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. It leads reporting and ad hoc analysis, evaluates marketing performance, and develops recommendations using data from varied sources. The analyst collaborates with marketing teams and stakeholders, maintains data quality and documentation, and mentors junior data analysts.

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.

Nice To Haves

  • Master’s degree.

Responsibilities

  • Lead and develop automated, easy-to-understand reports and ad hoc analyses to answer 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 improve 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.
  • Lead development of key performance indicators, track marketing initiatives against goals, and provide regular stakeholder updates.
  • Conduct A/B tests and statistical analyses to evaluate marketing strategies and recommend improvements.
  • Collaborate with marketing teams to segment audiences and personalize marketing approaches using data-driven insights.
  • Maintain organized documentation of data sources, methodologies, and analysis results.
  • Mentor junior data analysts on best practices.
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