📌 Core Information
🔹 Job Title: Lead Analyst DTC E-Commerce Business & Marketing
🔹 Company: PUMA Group
🔹 Location: PUMA Boston Regional Office, United States
🔹 Job Type: Full-Time
🔹 Category: Retail, E-Commerce
🔹 Date Posted: May 2, 2025
🔹 Experience Level: 8+ Years
🔹 Remote Status: On-site
🚀 Job Overview
Key aspects of this role include:
- Performance analysis and insight generation for PUMA's e-commerce business
- Forecasting and financial planning to support business growth
- Reporting, tools, and data management to ensure data quality and accessibility
- Stakeholder engagement and communication to drive data-driven decision-making
- Leadership to foster a culture of learning, curiosity, and data-driven decision-making
ASSUMPTION: This role requires a strong analytical mindset, excellent communication skills, and the ability to work collaboratively with cross-functional teams to drive business performance.
📋 Key Responsibilities
✅ Lead in-depth analyses to evaluate the effectiveness of promotional tactics, performance marketing strategies, and overall business performance
✅ Identify and investigate gaps in plans, emerging channel trends, and new growth opportunities within the dotcom business
✅ Deliver longer-horizon analytical projects that uncover insights on customer acquisition, retention, and marketing incrementality
✅ Partner on the development and evolution of forecasting models across the business
✅ Manage forecasting assets for warehouse and call center operations, ensuring alignment with current and future needs
✅ Support the eCommerce budgeting process in collaboration with cross-functional partners as needed
✅ Build and maintain advanced reporting using SQL, Power BI/DAX, BigQuery, and other data tools
✅ Partner with data engineers and solution architects to continually develop our unified data model
✅ Oversee reporting best practices & governance, including the implementation of new reporting features and ongoing data quality monitoring
✅ Communicate findings in a clear and compelling way, delivering business-ready insights tailored to both senior leaders and operational teams
✅ Act as a thought partner by developing a deep understanding of performance marketing KPIs and using data to guide decision-making
✅ Set analytical best practices and foster a culture of learning, curiosity, and data-driven decision-making across the team
ASSUMPTION: This role requires a strong analytical mindset, excellent communication skills, and the ability to work collaboratively with cross-functional teams to drive business performance.
🎯 Required Qualifications
Education: Bachelor's degree in Business, Marketing, Statistics, Mathematics, or a related field
Experience: 8+ years of experience in Business and/or Marketing Analytics
Required Skills:
- SQL Query skills to mine GCP/BigQuery DBs for use in custom reporting
- Expertise in Google Analytics and deep knowledge of Marketing performance reporting
- Experience with Enterprise reporting solutions such as Looker Studio, and Power BI
- Familiarity with tracking and creating technical requirements for collecting data, and implementing tracking in a Tag Manager
- Able to derive meaning from data and present clearly to the business at various levels
- Expertise in Data Visualization and presentation
- Mastery of Google Functions for use in Looker Studio report building
- Ability with predictive and statistical models for use in business forecasting
Preferred Skills:
- Experience with GCP/BigQuery
- Knowledge of Python or R for data analysis
- Experience with data storytelling and presentation
ASSUMPTION: Strong analytical skills, proficiency in data visualization tools, and experience with SQL and Google Analytics are essential for this role. Familiarity with GCP/BigQuery and predictive modeling is a plus.
💰 Compensation & Benefits
Salary Range: $120,000 - $160,000 per year (based on industry standards for a Lead Analyst role in the United States)
Benefits:
- Health, dental, and vision insurance
- Retirement savings plan with company match
- Paid time off (vacation, sick, and holidays)
- Employee discounts on PUMA products
- Tuition assistance and professional development opportunities
Working Hours: Full-time, Monday - Friday, 9:00 AM - 5:00 PM (with flexibility for remote work)
ASSUMPTION: The salary range is an estimate based on industry standards for a Lead Analyst role in the United States. Benefits may vary based on the employee's location and role.
📌 Applicant Insights
🔍 Company Context
Industry: Retail, focusing on athletic footwear, apparel, and accessories
Company Size: 10,001+ employees (global), with a decentralized organizational structure
Founded: 1948, in Herzogenaurach, Germany
Company Description:
- PUMA is one of the world’s leading sports brands, designing, developing, selling, and marketing footwear, apparel, and accessories
- PUMA offers performance and sport-inspired lifestyle products in categories such as Football, Running, Training, Basketball, Golf, and Motorsports
- PUMA collaborates with renowned designers and brands to bring sport influences into street culture and fashion
Company Specialties:
- Footwear design and manufacturing
- Apparel design and manufacturing
- Accessories design and manufacturing
- Performance marketing and advertising
- Retail operations and management
Company Website: http://about.puma.com/en/careers
ASSUMPTION: PUMA is a global company with a strong presence in the athletic footwear and apparel market. The company's decentralized structure allows for regional autonomy and flexibility.
📊 Role Analysis
Career Level: Mid-level to senior, with opportunities for growth and advancement within the analytics and business functions
Reporting Structure: This role reports directly to the Head of E-Commerce Business & Marketing and works closely with cross-functional teams, including marketing, sales, and operations
Work Arrangement: On-site, with flexibility for remote work and hybrid arrangements as needed
Growth Opportunities:
- Advancement to a senior or management role within the analytics or business functions
- Expansion of responsibilities to include additional regions or categories
- Opportunities to work on special projects or initiatives
ASSUMPTION: This role offers opportunities for career growth and development within the analytics and business functions at PUMA. The role's success depends on strong analytical skills, excellent communication, and the ability to work collaboratively with cross-functional teams.
