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Digital Performance Analytics Sr. Specialist
- 給与
- 記載なし
- 勤務地
- 記載なし
- 休日
- 記載なし
- 雇用形態
- 正社員
どんな仕事かAIによる生成
Reporting to the Manager Digital Performance Analytics, this role integrates data-driven insights into commercial initiatives across digital consumer journeys. It analyzes CRM and digital data, builds dashboards and reports, and delivers advanced analytics projects including predictive modeling. The role collaborates with regional and global teams on advanced analytics, machine learning, and AI projects.
この求人に応募
応募資格
求める人物像
- Strategic mindset with a strong focus on business impact.
- Experience working in complex, cross-functional stakeholder environments.
- Ability to make fast, informed decisions and explain complex data clearly.
- Proactive, adaptable, collaborative, and solution-oriented approach.
募集要項最終確認 10/26
- 職種
- データアナリスト
- 雇用形態
- Job Type Full Time
- 給与
- 記載なし
- 勤務地
- Seoul (서울), South Korea
- 働き方
- 記載なし
- 勤務時間
- 40 hours per week
- 掲載日
- 2026/10/15 10:24（12日前）
- 最終確認
- 2026/10/26 22:21（1日前）
仕事内容
PURPOSE
- Reporting to the Manager Digital Performance Analytics, you will integrate data-driven insights into commercial initiatives across digital consumer journeys. You will turn business and consumer data into strategic insights, align analytics with business priorities, build dashboards and reports, and improve data literacy across the organization. You will also collaborate with regional and global teams on advanced analytics, machine learning, and AI projects.
KEY RESPONSIBILITIES
- Develop and execute data-driven strategies aligned with business objectives.
- Analyze CRM and digital data to identify customer behavior and marketing performance insights.
- Lead data-driven marketing initiatives with stakeholders.
- Design dashboards, visualizations, reports, and presentations for business decision-making.
- Partner with business leaders to identify opportunities and challenges that can be addressed through analytics.
- Design experiments and conduct significance testing and statistical modeling.
- Deliver advanced analytics projects covering data ingestion, management, extraction, and predictive modeling.
- Support the transition from reactive analytics to predictive and prescriptive analytics.
- Collaborate with developers and data engineers on cloud and big data projects.
ATTITUDE AND VALUES
- Strategic mindset with a strong focus on business impact.
- Experience working in complex, cross-functional stakeholder environments.
- Ability to make fast, informed decisions and explain complex data clearly.
- Proactive, adaptable, collaborative, and solution-oriented approach.
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