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Marketing Data Analyst

AAA Mid-Atlantic
Full-time
On-site
United States

πŸ“Œ Core Information

πŸ”Ή Job Title: Marketing Data Analyst

πŸ”Ή Company: AAA Mid-Atlantic

πŸ”Ή Location: Wilmington, DE, United States

πŸ”Ή Job Type: On-site

πŸ”Ή Category: Marketing Analytics, Marketing Analyst

πŸ”Ή Date Posted: April 1, 2025

πŸ”Ή Experience Level: 2-5 years

πŸ”Ή Remote Status: Hybrid

πŸ“Œ Essential Job Details

πŸš€ Job Overview

Key aspects of this role include:

  • Developing and optimizing marketing campaign strategies with key business stakeholders.
  • Designing processes to automate campaign strategies.
  • Creating data mining architectures to identify trends in large datasets.
  • Automating existing marketing campaigns using advanced data tools.

ASSUMPTION: This role requires both technical data skills and collaborative abilities to interact with various departments. This assumption is based on the detailed responsibilities outlined which include data management and stakeholder collaboration.

πŸ“‹ Key Responsibilities

βœ… Retrieve, clean, and display marketing data for lead generation.

βœ… Optimize marketing campaigns through effective segmentation and targeting.

βœ… Design and build automated processes for campaign execution.

βœ… Perform statistical analysis to inform marketing strategies.

βœ… Identify and integrate new data sources to enhance marketing efforts.

βœ… Collaborate with SQL/Adobe teams to test and incorporate new data inputs.

βœ… Securely manage data transfers with third-party vendors.

βœ… Update and refine business procedures to improve processes.

ASSUMPTION: The emphasis on data security and process optimization suggests on-going improvements to maintain data integrity and operational efficiency.

🎯 Required Qualifications

Education: Bachelor's Degree in Computational and Data Science, Economics, Statistics, Math, or related field; equivalent experience considered.

Experience: Minimum of 2 years in direct marketing and working with relational data systems.

Required Skills:

  • Proficiency in SQL and Google Big Query
  • Experience with SAS Guide and/or Adobe Campaign
  • Strong analytical and data cleaning capabilities

Preferred Skills:

  • Adobe or SQL MCTS Certifications
  • Comprehensive knowledge of Microsoft Office Suite

ASSUMPTION: SQL proficiency and experience with multiple data tools indicate a substantial technical component to the role, possibly due to the volume and complexity of data managed.

πŸ’° Compensation & Benefits

Salary Range: Competitive; exact figures not specified, but includes annual bonus and merit increases.

Benefits:

  • Health & Life Insurance
  • 3+ weeks of paid time off
  • 401(K) plan with company match up to 7%
  • Professional development opportunities
  • Comprehensive wellness programs

Working Hours: 40 hours per week with flexibility for hybrid work arrangements.

ASSUMPTION: The inclusion of a robust benefits package suggests a focus on long-term employee satisfaction and retention.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: Consumer Services, emphasizing roadside assistance and membership benefits.

Company Size: 1,001-5,000 employees, providing stability and diverse career opportunities.

Founded: 1900, with a long history of service and industry leadership.

Company Description:

  • Offers a range of services from insurance to travel-related products.
  • Committed to employee satisfaction and community engagement.
  • Recognized for diversity efforts and corporate responsibility initiatives.

Company Specialties:

  • Automotive and Driver Training
  • Travel and Lodging Discounts
  • Insurance and Financial Services

Company Website: https://www.aaa.com/aaa/212/careers/index.html

ASSUMPTION: With a broad range of specialties, the company's size and extensive offerings suggest potential for cross-departmental collaboration and varied career paths.

πŸ“Š Role Analysis

Career Level: Mid-level position with opportunities for advancement based on performance.

Reporting Structure: Likely reports to senior management in the marketing analytics division.

Work Arrangement: Combination of remote and on-site work to provide flexibility.

