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Staff Data Analyst - Pricing and Retail Analytics

Coupang · Singapour

New
Senior 🇬🇧 English
SQL Python Tableau PowerBI Hadoop Spark Airflow GitHub

Job description

About the role

Coupang is looking for a Staff Data Analyst for Pricing and Retail Analytics. You will sit at the heart of its data-driven decision-making, ensuring the quality of regular reports and metrics, driving insights and supporting system-wide decision-making algorithms. You will work with cross-functional teams across Pricing, Retail Commerce, 3P Commerce and Promotions, and own projects from start to finish.

Key responsibilities

  • Design, develop and maintain decision-making systems focused on pricing strategies, and analyse data to identify trends and drive business insights.
  • Improve Pricing/Promotion reports and systems, keeping them accurate and timely.
  • Contribute to strategic planning with data insights, shaping metrics, product features and business strategies.
  • Solve complex problems with urgency and minimal supervision, using data to influence product development and business strategy.
  • Lead end-to-end projects across pricing, retail and promotions, clarifying requirements and aligning objectives.
  • Translate complex data into clear, actionable insights for technical and non-technical stakeholders.
  • Share knowledge and foster a high-performing team culture.

Required profile

  • 8+ years of industry experience in business analytics and a degree in a quantitative field.
  • Ability to think systematically, manage multiple tasks and projects, and document processes clearly.
  • Strong product sense and problem-solving skills, able to work independently in a fast-paced environment.
  • Excellent verbal and written communication, able to present complex data to stakeholders at all levels.

Required skills

  • Expert-level SQL for data extraction, manipulation and analysis.
  • Familiarity with Python, R or similar languages; strong data visualization skills with Tableau, PowerBI or similar.
  • Understanding of statistical analysis and algorithm design.
  • Preferred: Master's or PhD in a quantitative field, retail/e-commerce experience, familiarity with pricing strategies, big data tools such as Hadoop and Spark, Airflow and GitHub, and experience influencing decisions at the strategic level.

The role is open to Singapore Citizens and Permanent Residents only. The recruitment process consists of an application review, a job-fit interview and a focus interview, followed by an offer.

Questions fréquentes

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Published 11 hours ago

Expires 1 month from now

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Coupang

Singapour