Data Analyst III

Overview

Operating within the core values and operating principals of the organization, the Data Analyst III ensures that AAA Life Insurance makes effective business and operational decisions. As a Data Analyst, you will be at the forefront of transforming data into actionable insights. This role involves extracting, analyzing, and visualizing data to provide valuable recommendations that drive marketing strategies and decision-making.

• Lead & 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, analyze, and provide recommendations regarding 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.
• Develop and implement data governance and quality assurance processes.
• 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.
• Lead and develop 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.
• Mentor junior data analysts regarding best practices in field.

• Bachelor in Statistics, Marketing, Economics, Computer Science, or related technical field. Master’s degree is a plus.
• A minimum of five years’ experience working as a Data Analyst, Marketing Analyst, or similar role.
• Extensive experience 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.
• Proficiency 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.