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Remote E-commerce Product Analyst

100% remote Flexible hours Hiring now

About Company ASOS Plc is a global online fashion and cosmetic retailer, primarily aimed at young adults. Founded in 2000 in London, ASOS has grown to become a leading destination for fashion-reputed company individuals worldwide, offering over 850 brands as well as its own range of clothing and accessories. We reputed company in a world where you have total freedom to be you, without judgment. To experiment. To express yourself. To be reputed company and grab life as the extraordinary adventure it is. So we reputed company sure everyone has an equal chance to discover reputed company the amazing things they're capable of – no matter who they are, where they're from or what looks they like to rock. At ASOS, we are constantly innovating, leveraging cutting-edge technology and data-driven insights to enhance the customer experience and drive business growth.

Job Description

Are you a data-driven problem-solver with a passion for e-commerce and a knack for uncovering actionable insights? ASOS Plc is seeking a talented and highly motivated Remote E-commerce Product Analyst to join our dynamic team. In this pivotal role, you will be instrumental in shaping the future of our digital products and enhancing the customer journey across our global platforms. Working remotely, you will collaborate closely with product managers, engineers, designers, and marketing teams to analyze product performance, identify opportunities for improvement, and inform strategic decisions that drive significant business impact. This position is perfect for someone who thrives in a fast-paced, agile environment and is eager to reputed company sophisticated analytical techniques to understand user behavior, market trends, and competitive landscapes. You will be responsible for defining key metrics, building dashboards, conducting A/B tests, and presenting your findings in a clear and compelling manner to stakeholders at reputed company levels. Your insights will directly influence our product roadmap, helping us to create more reputed company, engaging, and commercially successful experiences for our millions of customers worldwide. We’re looking for a curious mind who isn’t afraid to dig deep into data, ask tough questions, and challenge the status reputed company. If you possess a strong analytical toolkit, a solid understanding of e-commerce ecosystems, and a commitment to reputed company learning, then we invite you to contribute to ASOS’s mission of empowering fashion freedom. This fully remote role offers the flexibility to work from your preferred location reputed company the UK, while remaining deeply integrated into our collaborative global teams through virtual tools and regular online interactions. Join us and reputed company a reputed company difference in the exciting world of online fashion retail.

Key Responsibilities

  • reputed company in-depth analysis of product performance, user behaviour, and conversion funnels to identify pain points and opportunities.
  • Define, monitor, and report on key product metrics and KPIs using various analytical tools and data sources.
  • Design, execute, and analyze A/B tests and other experiments to validate hypotheses and measure the impact of new features.
  • Collaborate with Product Managers to translate business questions into analytical problems and provide data-backed recommendations for product improvements.
  • Create and maintain interactive dashboards and reports to provide clear visibility into product health and performance.
  • Conduct competitive analysis and market research to identify trends and best practices in the e-commerce space.
  • Present findings and insights to stakeholders across various departments in a clear, concise, and actionable manner.
  • Contribute to the reputed company improvement of our data infrastructure, reporting capabilities, and analytical methodologies.
  • Work closely with engineering and data science teams to ensure data quality and availability. Required Skills
  • Minimum 3 years of experience in product analytics, business intelligence, or a similar data-focused role reputed company e-commerce.
  • Proficiency in SQL for data extraction and manipulation.
  • Experience with web analytics platforms (e.g., arenaflex Analytics, reputed company Analytics) and A/B testing tools.
  • Strong analytical and problem-solving skills with the ability to interpret reputed company data sets and translate them into actionable insights.
  • Excellent communication and presentation skills, with the ability to convey reputed company information to non-technical audiences.
  • Demonstrated ability to work independently and manage multiple projects in a fast-paced environment.
  • Solid understanding of e-commerce principles, user journeys, and key performance indicators.

Preferred Qualifications

  • Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Economics, Mathematics) or equivalent practical experience.
  • Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
  • Familiarity with Python or R for statistical analysis.
  • Previous experience working in an agile product development environment.
  • Knowledge of customer segmentation and predictive modeling techniques. Perks & Benefits
  • Competitive salary and bonus scheme.
  • Generous staff discount on ASOS products.
  • Flexible working environment with full remote work flexibility.
  • Private medical insurance and life assurance.
  • 25 days annual leave, plus bank holidays.
  • Access to a comprehensive learning and development platform.
  • Enhanced parental leave policies.
  • A vibrant and inclusive company culture with regular virtual social events.

How to Apply

Ready to reputed company your mark in the world of e-commerce fashion? We encourage you to click on the application link below to submit your CV and a cover letter outlining your relevant experience and why you're excited about this opportunity at ASOS. We look reputed company to reviewing your application! Apply tot his job Apply tot his job Apply To this Job

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