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Senior Marketing Science Analyst

Knix Wear

Knix Wear

Marketing & Communications, IT
Toronto, ON, Canada
Posted 6+ months ago
We are seeking a dynamic Senior Marketing Science Analyst with a strong emphasis with a strong background in Growth and Retention Analysis to join our team. This role requires a deep understanding of e-commerce and retail analytics, with a primary focus on driving strategic growth initiatives. The ideal candidate will excel in interpreting complex Marketing datasets and transforming them into actionable strategies to fuel business expansion.

About You

  • You’re a critical thinker and problem solver - you have a passion for exploring data and formulating insights to drive towards action.
  • You are an expert in partnering and earning trust with internal business leaders to drive and influence key business decisions.
  • You are adaptable and self-motivated.
  • You thrive working in a dynamic fast-paced environment – the hustle excites you.
  • Above all, you’re proactive, positive, and inspired by Knix and our mission.

The Opportunity

  • Conduct comprehensive analysis of sales, marketing, and customer data to uncover meaningful trends, untapped opportunities, and areas for optimization.
  • You will partner directly with Marketing leadership to define and execute against an analytical agenda that equips and empowers our Marketing program to set and achieve rigorous, ambitious goals.
  • Build datasets, produce emotive data visualizations and manage enterprise BI and reporting on marketing performance.
  • Identify and lead ad hoc analyses and randomized test vs. control on marketing channel performance across multiple outcomes to identify opportunities for improved marketing efficiency.
  • Set consistent standards for forecasting and tracking marketing spend (marketing campaign taxonomy), execution and performance across multiple marketing channel teams and finance groups.
  • Use data-driven insights to recommend optimizing marketing campaigns for better performance and ROI.

Qualifications

  • 3+ Years experience in a Marketing Analytics role.
  • Deep understanding on marketing attribution models (MTA, first/last click, MMM, incrementally testing), with 2+ years of hands-on experience in measuring the efficiency of marketing activities.
  • Extensive experience (5+ years) in e-commerce and retail data analysis, showcasing a track record of delivering actionable insights.
  • Strong in SQL and proficient in programing in a statistical language (R or Python).
  • Exceptional problem-solving skills coupled with attention to detail, ensuring accuracy and rigor in analysis.
  • Outstanding communication and collaboration skills, adept at distilling complex insights into clear, compelling narratives.