S

Lead Analyst, Marketing Analytics

StockX
Full-time
Remote
Worldwide

πŸ“Œ Core Information

πŸ”Ή Job Title: Lead Analyst, Marketing Analytics

πŸ”Ή Company: StockX

πŸ”Ή Location: Remote, USA

πŸ”Ή Job Type: Full-time

πŸ”Ή Category: Marketing

πŸ”Ή Date Posted: June 30, 2025

πŸ”Ή Experience Level: Mid-Senior level

πŸ”Ή Remote Status: Fully Remote

πŸš€ Job Overview

Key aspects of this role include:

  • Transforming global marketing data for 220 million annual visitors across 200+ countries
  • Driving data-driven decisions to optimize marketing strategies and improve ROI
  • Collaborating with cross-functional teams to align marketing analytics with overall business objectives
  • Leading the development and implementation of advanced analytics solutions

ASSUMPTION: This role requires a high level of independence and self-motivation, as well as strong communication skills to work effectively with various teams.

πŸ“‹ Key Responsibilities

βœ… Lead marketing analytics projects, ensuring timely delivery and high-quality results

βœ… Develop and maintain comprehensive marketing dashboards and reports to track key performance indicators (KPIs) across various channels

βœ… Conduct in-depth analysis of marketing campaign performance, identifying trends, patterns, and opportunities for optimization

βœ… Analyze customer behavior and segmentation to understand audience preferences and tailor marketing strategies

βœ… Perform A/B testing and multivariate analysis to evaluate channel effectiveness and optimize conversion rates

βœ… Provide regular updates and insights to marketing leadership, highlighting key findings and recommendations

βœ… Translate complex data into clear, actionable insights that inform marketing strategy and decision-making

βœ… Develop and present data-driven recommendations to optimize marketing spend and improve ROI

βœ… Collaborate with cross-functional teams to align marketing analytics with overall business objectives

βœ… Proactively identify opportunities to leverage data and analytics to enhance marketing effectiveness

βœ… Forecast future marketing performance based on historical data and market trends

ASSUMPTION: This role may require occasional work outside of regular business hours to meet project deadlines or address urgent analytical needs.

🎯 Required Qualifications

Education: Bachelor's degree in Statistics, Mathematics, Economics, Marketing, or a related field (Master's degree preferred)

Experience: 5+ years of experience in marketing analytics and experimentation, with a proven track record of driving data-driven results

Required Skills:

  • Strong proficiency in data analysis tools and techniques, including SQL, Python, R, and data visualization tools (e.g., Tableau, Looker)
  • Expertise in web analytics platforms (e.g., Segment, Google Analytics, Adobe Analytics)
  • Excellent understanding of marketing metrics and KPIs (e.g., CAC, LTV, ROAS, conversion rates)
  • Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights
  • Excellent communication and presentation skills, with the ability to convey technical information to non-technical audiences
  • Ability to work independently and as part of a team in a fast-paced environment

Preferred Skills:

  • Experience with statistical modeling and machine learning

ASSUMPTION: Candidates with relevant industry experience and a strong portfolio of data-driven projects will be given preference.

πŸ’° Compensation & Benefits

Salary Range: $120,000 to $145,000 USD per year, dependent on geography and experience

Benefits:

  • Medical
  • Dental
  • Equity
  • Discretionary bonuses

Working Hours: Full-time, with flexible hours and the ability to work remotely

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

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: StockX is a Detroit-based technology leader focused on the large and growing online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. The company's powerful platform connects buyers and sellers using dynamic pricing mechanics, affording access and market visibility powered by real-time data.

Company Size: StockX has 1,001-5,000 employees, providing a mid-sized company environment with ample opportunities for growth and collaboration.

Founded: StockX was founded in 2016 and has since grown to employ over 1,000 people across offices and verification centers around the world.

Company Description:

  • StockX is a global platform that connects buyers and sellers of high-demand consumer goods
  • The company's dynamic pricing mechanics and real-time data empower buyers and sellers to determine and transact based on market value
  • StockX features hundreds of brands across various verticals, including Jordan Brand, adidas, Nike, Supreme, BAPE, Off-White, Louis Vuitton, Gucci, LEGO, KAWS, Bearbrick, Pop Mart, Sony, Microsoft, Meta, and Apple

Company Specialties:

  • Operations
  • Internet
  • e-Commerce
  • and Retail

Company Website: stockx.com

ASSUMPTION: StockX's unique business model and global presence offer candidates the opportunity to work on diverse and impactful marketing projects.

πŸ“Š Role Analysis

Career Level: This role is suitable for experienced marketing analytics professionals seeking to advance their careers in a dynamic and growing company.

Reporting Structure: The Lead Analyst, Marketing Analytics will report directly to the Director of Marketing Analytics and collaborate with various cross-functional teams, including marketing, finance, product, and data engineering.

Work Arrangement: This role is fully remote, allowing for flexibility and a better work-life balance.

