обновлено 28 дней назад
Staff Data Analyst (Pricing)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Analyst (Pricing) (E-commerce): Designing and maintaining pricing decision-making systems, reports, and metrics while translating business data into actionable insights with an accent on statistical analysis, algorithm design, and cross-functional analytics. Focus on leading end-to-end pricing and promotions projects, solving complex business problems, and influencing product and operational strategy through data.
Location: Singapore, Singapore. Open to Singapore Citizens and Permanent Residents only.
Company
is a fast-growing e-commerce company building technology-driven shopping, food, and lifestyle services.
What you will do
- Design, develop, and maintain decision-making systems focused on pricing strategies.
- Analyze business data, identify trends, and deliver actionable insights for pricing, retail commerce, and promotions.
- Improve pricing and promotion reports and systems while ensuring accuracy and timely delivery.
- Lead end-to-end projects, clarify requirements, align stakeholders, and coordinate with analysts, developers, and cross-functional teams.
- Translate complex data into clear recommendations for technical and non-technical stakeholders.
- Shape metrics, product features, business strategies, and system algorithms through data analysis.
Requirements
- 8+ years of industry experience in business analytics and a degree in a quantitative field.
- Expert-level SQL skills for data extraction, manipulation, and analysis.
- Experience with Python, R, or similar languages for advanced analytics and with Tableau, Power BI, or comparable data visualization tools.
- Strong knowledge of statistical analysis, algorithm design, structured documentation, and systematic problem-solving.
- Ability to translate business goals into data strategies and communicate complex insights clearly to stakeholders.
- Must be a Singapore Citizen or Permanent Resident.
Nice to have
- Experience in retail, e-commerce, pricing strategies, retail commerce, or promotions.
- Master’s or PhD degree in a quantitative field.
- Experience with Hadoop, Spark, Airflow, and GitHub.
- Experience advising leadership teams and influencing strategic decisions.
- Experience as a Team Lead or Tech Lead.
Culture & Benefits
- Work in a fast-paced, high-growth e-commerce environment.
- Collaborate across Pricing, Retail Commerce, 3P Commerce, and Promotions.
- Participate in a culture centered on ownership, excellence, knowledge sharing, and continuous learning.
- Employment may receive protections or preferential treatment where required by applicable laws.
Hiring process
- Application review, phone interview, onsite or virtual onsite interview, and offer.
- The process may vary depending on the role and scheduling circumstances.
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