Growth Opportunities:

  • Potential to lead larger data projects.
  • Opportunities for certification and skill enhancement.
  • Engagement in cross-functional teams.

ASSUMPTION: The combination of technical and analytical duties points to a growth trajectory toward senior data roles or team leadership.

🌍 Location & Work Environment

Office Type: Modern, collaborative environment reflecting the company’s technological integration.

Office Location(s): 1 River Place, Wilmington, Delaware 19801, US

Geographic Context:

  • Located in a hub for transport and insurance services.
  • Access to a vibrant community with cultural amenities.
  • Close proximity to major cities like Philadelphia and Baltimore.

Work Schedule: Standard workweek with potential for flexible hours based on project demands.

ASSUMPTION: Wilmington's proximity to other major business areas suggests networking and professional growth potential.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Online application submission
  • Initial screening with HR
  • Technical interview with the analytics team

Key Assessment Areas:

  • Technical proficiency in data tools
  • Analytical reasoning skills
  • Cultural fit within AAA Mid-Atlantic

Application Tips:

  • Highlight SQL and data analysis projects on your resume.
  • Showcase examples of optimizing marketing efforts.
  • Prepare to discuss specific data challenges you've resolved.

ATS Keywords: Data Analysis, SQL, Adobe Campaign, Marketing Optimization, Direct Marketing

ASSUMPTION: The focus on technical and cultural assessment suggests a balanced evaluation of both skill and fit into AAA’s values-driven culture.

πŸ› οΈ Tools & Technologies

  • SQL
  • Google Big Query
  • Adobe Campaign
  • Microsoft Office Suite

ASSUMPTION: Familiarity with these core tools will facilitate onboarding and project efficiency, highlighting the importance of proficiency in these areas.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Commitment to service excellence
  • Leadership in community engagement
  • Focus on diversity and inclusion

Work Style:

  • Collaborative and open communication
  • Adaptability to meet various project demands
  • Proactive problem-solving approach

Self-Assessment Questions:

  • How do you handle large datasets and derive insights?
  • What is your approach to cross-departmental collaboration?
  • How do you manage competing priorities in a project?

ASSUMPTION: Ideal candidates will align with the company's community-focused and customer-centric approach, exhibiting adaptability and teamwork.

⚠️ Potential Challenges

  • Balancing on-site and remote responsibilities
  • Navigating complex data integration processes
  • Aligning multiple team objectives with overall company strategies
  • Adapting to rapid changes in marketing trends

ASSUMPTION: Challenges are anticipated in maintaining data integrity and adapting to fast-paced changes, common in a data-driven marketing environment.

πŸ“ˆ Similar Roles Comparison

  • This role offers more hybrid work flexibility compared to traditional on-site roles.
  • Greater emphasis on technical data skills than some marketing analyst positions.
  • Opportunity for direct impact on multiple marketing channels rather than a singular focus.

ASSUMPTION: The multifaceted nature of the role suggests a more comprehensive skill application compared to specialized positions.

πŸ“ Sample Projects

  • Designing a segmentation strategy for a multi-channel marketing campaign
  • Automating data visualization processes for stakeholder presentations
  • Developing predictive models for customer retention strategies

ASSUMPTION: Inclusion of diverse project examples indicates the broad application of data skills which are essential for the data analyst’s daily duties.

❓ Key Questions to Ask During Interview

  • How does the team prioritize marketing strategies across channels?
  • What are the most significant data challenges currently faced by AAA?
  • How does AAA support professional development within the analytics team?
  • What is the degree of autonomy in managing projects?
  • How often does the analytics team collaborate with other departments?

ASSUMPTION: These questions are crafted to provide insight into team dynamics, project management, and professional growth within the company.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through this link
  • Prepare your resume to highlight relevant experience and skills
  • Ensure inclusion of appropriate ATS keywords
  • Be ready for an HR screening followed by technical interviews
  • Follow up with HR post-interview to express continued interest

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.

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