About Appier 

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.

Role Mission

As our Digital Advertising Data Analyst, you won't just be moving data—you'll be defending our revenue and driving our growth. You will bridge the gap between complex datasets and high-pressure business decisions. Whether you are uncovering a campaign's "hidden" success to secure a contract renewal or identifying sophisticated ad fraud to protect a client's budget, your insights will be the backbone of our commercial strategy.

Key Responsibilities

• Performance Optimization: Analyze real-time campaign data to provide actionable "pivot" suggestions that directly improve client KPIs.
• Sales Enablement: Build data-backed narratives and "evidence packages" that empower our sales team to win renewals and upsells.
• Fraud Defense: Develop and maintain fraud detection reports to proactively address client concerns and ensure high-quality traffic.
• Stakeholder Communication: Present findings clearly to management and clients, often in high-pressure situations where data must be the "voice of reason."

About you

To succeed in this role, you must be a power user of our primary stack:

• SQL: Expert level. Ability to write complex, performant queries across large, nested datasets.
• Python: Proficient in data manipulation (Pandas/NumPy) and automating repetitive reporting tasks.
• Tableau: Ability to build intuitive, client-facing dashboards that tell a story at a glance.
• Google Sheets: Advanced capabilities for quick-turnaround tactical analysis.

 [Preferred qualifications]

• Working experiences in digital advertising industries.

The Ideal Candidate

• Battle-Tested: You have thick skin. You can stay calm and objective when presenting data to stressed stakeholders or skeptical clients.
• Business Intuition: You understand that a 0.05% change in CTR matters to the bottom line. You don't just report numbers; you explain what they mean for the client's wallet.
• Analytical Curiosity: You don't wait to be told what to look for. You see a dip in performance and hunt for the "why" before anyone asks.

 Why This Role?

This isn't a "back-office" job. You will have a seat at the table during major contract negotiations and play a pivotal role in the company's financial health.

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About Appier 

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the role

We are looking for Data Scientists in Taiwan that will be part of our data science team. You will work closely with Machine Learning Scientists, Engineers, and other product related roles to perform data analytics for achieving Appier’s product and business goals.

Responsibilities

• Drive initiatives and experimentations in Ad Cloud product (e.g., enhance the efficiency to deliver ads to end users in real-time-bidding scenarios). 
• Evaluate and define product and business metric framework.
• Build key data sets/pipelines to empower operational and exploratory analysis.
• Conduct data analysis reports to illustrate the results and insight (dashboards, reports)

About you

[Minimum qualifications]

• 5+ years of industry experience in the data analytics area.
• Can write efficient Python scripts for data analysis and job automation.
• Statistics knowledge and skills, using SQL to do basic data extraction and aggregation. 
• Sufficient know-how of machine learning and basic experience of using machine learning tools.
• Fluent in Pandas or PySpark.
• Good analytical skills to extract meaningful insights from the data.
• Ability to communicate data analysis insight to audiences with different backgrounds.
• Proficient oral and written communication skills in English.

 [Preferred qualifications]

• Working experiences in digital advertising industries.

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