Marketing Data Analyst

📌 Core Information

🔹 Job Title: Marketing Data Analyst

🔹 Company: Stripe Theory

🔹 Location: Atlanta, GA

🔹 Job Type: Full-time, Hybrid

🔹 Category: Marketing

🔹 Date Posted: April 18, 2025

🔹 Experience Level: 2-5 years

🔹 Remote Status: On-site/Hybrid

🚀 Job Overview

Key aspects of this role include:

• Analyzing marketing data to uncover actionable insights for clients
• Writing clear and concise reports to communicate findings
• Performing ROI analysis to evaluate marketing campaign effectiveness
• Collaborating with cross-functional teams to drive strategic decision-making

ASSUMPTION: This role requires a strong balance of analytical and communication skills, as well as a solid understanding of various marketing channels.

📋 Key Responsibilities

✅ Analyze marketing data and create actionable reports for clients

✅ Identify trends, conclusions, and strategic insights based on data findings

✅ Perform ROI analysis to evaluate marketing campaign efficiency and effectiveness

✅ Present ongoing report deliverables to clients

✅ Use Tableau to create tables, visualizations, and dashboards

✅ Pull data from various platforms (social media, email, website analytics, CRM programs, e-commerce, etc.)

✅ Set up data collection tools, including social listening and media monitoring

✅ Stay up-to-date on analytics news and trends, and share these with the team

✅ Support clients in quick crisis and issues reporting

✅ Participate in team brainstorming sessions

ASSUMPTION: This role may require working on multiple projects simultaneously, with varying deadlines and priorities.

🎯 Required Qualifications

Education: Bachelor’s degree in Advertising, Marketing, or equivalent

Experience: 2-3 years of experience in a similar marketing strategist or marketing analytics role

Required Skills:

• Proficient in Excel, Google Sheets, or equivalent
• Intermediate understanding of social media platforms and other marketing channels
• Strong verbal and written communication skills
• Demonstrated ability to multitask, prioritize, and manage deadlines
• Strong research skills
• Developed interpersonal skills and the ability to work effectively with a variety of people
• Eagerness to learn new tools and techniques

Preferred Skills:

• Experience in building tables, visualizations, and dashboards with a BI tool such as Tableau, Domo or similar

ASSUMPTION: While not explicitly stated, proficiency in data visualization tools like Tableau is highly preferred for this role.

💰 Compensation & Benefits

Salary Range: $55,000 - $75,000 per year (Based on industry standards for a Marketing Data Analyst role in Atlanta, GA)

Benefits:

• Health, dental, and vision insurance
• 401(k) plan with company match
• Paid time off (vacation, sick, and holidays)
• Flexible work schedule
• Professional development opportunities

Working Hours: Full-time, with a hybrid work arrangement (remote and on-site)

ASSUMPTION: The salary range provided is an estimate based on industry standards and may vary depending on the candidate's experience and skills.

📌 Applicant Insights

🔍 Company Context

Industry: Advertising Services

Company Size: 11-50 employees (Small to mid-sized agency environment, offering opportunities for growth and close collaboration)

Founded: 2015 (Relatively new agency with a growing client base)

Company Description:

• Strategic decision-making driven by data and insights
• Integrated marketing and communications agency
• Focus on turning marketing theory into data-fueled performance

Company Specialties:

• Data-driven marketing strategies
• Cross-functional team collaboration
• Actionable insights and reporting

Company Website: http://stripetheory.com

ASSUMPTION: Stripe Theory is a data-focused agency that emphasizes strategic decision-making based on actionable insights.

📊 Role Analysis

Career Level: Mid-level (2-5 years of experience)

Reporting Structure: This role reports directly to the Data & Insights Director and works closely with cross-functional teams, including strategists, creatives, and account managers.

Work Arrangement: Hybrid (A combination of remote work and on-site presence at the Midtown Atlanta office)

Growth Opportunities:

• Potential to advance to a senior or management role as the agency grows
• Chance to work on diverse projects and expand skillset
• Opportunities for professional development and training

ASSUMPTION: This role offers opportunities for growth and advancement within the agency, as well as the chance to work on a variety of projects and expand one's skillset.

🌍 Location & Work Environment

Office Type: Midtown Atlanta office (Hybrid work arrangement)

Office Location(s): 1200 Spring St NW, Atlanta, GA 30309

Geographic Context:

• Atlanta, GA (Diverse and vibrant city with a growing tech and startup scene)
• Midtown Atlanta (Urban area with easy access to public transportation and various amenities)
• Hybrid work arrangement (Flexibility to work both remotely and on-site)

Work Schedule: Full-time (40 hours per week, with a flexible hybrid work arrangement)

ASSUMPTION: The hybrid work arrangement offers a good balance between remote work and on-site collaboration, allowing for flexibility and a healthy work-life balance.

