiatives against established goals, and providing regular updates to stakeholders.
• Conduct A/B tests and statistical analyses to evaluate the effectiveness of marketing strategies, making data-driven recommendations for improvements.
• Collaborate with marketing teams to segment audiences effectively and personalize marketing approaches based on data-driven insights.
• Maintain clear and organized documentation of data sources, methodologies, and analysis results.

Required Qualifications

• Bachelor in Statistics, Marketing, Economics, Computer Science, or a related technical field. Master’s degree is a plus.
• A minimum of two years’ experience working as a Data Analyst, Marketing Analyst, or in a similar role.
• Proficiency in data analysis tools and programming languages (i.e., Python, R, SQL).
• Ability to create and interpret reports and dashboards using Power BI, Tableau, or similar data visualization tools.
• Familiarity with marketing analytics tools and platforms (i.e., Google Analytics, Adobe Analytics).
• Solid understanding of statistical concepts and experience with A/B testing and hypothesis testing.
• Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.

Benefits & Perks

• Competitive Compensation
• Pension
• 401K
• Tuition Reimbursement