Digital Advertising Data Analyst
At a glance
Mid-level Data Analysis & BI role at Appier. Taipei.
Pay not stated Data Analyst salary
dataroles summary, based on the employer's posting.
What you'll do
- Review live campaign results and recommend changes that improve client performance measures
- Build and keep fraud reports current to investigate client concerns and safeguard traffic quality
- Explain your findings to clients and managers, including when discussions are tense
- Create client-ready Tableau dashboards and automate recurring reports with Python
What you bring
- Expert SQL skills for complex, efficient queries over large, nested datasets
- Proficiency with Python data work, including Pandas or NumPy, and report automation
- Ability to build clear Tableau dashboards and use Google Sheets for rapid analysis
Who this fits
This mid-level analyst role suits someone who investigates performance changes independently and uses evidence to guide business decisions. You should be comfortable staying composed when clients or stakeholders challenge your findings.
From the employer
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.
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.
- 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."
To succeed in this role, you must be a power user of our primary stack:
- SQL: Expert level. Ability to rapidly 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.
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 Backed by Fact: You combine sharp business acumen with analytical rigor. You know what "normal" looks like, spot exceptions instantly, and leverage data—not guesswork—to drive high-impact solutions.
- 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.
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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