Senior Quantitative Analyst

4 days ago


Auckland, Auckland, New Zealand Tracksuit Full time

We're seeking a Strategic Data Leader to join our team at Tracksuit. As a high-impact Senior Data Scientist, you'll play a pivotal role in shaping the future of our data-driven solutions for agencies and strategic partners.

You'll have the opportunity to combine your technical expertise with commercial acumen to build products and develop thought leadership that empowers our partners and elevates Tracksuit's influence in the brand landscape.

Key Responsibilities:
  • Product Development: Define and curate Tracksuit's brand dataset, working closely with our Research team to deepen our brand data moat. Build insights platforms for agencies and partners, making data accessible, relevant, and actionable.
  • Thought Leadership: Establish Tracksuit's reputation by answering pressing questions in the brand-building landscape and creating compelling, actionable insights for the brand-building community.
  • Strategic Partnerships: Collaborate with partners like Google, TikTok, and Meta to design and execute experiments that drive measurable value for partners and Tracksuit.
Requirements:
  • 4+ years of experience as a Data Scientist, ideally with product development experience in marketing agencies or advertising platforms.
  • Mastery of SQL and a scripting language like Python or R, with experience conducting sophisticated statistical analyses and crafting compelling narratives and visualisations from data.
  • Strong experience productising analyses-as-a-product, with an end-to-end understanding of querying, analysis, and prototyping.
  • Expertise in survey data, with a clear understanding of its capabilities and limitations & familiarity with Generative AI and its application in product development.
  • Strong product & commercial acumen, with the ability to contribute to product vision and deliver impactful solutions.
  • Influence & collaboration: Exceptional communication skills that include the ability to simplify complex concepts for diverse audiences and make data-driven recommendations.


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