6 дней назад
Senior Data Analyst, Quick Commerce & Partnerships
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst, Quick Commerce & Partnerships (SQL/Python/AI): Delivering advanced analytics and measurement solutions for quick commerce strategy across 16 markets with an accent on causal impact modeling, incremental ROI measurement, and large-scale data modeling. Focus on building dashboards and AI-powered root-cause analysis workflows, influencing investment decisions, and mentoring junior analysts.
Location: Singapore
Company
is a local delivery and quick commerce platform operated by Delivery Hero Group, serving food, groceries, and household goods across multiple international markets.
What you will do
- Design analytical methodologies, including causal impact modeling and incremental ROI measurement for dark store expansion, assortment changes, delivery fees, and discounting.
- Translate analysis into recommendations for capital allocation and quick commerce execution.
- Partner with senior quick commerce, operations, and supply chain stakeholders to define priorities and present actionable insights.
- Define measurement frameworks and metrics for Shops, dark store performance, fulfillment, and delivery.
- Build complex SQL models and data assets using massive datasets, BigQuery, dbt, Looker, and Tableau.
- Develop AI-powered analytics solutions, including root-cause analysis agents, anomaly detection, LLM-assisted insights, and prompt-engineered pipelines.
Requirements
- Bachelor’s or advanced degree in Statistics, Data Science, Analytics, Mathematics, Economics, Computer Science, or a related field.
- 5+ years of experience in data analytics with strong SQL, Python, data modeling, and data visualization skills.
- Proficiency in advanced SQL, preferably with BigQuery or a similar data warehouse, and experience with Looker or Tableau.
- Strong background in statistical analysis, data modeling, business communication, and presentation.
- Experience leading or mentoring analysts and working independently on complex, high-impact projects.
Nice to have
- Experience supporting quick commerce, operations, supply chain, commercial, or online and offline retail teams.
- Familiarity with dbt or Airflow.
- Experience influencing quick commerce or operations leadership through data-backed recommendations.
Culture & Benefits
- Dynamic and challenging work environment with responsibility from day one.
- Personal and professional development opportunities.
- Regular company and team events.
- International team committed to diversity and inclusion.
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