🌍 Location & Work Environment
Office Type: Corporate office environment with a casual dress code
Office Location(s): PUMA Boston Regional Office, United States
Geographic Context:
- The PUMA Boston Regional Office is located in the northeastern United States, with a competitive job market and a strong focus on the retail and e-commerce industries
- The region offers a diverse range of cultural, recreational, and educational opportunities
- The office is easily accessible by public transportation and has ample parking for those who drive
Work Schedule: Full-time, Monday - Friday, 9:00 AM - 5:00 PM (with flexibility for remote work)
ASSUMPTION: The PUMA Boston Regional Office offers a dynamic and collaborative work environment with a strong focus on data-driven decision-making and innovation.
💼 Interview & Application Insights
Typical Process:
- Online application and resume submission
- Phone or video screen with the hiring manager
- On-site or virtual interview with the hiring manager and cross-functional team members
- Final interview with the Head of E-Commerce Business & Marketing
Key Assessment Areas:
- Analytical skills and problem-solving abilities
- Communication and presentation skills
- Collaboration and teamwork skills
- Cultural fit and alignment with PUMA's values
Application Tips:
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role
- Be prepared to discuss your approach to data analysis, visualization, and storytelling
- Demonstrate your understanding of PUMA's business and the retail/e-commerce industry
ATS Keywords: SQL, Google Analytics, Marketing Performance Reporting, Enterprise Reporting Solutions, Data Visualization, Predictive Models, Statistical Models, Power BI, BigQuery, Customer Acquisition, Retention Strategies
ASSUMPTION: The application process for this role is competitive, and strong analytical skills, excellent communication, and a strategic mindset are essential for success.
🛠️ Tools & Technologies
- SQL
- Google Analytics
- Power BI/DAX
- BigQuery
- Looker Studio
- Tag Manager
- Python or R (preferred)
ASSUMPTION: Proficiency in SQL, Google Analytics, and Power BI/DAX is required for this role. Familiarity with BigQuery, Looker Studio, and Tag Manager is preferred.
👔 Cultural Fit Considerations
Company Values:
- Be Driven: PUMA encourages its employees to be passionate, proactive, and committed to driving results
- Be Vibrant: PUMA fosters a culture of creativity, innovation, and self-expression
- Be Together: PUMA promotes collaboration, teamwork, and a sense of community among its employees
- Be You: PUMA values individuality, diversity, and authenticity in its employees
Work Style:
- Data-driven and analytical
- Collaborative and team-oriented
- Adaptable and responsive to change
- Results-focused and goal-oriented
Self-Assessment Questions:
- How do you approach data analysis and visualization to tell a compelling story?
- Can you describe a time when you collaborated with cross-functional teams to drive business results?
- How do you stay up-to-date with industry trends and best practices in data analysis and marketing?
ASSUMPTION: Strong analytical skills, excellent communication, and a strategic mindset are essential for success in this role. Candidates should be able to demonstrate their ability to work collaboratively with cross-functional teams and align with PUMA's values.
⚠️ Potential Challenges
- Working with large and complex datasets, requiring strong analytical skills and attention to detail
- Balancing multiple priorities and projects, requiring strong time management and organizational skills
- Collaborating with cross-functional teams, requiring strong communication and interpersonal skills
- Keeping up with industry trends and best practices in data analysis and marketing, requiring continuous learning and development
ASSUMPTION: This role presents unique challenges and opportunities for growth and development within the analytics and business functions at PUMA.
📈 Similar Roles Comparison
- Compared to other Lead Analyst roles, this position places a greater emphasis on collaboration and stakeholder engagement, requiring strong communication and interpersonal skills
- In the retail/e-commerce industry, this role requires a strong understanding of marketing performance reporting and customer acquisition/retention strategies
- Career progression in this role may involve expanding responsibilities to include additional regions or categories, or advancing to a senior or management role within the analytics or business functions
ASSUMPTION: This role offers unique opportunities for career growth and development within the analytics and business functions at PUMA, with a focus on collaboration, stakeholder engagement, and data-driven decision-making.
📝 Sample Projects
- Analyzing customer acquisition costs and return on investment (ROI) for various marketing channels to optimize spending and improve overall profitability
- Developing predictive models to forecast future sales and identify trends in customer behavior
- Creating interactive dashboards and reports to communicate insights and drive data-driven decision-making across the organization
ASSUMPTION: These sample projects illustrate the range of analytical and reporting responsibilities for this role, requiring strong analytical skills, excellent communication, and a strategic mindset.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and dynamics within the E-Commerce Business & Marketing function?
- How does this role collaborate with other departments, such as Marketing, Sales, and Operations?
- What are the key priorities for this role in the first 30, 60, and 90 days?
- How does PUMA support the professional development and growth of its employees within the analytics and business functions?
- What are the key performance indicators (KPIs) and metrics used to measure success in this role?
ASSUMPTION: Asking these questions demonstrates a strong interest in the role and a strategic mindset, helping to differentiate you from other candidates.
📌 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 for this role
- Prepare for your interview by researching PUMA's business, the retail/e-commerce industry, and data analysis best practices
- Practice your data visualization and storytelling skills, using real-world examples to demonstrate your approach
- Follow up with the hiring manager one week after your interview to express your continued interest in the role
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
