Business Analytics Engineer

AAA-The Auto Club Group • FL-ACG Florida AOB, FL

2d • $67,371 - $104,811 • Hybrid

About The Position

Responsible for analyzing membership data and delivering insights that support strategic decision-making. This role helps the organization improve member acquisition, engagement, retention, and revenue by transforming data into actionable recommendations. Duties may include: Maintaining and updating existing dashboards and reports in Tableau, ensuring data accuracy and timeliness Generating standard recurring reports for internal stakeholders, including KPI summaries, trend reports, and performance metrics Performing data quality checks and troubleshooting reporting issues, escalating complex problems to senior team members Documenting reporting processes and creating user guides for self-service dashboards Responding to ad-hoc data requests from stakeholders with quick turnaround Assisting in consolidating and standardizing membership metrics across different reporting systems Conducting exploratory data analysis to identify trends, patterns, and anomalies in membership data Supporting analytical projects by gathering data, performing calculations, and creating summary statistics Assisting with member segmentation analysis and cohort reporting Preparing data extracts and performing basic data manipulation using SQL queries Creating visualizations and charts to communicate findings to business stakeholders Support A/B test analysis by compiling results and calculating key metrics Partnering with Product, Marketing, and Operations teams to understand their data needs and provide reporting support Participating in team meetings and contributing ideas for improving reporting processes Communicating data findings clearly to non-technical audiences Working collaboratively with IT and data engineering teams to resolve data issues Developing proficiency in business intelligence tools, including Tableau, SQL, and Excel Building understanding of membership business metrics, including retention, churn, lifetime value, and acquisition costs Learning analytical methodologies and statistical concepts through hands-on project work Participating in training sessions and knowledge-sharing activities with team members Staying current on data visualization best practices and dashboard design principles

Requirements

• Bachelor's degree in Statistics, Mathematics, Economics, Business Analytics, Computer Science, Management Information Systems, a related quantitative field, or related experience.
• 1-3 years of experience in analytics, business intelligence, data analysis, or related roles
• Basic proficiency with SQL for querying databases and extracting data
• Familiarity with data visualization tools (Tableau preferred, Power BI, or similar)
• Advanced Excel skills, including pivot tables, VLOOKUP, and basic formulas
• Basic understanding of database concepts and data structures
• Attention to detail and commitment to data accuracy
• Basic understanding of statistical concepts (mean, median, percentiles, distributions)
• Strong written and verbal communication skills
• Eagerness to learn and take on new challenges
• Strong organizational and time management skills
• Professional demeanor and reliability
• Ability to work independently and as part of a collaborative team
• Ability to translate data into clear, actionable insights
• Strong quantitative and analytical thinking abilities

Nice To Haves

• Internship or academic project experience with data analysis strongly preferred
• Coursework or projects involving statistical analysis or data visualization
• Exposure to Python or R for data analysis
• Familiarity with business concepts such as marketing, finance, or operations
• Previous experience in customer-facing businesses or subscription models
• Tableau Desktop Specialist certification or willingness to obtain
• Master’s degree in a quantitative field (e.g., Data Analytics, Statistics, Computer Science, Economics, or related discipline)
• 2+ years of experience writing complex SQL queries for data extraction, transformation, and analysis
• Experience supporting ad hoc data requests in a fast-paced business environment
• Experience documenting data sources, definitions, and reporting processes to support transparency and scalability
• Strong understanding of data quality concepts and experience in identifying and resolving data discrepancies
• Experience working with business stakeholders to translate questions into data requirements

Responsibilities

• Maintaining and updating existing dashboards and reports in Tableau, ensuring data accuracy and timeliness
• Generating standard recurring reports for internal stakeholders, including KPI summaries, trend reports, and performance metrics
• Performing data quality checks and troubleshooting reporting issues, escalating complex problems to senior team members
• Documenting reporting processes and creating user guides for self-service dashboards
• Responding to ad-hoc data requests from stakeholders with quick turnaround
• Assisting in consolidating and standardizing membership metrics across different reporting systems
• Conducting exploratory data analysis to identify trends, patterns, and anomalies in membership data
• Supporting analytical projects by gathering data, performing calculations, and creating summary statistics
• Assisting with member segmentation analysis and cohort reporting
• Preparing data extracts and performing basic data manipulation using SQL queries
• Creating visualizations and charts to communicate findings to business stakeholders
• Support A/B test analysis by compiling results and calculating key metrics
• Partnering with Product, Marketing, and Operations teams to understand their data needs and provide reporting support
• Participating in team meetings and contributing ideas for improving reporting processes
• Communicating data findings clearly to non-technical audiences
• Working collaboratively with IT and data engineering teams to resolve data issues
• Developing proficiency in business intelligence tools, including Tableau, SQL, and Excel
• Building understanding of membership business metrics, including retention, churn, lifetime value, and acquisition costs
• Learning analytical methodologies and statistical concepts through hands-on project work
• Participating in training sessions and knowledge-sharing activities with team members
• Staying current on data visualization best practices and dashboard design principles

Benefits

• Earn a competitive salary of $67,371 - $104,811 with annual bonus potential based on performance
• Fully paid training
• Medical, dental, and vision benefits
• 401 (k) with employer match
• Paid parental leave and adoption assistance
• Paid Time Off (PTO), company-paid holidays, CEO days, and floating holidays
• Paid volunteer day annually
• Tuition assistance program, professional certification reimbursement program, and other professional development opportunities
• AAA Membership Discounts, perks, rewards, and much more

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level