Styletyx , South Australia, Australia gefunden vor 3 Tagen

Senior Data Analyst • Remote

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Remote

Senior Data Analyst

Styletyx is a global fashion tech company and shopping app. We offer our customers the largest assortment of branded clothes in one place. We have a deep appreciation for the wonders of fashion, but we understand that shopping for it can sometimes be a challenging experience. That's where we come in! With our cutting-edge technology, vast data resources, and a touch of creativity, we strive to revolutionize the way people shop for fashion. Our mission is to bring boundless joy to our customers, offering them a diverse selection of choices while minimizing the chances of any shopping mishaps. If you're passionate about fashion and want to be part of a team that makes a real difference in people's lives, join us on this exciting journey! We are a scaling-up business and looking for a Senior Data Analyst.

About The Role

Drive data focused product development across the company by creating, managing and researching new ways to use data. You will formulate product questions and answer them using a wide range of tools and techniques.

Requirements

  • 4+ years of experience in data-related work
  • Strong knowledge of statistics and probability is a must
  • Proficiency in Python, SQL, or any other programming language and DB
  • Experience with visualization tools like Tableau or similar tools
  • Experience with A/B testing

Nice to have

  • Familiarity with data structures and algorithms would be a plus

Responsibilities

  • Selection and calculation of product metrics and business metrics when implementing projects/product features
  • Search for reasons for strong deviations of key metrics, as well as points of growth and product development directions; assessment of potential profit from projects or product features
  • Maintaining documentation of the analytics system in the company's knowledge base as part of its product
  • Conducting A / B testing - participation in the development of conditions for conducting and interpreting the results
  • Making recommendations for improving the product and finding optimal solutions to improve the convenience of interaction between the user and the product
  • Conducting ad-hoc analytics to support product decision makingInteract with all teams of the Data Department, to optimize data flows, control the quality and integrity of product data, create data marts for the product

We offer

  • Health insurance
  • GYM membership
  • Professional development
  • Flat company structure
  • Pioneering mindset of innovative people around
  • Competitive and dynamic salary system
  • Immediate insight into the efficiency of your contributions

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