Data Analyst III

AAA Life Insurance Company•Livonia, MI
•Hybrid

About The Position

The Data Analyst III helps AAA Life Insurance make effective business and operational decisions by transforming data into actionable insights. The role focuses on extracting, analyzing, and visualizing data to inform marketing strategies and decision-making. The analyst develops automated reports and ad hoc analyses, evaluates marketing performance, and shares recommendations with marketing teams and stakeholders. The position also supports data governance and quality assurance, maintains documentation, and mentors junior data analysts. The work arrangement is hybrid.

Requirements

  • Bachelor’s degree in Statistics, Marketing, Economics, Computer Science, or a related technical field.
  • At least five years of experience as a Data Analyst, Marketing Analyst, or in a similar role.
  • Extensive experience with data analysis tools and programming languages such as Python, R, and 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 such as Google Analytics or 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.
  • Ability to perform the duties described, including frequently standing, walking, sitting, using hands to finger, handle, or feel, talking, hearing, and concentrating; vision abilities include close vision, distance vision, depth perception, and adjusting focus.

Nice To Haves

  • Master’s degree.

Responsibilities

  • Lead and develop automated, accessible reports and ad hoc analyses to address marketing questions and guide decision-making.
  • Use statistical techniques and tools such as Python, R, and SQL to gather, clean, and analyze large datasets from various sources, identify trends and performance metrics, and provide recommendations.
  • Collaborate with marketing teams to interpret data and provide actionable insights to optimize campaigns, customer segmentation, and overall strategy.
  • Develop and implement data governance and quality assurance processes.
  • Create and maintain Power BI reports and dashboards that make complex data understandable to marketing staff.
  • Develop key performance indicators, track marketing initiatives against goals, and provide regular updates to stakeholders.
  • Conduct A/B tests and statistical analyses to evaluate marketing strategies and recommend improvements.
  • Work with marketing teams to segment audiences and personalize marketing approaches using data-driven insights.
  • Maintain clear documentation of data sources, methodologies, and analysis results.
  • Mentor junior data analysts on best practices.
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