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市场商业数据分析-助理经理

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Onsite

市场商业数据分析-助理经理

爱茉莉太平洋贸易有限公司

市场商业数据分析-助理经理

Skills

SQL QueriesE-commerce WebsitesData AnalysisAI

1 month ago

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Important information


Contract type:

Permanent

Location:

Shanghai, China

Work mode:

Onsite

Published on:

17 September 2026

What they need


该职位来源于猎聘 职责描述: Marketing Investment & Analytics Assistant Manager

Role Overview

Join the Group Marketing Excellence team to build a data-driven marketing investment and full-funnel analytics capability across brands.

The role will combine marketing analytics, business intelligence, and strategic problem-solving — turning complex marketing and business data into actionable insights that improve investment allocation and marketing effectiveness.

Key Responsibilities

  • Build Marketing Investment and Full-Funnel Analytics Framework

Establish a standardized framework linking Awareness → Consideration → Traffic → Conversion → Sales.

Define KPI architecture and measurement methodology across brands and channels.

Continuously improve analytical approaches from performance reporting toward incrementality and ROI optimization.

Assess investment rationality, efficiency and business impact at brand and product level.

Develop benchmarks and dashboards to support future budget allocation and investment optimization.

  • Hands-on Data Analysis

Independently collect, clean, integrate and analyze data from multiple sources.

Conduct deep-dive analyses to identify business opportunities, inefficiencies and growth drivers.

Translate data into clear business implications and recommendations.

Build analytical models, dashboards and recurring performance tracking tools.

  • Marketing & Platform Analytics

Analyze performance across platforms such as Xiaohongshu, Douyin and e-commerce channels.

Evaluate KOL, media and traffic investment effectiveness.

Develop platform / channel benchmarks and identify optimization opportunities.

  • AI-enabled Analytics

Leverage AI and emerging analytical tools to improve research, data analysis, visualization and productivity.

Explore new AI-enabled approaches for automated insight generation, competitive intelligence and predictive analytics.

Continuously experiment with new tools and methodologies to upgrade the team’s analytical capabilities.

  • Insight & Storytelling

Turn complex analyses into clear, sharp executive-level PPTs.

Present key findings and recommendations to stakeholders.

Clearly answer: What happened? Why? So what? What should we do next?

Candidate Profile

Must Have

Around 5 years of experience in marketing analytics, commercial analytics, digital analytics, business analytics or related fields.

Strong understanding of marketing / media / consumer business.

Strong analytical and data sense; able to independently structure an ambiguous business problem.

Strong Excel / data analysis capabilities; experience with SQL, BI tools or similar analytical tools is a strong plus.

Strong PowerPoint skills and ability to communicate insights visually and logically.

Able to work independently from question framing → data analysis → insight → recommendation.

Strong Plus

Experience in beauty, FMCG, consumer, e-commerce or retail.

Hands-on experience with Xiaohongshu, Douyin or e-commerce media / advertising platforms.

Experience with A&P, media investment, KOL, promotion or ROI analysis.

Consulting / strategy / agency analytics experience.

Hands-on experience using AI tools for data analysis, research or productivity.

任职资格: What We Are Looking For

This is not a pure media reporting or campaign analytics role.

We are looking for a hands-on, business-minded analyst who enjoys solving ambiguous problems with data.

We are looking for someone who can build the analytical framework from scratch, work directly with data, and translate findings into clear business recommendations — rather than simply produce reports or campaign performance dashboards.

You Should Enjoy Asking Why are we investing this much?

Is this investment justified?

What is driving the difference?

What is actually incremental?

Where should the next RMB be invested?

And Most Importantly You can work with data — and turn data into decisions.

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