PUMA Group Logo

PUMA Group

Senior Manager Business Insights

Posted 20 Days Ago
In-Office or Remote
Hiring Remotely in Canada
Senior level
In-Office or Remote
Hiring Remotely in Canada
Senior level
Leads business insights for global eCommerce by analyzing commercial performance across merchandising, pricing, marketing, CRM, content, supply chain, and customer behavior. Identifies anomalies, root causes, risks, and opportunities through hypothesis-led analysis, then delivers prioritized recommendations and executive-ready data stories. Partners with cross-functional and market teams to support performance reviews, planning, and commercial decision-making.
The summary above was generated by AI

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.

Simply click APPLY ONLINE and follow the steps to upload your application.

YOUR MISSION

The analytical engine that powers commercial decision-making across Global eCommerce.


• Conducts deep-dive analysis across merchandising, pricing, promotions, demand, marketing, CRM, content,supply chain,customer behavior and purchase performance.

• Identifies performance drivers, quantifies opportunities and investigates business issues using structured, hypothesis-led analysis.

• Transforms complex findings into clear, actionable commercial recommendations for markets and global stakeholders.

• Supports performance reviews and planning with decision-ready visualization, strong data storytelling and evidence-based challenge.

• Understands decision driver trees across levers in Ecom and performs RCA to identify the key actions to unlock value

IDENTIFY - Monitor and identify anomalies and opportunity pockets in commercial performance impacting key metrics. Create tangible hypotheses for data deep dives.

ANALYZE - Explore commercial performance across markets, categories, channels, customers and the eCommerce funnel. Analyze across critical levers to create data validated statements.

DIAGNOSE - Use structured problem-solving to isolate root causes, relationships, risks and opportunities. Arrive at valid data backed conclusions which can be acted upon.

RECOMMEND - Convert findings into prioritized actions supported by impact sizing, evidence and business context.


KEY RESPONSIBILITIES:


COMMERCIAL PERFORMANCE ANALYSIS

• Analyze performance across revenue, traffic, conversion, average order value, margin, demand, returns, promotions and customer KPIs.

• Deep dive across merchandising, pricing, marketing, CRM, content and purchase behavior.

• Identify material trends, emerging risks and commercial opportunities.


ROOT-CAUSE & OPPORTUNITY ANALYSIS

• Apply driver trees, segmentation, cohort, funnel and variance analysis to explain performance changes.

• Form and test hypotheses, distinguish signal from noise and quantify the size of opportunities.

• Combine multiple data sources and business context into a coherent commercial view.


INSIGHT DEVELOPMENT & STORYTELLING

• Translate findings into clear, prioritized and commercially relevant recommendations.

• Create compelling, executive-ready narratives through data visualization and strong storytelling.

• Support market reviews, commercial planning and performance discussions with evidence-based inputs.

CROSS-FUNCTIONAL COLLABORATION

• Work with market teams and Merchandising, Pricing, Demand, Marketing, CRM, Content and Commercial Planning stakeholders.

• Align analytical scope, clarify business questions and communicate assumptions, limitations and implications.

• Contribute reusable analytical approaches and best practices to the Commercial Excellence team.

YOUR TALENT

EXPERIENCE REQUIREMENTS


• 6–8 years in Business Analytics, Commercial Analytics, eCommerce Analytics, Insights, Consulting or a related discipline.

• Experience in E-com sector mandatory with understanding of how each lever across merchandising, pricing, demand, marketing, CRM, content work together to drive commercial impact

• Strong experience working with complex datasets and translating findings into business recommendations..

• Hands-on proficiency in SQL, Power BI, Python or equivalent visualization tools, and advanced Excel.

• Experience in D2C brands, fashion retail, consumer retail, sportswear -digital-first or eCommerce brands is preferred.

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.

Similar Jobs

2 Hours Ago
Remote or Hybrid
6 Locations
Senior level
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead the design and implementation of deterministic and agentic security automation systems for Falcon Complete MDR. Build scalable services, data pipelines, integrations, and workflows that accelerate threat detection, investigation, triage, and response. Collaborate with analysts and engineering stakeholders, improve reliability and monitoring, participate in on-call rotations, mentor engineers, review designs and code, and establish technical standards for AI-powered security operations.
Top Skills: Agentic Ai SystemsAWSAzureC++Ci/CdCloud Observability ToolsCrowdstrike FalconDockerGCPGitGoJavaJavaScriptKafkaKubernetesLlmsOciPostgresPowershellPythonSIEMSoarUnix
2 Hours Ago
Remote or Hybrid
AB, CAN
Entry level
Entry level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Monitor, investigate, and respond to security detections across endpoint, identity, email, network, and cloud environments. Analyze EDR telemetry, logs, forensic artifacts, malware, and Microsoft 365 incidents to determine compromise scope and recommend remediation. Communicate findings and guidance to customers, improve detection and response processes, and use scripting and AI technologies to streamline investigations.
Top Skills: Active DirectoryBashEdrLinuxmacOSMicrosoft 365Microsoft Entra IdMitre Att&CkOktaPowershellPythonSIEMWindows
4 Hours Ago
Remote
Ontario, ON, CAN
Entry level
Entry level
Artificial Intelligence • Cloud • Information Technology • Consulting
Leads HPE’s Canadian Presales Engineering organization, setting strategy, managing budgets and resources, developing technical sales leaders, and driving revenue growth. Builds executive customer and partner relationships, aligns presales teams with sales and product organizations, influences product direction, and ensures operational excellence across Canada and global counterparts. The role requires strong business acumen, enterprise technology expertise, cross-functional leadership, and travel across Canada, the United States, and internationally.
Top Skills: AIEnterprise TechnologyHybrid CloudNetworking

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account