Taipei, Taiwan
Live, first seen by us 85 days agoAnalyze real-time campaign data and suggest changes that improve client KPIs
Develop and maintain fraud detection reports for clients
Present findings clearly to management and clients
Analyze real-time campaign data to provide actionable "pivot" suggestions that directly improve client KPIs.
Develop and maintain fraud detection reports to proactively address client concerns and ensure high-quality traffic.
Present findings clearly to management and clients, often in high-pressure situations where data must be the "voice of reason."
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.
Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making.
In the employer’s words · Read in context
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Day 85
Up longer than most. Similar jobs usually come down between day 5 and day 41.
At Appier, jobs usually come down by about day 77.
From 10,933 similar postings that came down, and 10 of Appier’s. Coming down is not always a hire.
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
Technical Requirements 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.
- 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.
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New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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.
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Taipei, Taiwan
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