Director of Data and Personalization

4 weeks ago

Old Toronto, Ontario, Canada Knix Full time

At Knix, we're revolutionizing the apparel industry with our best-in-class customer experience, innovative products, and brands Knix and Kt by Knix. We're seeking a seasoned professional to spearhead our data-driven initiatives and drive customer engagement across our omnichannel retail landscape.

Key Responsibilities:
  • Develop and implement data-driven strategies to enhance customer engagement and optimize loyalty programs, aligning with omni-channel retail goals.
  • Lead a high-performing team of data analysts, data scientists, and business insights professionals, fostering innovation, collaboration, and growth.
  • Ensure the right selection and integration of software solutions to enable value creation through better marketing investments decision making.
  • Analyze loyalty program data to identify growth opportunities and optimize customer experiences, driving increased participation.
  • Implement attribution models to assess the impact of marketing campaigns across various channels and optimize marketing spend.
  • Lead initiatives to analyze customer cohorts behaviors and enhance personalized marketing to improve customer experiences in collaboration with UX/UI teams.
  • Define KPIs, monitor performance, and report insights to executive leadership, supporting data-driven decision-making.
  • Conduct market and competitor analysis to inform strategic decisions and maintain a competitive edge.
  • Collaborate with cross-functional teams to align analytics strategies with business objectives and facilitate data-driven insights.
About You:
  • 7-10 years of experience within data analytics, data science, and BI within a DTC business, with experience in a leadership capacity at the Director level.
  • Extensive experience leading analytics, data science, and business insights teams within omni-channel retail.
  • Proven leadership ability to build, manage, and develop high-performing teams.
  • Strong command of analytics tools, attribution modeling, and loyalty program optimization techniques.
  • Deep understanding of digital analytics and the application of data science to solve business challenges.
  • Excellent communication skills, with the ability to translate complex data concepts into actionable business strategies.
  • Strong storyteller capable of delivering insights to C-suite executives.
  • Proficient in statistical methods, Python, and R.
  • Proven ability to organize work, follow-through, and manage internal customers.

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