Junior Data Analyst Global DTC

SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and to let our individual talent and experience shine. Applying for a job at PUMA is easy.

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YOUR MISSION

As a Junior Manager, Data Analyst. part of the DTC Tech Data & Analytics Platforms team, you will play a key role in transforming data into actionable insights and scalable solutions that drive performance for our direct-to-consumer channels. You will collaborate with cross-functional teams to develop analytical frameworks, reports, and data products tailored to retail and ecommerce, ensuring alignment with the organization’s DTC strategy. Your work will help foster a culture of data-driven decision-making and innovation in the retail space.

Your responsibilities will be:

Retail Data Analysis & Insights Delivery

• Design, develop, and maintain analytical models, reports, and dashboards to address key retail business questions (e.g., sales performance, inventory optimization).

• Collaborate with data engineers, and business stakeholders to identify opportunities for data-driven improvements in the retail customer journey, marketing, and operations.

• Ensure the delivery of accurate, timely, and actionable insights that support retail strategy, tactical decision-making, and operational efficiency.

Technical Leadership & Best Practices

• Apply best practices in retail data analysis, statistical methods, and data visualization to ensure clear, reproducible, and impactful outputs for DTC channels.

• Stay informed about emerging trends, tools, and methodologies in retail analytics, BI, and ecommerce, and share relevant insights within the Tech DTC team.

• Contribute to the development of internal documentation, standards, and knowledge-sharing initiatives to uplift the team’s retail analytics capabilities.

Stakeholder Collaboration & Communication

• Partner with cross-functional teams (e.g., retail, marketing, product, engineering) to understand data needs, challenges, and opportunities specific to DTC channels.

• Translate retail-focused analytical findings into clear, accessible narratives for both technical and non-technical stakeholders.

• Support the presentation of insights, recommendations, and data stories to drive understanding and action across retail and Tech DTC teams.

Project & Initiative Support

• Assist in the prioritization and execution of retail data analysis initiatives, ensuring alignment with DTC business objectives and resource allocation.

• Contribute to the development of the Tech DTC team’s roadmap and strategic vision, providing input on project feasibility, timelines, and potential impact on retail performance.

YOUR TALENT

Technical Expertise

• Foundational knowledge of retail data analysis, statistical methods, and data visualization

• Proficiency in tools such as SQL, Excel, and BI platforms (Power BI, Looker). Familiarity with Python or R is a plus.

• Experience with cloud platforms is beneficial.

Collaboration & Communication

• Strong communication and interpersonal skills, with the ability to collaborate effectively across retail, tech, and business teams.

• Ability to translate retail business challenges into analytical opportunities and deliver outcomes aligned with DTC goals.

• Developing storytelling and presentation skills, with the ability to engage and inform diverse audiences about retail insights.

Problem-Solving & Innovation

• Ability to develop practical, data-driven solutions that address retail and DTC-specific problems (e.g., demand forecasting, customer segmentation, pricing optimization).

• Track record of contributing to projects with measurable outcomes in a retail or ecommerce context.

• Adaptability and a growth mindset, with a commitment to continuous learning and improvement in the fast-paced DTC environment.

Education & Experience

• Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, Economics, or Business Analytics. Advanced degrees are a plus.

• 1–3 years of experience in a data analysis or analytics role, preferably with exposure to retail, E-Commerce, or DTC business models.

• Experience working in cross-functional teams and collaborating with stakeholders to support data-informed decisions in a retail context.

• Familiarity with retail industry trends, customer behavior, and DTC challenges is a strong plus.

PUMA provides equal opportunities for all job applicants, regardless of race, color, religion, national origin, sex,

gender identity or expression, sexual orientation, age, or disability. Equality for all is one of the core principles at

PUMA and we do not tolerate any form of harassment or discrimination.

At PUMA, every application is reviewed by real people who are committed to fairness, transparency, and equal

opportunity - no matter your background, identity, or experience.To ensure our process stays true to these values, no automated systems or AI tools are used to make hiring decisions. Every decision is made by real people -with real judgment and accountability. We may use functions supported by Artificial Intelligence (AI) to carry out isolated organizational steps, such as scheduling interviews. These functions have no influence on decisions in the application process. We believe in creating spaces where everyone is welcome, celebrated, and empowered to contribute authentically. Because at PUMA, whoever wants to play, can play.

PUMA is a global sports brand creating footwear, apparel, and accessories that inspire athletes and everyday movers. The PUMA Group owns PUMA, Cobra Golf, and stichd, operates in 120+ countries, and has around 22,000

employees worldwide.