Business Intelligence Analyst III, Marketing Analytics

Livonia, MI, United States

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Overview

Why join?

 

Join us in revolutionizing an entire industry's customer engagement. We prioritize human connection through technology. If you're driven by purpose and want to make a meaningful impact on people's lives, this is the place for you. Our team challenges norms with the support of a trusted American brand.

  • Purpose: A leading professional services firm found that AAA Life associates demonstrate some of the highest levels of commitment, empathy, and dedication when compared to top U.S. companies in a benchmark analysis.
  • Growth: We have the privilege to offer our products to tens of millions of Americans that make up the AAA member base
  • Focus is on “working families”, “everyday Americans”, “ordinary citizens”, “mainstream population” “average income households”, providing life insurance products that truly impact people's lives (more information will be provided in the interview).
  • Team (Culture): USA Today named us a 2024 and 2025 top US workplace

 

Who are we looking for?

 

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.

Responsibilities

How will you contribute?

 

Design, build, and automate user friendly PowerBI dashboards to enable data-driven decision making by our stakeholders, including:

  • Developing data quality frameworks
  • Creating standardized reporting templates
  • Conducting advanced customer segmentation analyses
  • Conducting advanced modeling decile analyses
  • Supporting strategic planning with actionable data-driven insights

Track marketing initiatives, produce 360-degree campaign results analysis, validating against forecast and plan, proactively identifying actionable opportunities for results improvement, providing status reports and strategic recommendations to business stakeholders. Specifically, focus on:

  • Increasing dashboard efficiency
  • Increasing insight impact
  • Process automation success rates
  • Shortened time to deliver actionable insights

Collaborate with marketing stakeholders to identify business questions and challenges, then perform appropriate analyses and deliver actionable insights and recommendations.

 

Work with marketing data team and service providers to ensure data is complete, correct, and suitable for analysis.

 

Design and conduct hypothesis testing (A/B testing and multi-variate testing) to evaluate the effectiveness marketing activities or strategies

 

Maintain clean and organized documentation of data, methodologies, and results in a central depository.

 

Identify opportunities for automation in existing processes to improve overall efficiency. Recommend new processes to enhance efficiency and performance.

 

Back up data scientists and modelers whenever business requires. Comfortable with building statistical models, using ML/AI platforms and algorithms, and marketing technology.

 

Actively seek out innovation and optimization use cases and experiments that will result in organizational transformation and sales and profit improvements.

Qualifications

What do you offer?

 

Preferred: Master’s degree in Statistics, Mathematics, Data Science, Business Analytics, or related field

  • 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)
  • Experienced with cloud platforms such as AWS, Azure, and Google Cloud. Familiar with big data technologies (Spark, Hadoop)
  • 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
  • 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

 

What can we offer?

  • Enjoy a hybrid work environment that promotes work-life balance.
  • Comprehensive medical, dental, and vision coverage starting from your first day.
  • Employer 401k match and employer contribution to a pension plan.
  • Generous PTO and paid parental leave to support your family needs.
  • Opportunities for associate engagement in various social programs and community involvement initiatives backed by the company.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: A/B testing AWS Azure Bayesian Big Data Business Analytics Business Intelligence Data governance Data quality Data visualization Economics GCP Git Google Cloud Hadoop KPIs Machine Learning Mathematics Power BI Privacy Python R Security Spark SQL Statistics Tableau Testing

Perks/benefits: 401(k) matching Career development Health care Medical leave Parental leave Startup environment Team events

Region: North America
Country: United States

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