Growth Opportunities:

  • Potential to lead a team of marketing analysts as the company continues to grow
  • Opportunities to work on high-impact projects and drive strategic decision-making
  • Chance to develop expertise in advanced analytics techniques and tools

ASSUMPTION: Successful candidates will have a strong desire to learn, grow, and take on new challenges in a fast-paced environment.

🌍 Location & Work Environment

Office Type: Remote work environment with occasional virtual team meetings and collaboration sessions

Office Location(s): Remote, USA

Geographic Context:

  • StockX's global customer base spans over 200 countries, providing a diverse and international perspective on marketing analytics
  • The company's headquarters are in Detroit, Michigan, with additional offices and verification centers around the world
  • The remote work arrangement allows for flexibility and the ability to work from various locations

Work Schedule: Full-time, with flexible hours and the ability to work remotely

ASSUMPTION: Candidates should be comfortable working independently and managing their time effectively in a remote work environment.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Online application submission
  • Phone or video screen with the hiring manager
  • Technical assessment or case study
  • Final interview with the marketing leadership team

Key Assessment Areas:

  • Data analysis and problem-solving skills
  • Communication and presentation skills
  • Cultural fit and alignment with StockX's values

Application Tips:

  • Tailor your resume and cover letter to highlight your relevant marketing analytics experience and skills
  • Prepare a portfolio or examples of your previous data analysis projects, focusing on those that demonstrate your ability to drive data-driven results
  • Research StockX's business model and unique value proposition to show your enthusiasm for the role and the company

ATS Keywords: Marketing Analytics, Lead Analyst, Data Analysis, SQL, Python, R, Data Visualization, Web Analytics, Google Analytics, Adobe Analytics, Marketing Metrics, A/B Testing, Statistical Modeling, Machine Learning, Communication, Problem Solving

ASSUMPTION: StockX's hiring process is designed to assess candidates' technical skills, cultural fit, and alignment with the company's mission and values.

πŸ› οΈ Tools & Technologies

  • SQL
  • Python
  • R
  • Data visualization tools (e.g., Tableau, Looker)
  • Web analytics platforms (e.g., Segment, Google Analytics, Adobe Analytics)

ASSUMPTION: Candidates should have a strong proficiency in the listed tools and be eager to learn and adopt new technologies as needed.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Customer-centric
  • Data-driven
  • Innovative
  • Collaborative
  • Inclusive

Work Style:

  • Fast-paced and dynamic
  • Results-oriented and data-driven
  • Collaborative and team-focused
  • Adaptable and open to change

Self-Assessment Questions:

  • Do you thrive in a fast-paced, dynamic work environment?
  • Are you comfortable working independently and managing your time effectively?
  • Do you have a strong desire to learn, grow, and take on new challenges?
  • Are you passionate about using data to drive strategic decision-making?

ASSUMPTION: Successful candidates will be able to demonstrate a strong cultural fit with StockX's values and work style.

⚠️ Potential Challenges

  • Working with large, complex datasets and ensuring data accuracy and integrity
  • Balancing multiple projects and priorities in a fast-paced environment
  • Communicating complex data insights to non-technical stakeholders effectively
  • Keeping up with the latest marketing trends and technologies

ASSUMPTION: Candidates should be prepared to face these challenges head-on and demonstrate their ability to overcome them through their problem-solving skills and resilience.

πŸ“ˆ Similar Roles Comparison

  • Compared to similar roles in other companies, this position offers a unique opportunity to work on a global scale and drive data-driven results for a dynamic and growing e-commerce platform
  • StockX's focus on data-driven decision-making and innovative pricing mechanics sets it apart from traditional e-commerce companies
  • This role provides ample opportunities for career growth and development within a mid-sized company environment

ASSUMPTION: Candidates should research similar roles in the industry to understand the unique aspects of this opportunity and how it aligns with their career goals.

πŸ“ Sample Projects

  • Developing and implementing a comprehensive marketing dashboard to track KPIs across various channels
  • Conducting a customer segmentation analysis to identify high-value audience segments and tailor marketing strategies
  • Performing an A/B testing analysis to optimize conversion rates for a high-traffic marketing campaign

ASSUMPTION: Candidates should be prepared to discuss their previous data analysis projects and how they align with the responsibilities and requirements of this role.

❓ Key Questions to Ask During Interview

  • Can you describe the team structure and dynamics within the Marketing department?
  • How does StockX approach data governance and quality assurance for marketing analytics?
  • What are the most pressing marketing challenges facing the company, and how can this role contribute to addressing them?
  • What opportunities exist for professional development and growth within the Marketing Analytics team?
  • How does StockX foster a culture of innovation and continuous learning?

ASSUMPTION: Candidates should prepare thoughtful and insightful questions to demonstrate their interest in the role and the company.

πŸ“Œ 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 marketing analytics experience and skills
  • Prepare a portfolio or examples of your previous data analysis projects, focusing on those that demonstrate your ability to drive data-driven results
  • Research StockX's business model and unique value proposition to show your enthusiasm for the role and the company
  • Follow up with the hiring manager one week after your final interview to express your continued interest in the position

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