AAA Marketing Product Analyst Salary in the United States

We call our club's vision, mission, values, and supporting pillars "Our House" because they are the foundation for all that we do.  We're working to transform AAA for the next century with a mission to create Members for life by unleashing the innovative spirit of our Team Members.

At AAA, our Team Members strive to deliver amazing service and help our Members outsmart life’s roadblocks. We believe everything you do outside of work adds to who you are at work. We're working to transform AAA for the next century with a mission to create Members for life by unleashing the innovative spirit of our Team Members.

Why Work For Us?

• Benefits – Medical, Dental, Vision, wellness program and more!

• 401k Matching – $1 for $1 company match up to 6% of pay

• Annual Incentive Plan – Eligibility to participate in AAA NCNU annual bonus plan

• Paid Time Off – Team Members accrue paid time off monthly with an additional 24 hours per year earmarked for volunteer activities

• Collaborative Environment – AAA will value your contribution to providing exceptional service to our members

Summary

Reporting to the Director of Product Analytics, the Marketing Product Analyst will have product knowledge and be assigned responsibility for conducting data analytics to drive business results and goals.  The role, will work on the marketing analytics lifecycle, from recommending campaigns and experiments, to developing foundational dashboards and leveraging data to drive key strategic decisions. 

Essential Functions

• Functions as the analytics partner for integrated marketing campaigns, including establishing consistent tracking, KPIs, and dashboards

• Performs  analysis of data and the relationship to operational and financial objectives of the organization. Analyzes data and delivers insights to business customers to deepen their understanding of key issues

• Collaborates with internal and external partners/ stakeholders to investigate issues, make recommendations and develops action plans to achieve goals

• Identifies and troubleshoots data issues, working with IT and other areas as needed

• Pulls data from internal and external partners to evaluate performance and develop insights on marketing campaigns

• Performs return on Investment (ROI) calculations to improve cost per key performance indicators (KPI) on marketing campaigns, including digital and traditional and provides recommendations to product managers on ways to improve marketing efficiencies

• Gathers inputs for return on marketing investment (ROMI), lifetime value (LTV) and attribution model data

Knowledge/Skills/Abilities

• Knowledge of AAA business & product concepts

• Ability to structure and conduct data analyses relevant to complex business issues using research, analytical, data processing and mathematical skills

• Oral and business writing communication skills and the ability to share analyses and recommendations to non-technical audiences

• Understanding of marketing channels and impact on marketing effectiveness.  Experience in data-oriented marketing channels like digital and direct mail

• Creative problem solver, positively challenging the status quo to drive solutions with a can-do attitude to overcome any obstacles and get things done

• Experience writing and optimizing SQL queries, data mining and working with large data sets, Knowledge of database structures including relational database concepts

• Advanced Microsoft Excel skills, including charts/graphs, pivot tables, lookups, and complex nested formulas

• Experience with business intelligence, reporting and visualization platforms (Tableau, DOMO, Looker, Cognos etc)

• Proficiency in MS-PowerPoint or Google Slides

Education & Experience/Licenses & Certification

• Bachelor's degree in a related area, advanced degree preferred

• 3-5 years in a data-centric business-to-consumer role (e.g. Marketing Analytics, Product Analytics, Customer Data Analytics, Applied Data Science, etc.)

• SCRUM certified and/ or agile methodology experience

• Expertise in SQL and proficiency in another data programming language (Python, R, etc.)