💼 Interview & Application Insights

Typical Process:

• Phone or video screen with the Hiring Manager
• In-person or virtual interview with the Data & Insights Director and a team member
• Take-home data analysis assignment
• Final interview with the agency's leadership team

Key Assessment Areas:

• Data analysis and interpretation skills
• Communication and presentation skills
• Problem-solving and critical thinking
• Cultural fit and team dynamics

Application Tips:

• Highlight relevant experience and skills in your resume and cover letter
• Tailor your application to demonstrate your understanding of the role and the agency's mission
• Prepare for data analysis questions and be ready to discuss your approach to problem-solving
• Showcase your ability to communicate complex data insights in a clear and concise manner

ATS Keywords: Marketing Data Analysis, Report Writing, ROI Analysis, Data Visualization, Tableau, Social Media Analytics, CRM Programs, E-commerce, Research Skills, Communication Skills, Interpersonal Skills, Multitasking, Data Collection, Crisis Reporting, Brainstorming

ASSUMPTION: The interview process for this role will likely focus on assessing the candidate's data analysis skills, communication abilities, and cultural fit within the agency.

🛠️ Tools & Technologies

• Excel, Google Sheets, or equivalent
• Tableau (Preferred)
• Social media platforms (Facebook, Twitter, LinkedIn, Instagram, YouTube, TikTok, Pinterest)
• CRM programs (e.g., Salesforce, HubSpot)
• E-commerce platforms (e.g., Shopify, Magento)
• Website analytics tools (e.g., Google Analytics)
• Email marketing platforms (e.g., Mailchimp, Constant Contact)

ASSUMPTION: Proficiency in Excel and an intermediate understanding of social media platforms and other marketing channels are required for this role. Familiarity with Tableau is highly preferred.

👔 Cultural Fit Considerations

Company Values:

• Data-driven decision making
• Collaboration and teamwork
• Continuous learning and improvement

Work Style:

• Analytical and detail-oriented
• Strong communication and presentation skills
• Ability to work independently and in a team environment
• Adaptable and eager to learn new tools and techniques

Self-Assessment Questions:

• Do you have a strong foundation in data analysis and interpretation?
• Can you effectively communicate complex data insights to non-technical stakeholders?
• Are you comfortable working in a fast-paced, collaborative agency environment?
• Do you thrive in a role that requires multitasking, prioritization, and adaptability?

ASSUMPTION: Stripe Theory values candidates who are strong data analysts, effective communicators, and adaptable team players.

⚠️ Potential Challenges

• Managing multiple projects and deadlines simultaneously
• Working with large and complex datasets
• Communicating data insights to non-technical stakeholders
• Keeping up with the fast-paced and ever-changing marketing landscape

ASSUMPTION: This role may present challenges in managing multiple projects and communicating complex data insights effectively.

📈 Similar Roles Comparison

• Compared to a traditional Marketing Analyst role, this position places a stronger emphasis on communication and presentation skills
• Unlike some data-focused roles, this position requires a solid understanding of various marketing channels and platforms
• This role offers opportunities for growth and advancement within the agency, as well as the chance to work on diverse projects

ASSUMPTION: This role combines data analysis and communication skills, making it unique compared to other marketing or data-focused positions.

📝 Sample Projects

• Analyzing social media campaign performance and providing actionable insights to optimize future campaigns
• Evaluating the ROI of various marketing channels and allocating resources accordingly
• Creating data-driven strategies to improve website traffic and conversions

ASSUMPTION: These sample projects demonstrate the variety of tasks and responsibilities associated with this role, highlighting the importance of both data analysis and communication skills.

❓ Key Questions to Ask During Interview

• Can you describe a typical day or week in this role?
• How does this role collaborate with other departments and teams within the agency?
• What opportunities are there for professional growth and development within the agency?
• How does the agency support work-life balance for its employees?
• Can you provide an example of a challenging data analysis project and how it was approached and solved?

ASSUMPTION: These interview questions aim to provide a better understanding of the day-to-day responsibilities, team dynamics, and growth opportunities associated with this role.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Tailor your resume and cover letter to highlight your relevant experience and skills
• Prepare for data analysis questions and be ready to discuss your approach to problem-solving
• Showcase your ability to communicate complex data insights in a clear and concise manner
• Follow up with the hiring manager one week after submitting your application

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