We are looking for a Data Analytics Consultant in Taiwan to join our Enterprise Solution team.
In this role, you will serve as the strategic bridge between our product applications, client data, and evolving business requirements.
Gather customer feedback and turn it into requirements for the Product team
Extract data with SQL and Python and run EDA and predictive models
Design and build automated dashboards in Tableau or Looker
Design and analyze A/B tests for marketing strategies and campaigns
Build structured frameworks for client use cases and deliver business solutions
From the employer’s posting
We are looking for a Data Analytics Consultant in Taiwan to join our Enterprise Solution team.
In this role, you will serve as the strategic bridge between our product applications, client data, and evolving business requirements. You are the vital link connecting our Product, Customer Success, and Sales teams. Your primary objective is to architect business solutions and successfully implement them using existing products, while simultaneously translating client feedback into actionable requirements for the Product team to drive continuous innovation.
Gather and communicate new requirements and feedback from customers to the Product team
Utilize SQL and Python to extract data from massive databases, conduct Exploratory Data Analysis (EDA), and build models
Design and develop automated dashboards (e.g., Tableau or Looker)
Design, execute, and analyze experiments to scientifically evaluate the effectiveness of marketing strategies and campaign performance
Design structured frameworks based on client use cases, break them down into actionable analytical tasks
Open 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
Apr 15, 2026204 days ago
Recorded sightings
147
Last seen by us
Nov 5, 2026
Apr 15, 2026today
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 204
756
Up longer than most. Similar jobs usually come down between day 7 and day 56.
Well past Appier’s usual: its jobs come down by about day 77.
From 10,195 similar postings that came down, and 10 of Appier’s. Coming down is not always a hire.
Appier is hiring
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.
Python
SQL
Looker
NoSQL
Tableau
Where the posting names them
- Cross-Functional Collaboration: Partner with Product Managers (PM), Customer Success Managers (CSM), and clients to identify business pain points and provide actionable analytical suggestions.
- Data Modeling & Analysis: Utilize SQL and Python to extract data from massive databases, conduct Exploratory Data Analysis (EDA), and build models to analyze business needs and predict user behavior. Further, verify and react with AI tools and validate the analytics results.
- Visualization & Reporting: Design and develop automated dashboards (e.g., Tableau or Looker) to provide intuitive, real-time monitoring and insightful data reports. (or proven capability of leveraging AI tools to complete tasks)
- Technical Skills:
- Proficient in SQL, Python
- Practical experience in developing dashboards using Tableau, Looker, or similar tools.
- Data Modeling & Analysis: Utilize SQL and Python to extract data from massive databases, conduct Exploratory Data Analysis (EDA), and build models to analyze business needs and predict user behavior. Further, verify and react with AI tools and validate the analytics results.
- Visualization & Reporting: Design and develop automated dashboards (e.g., Tableau or Looker) to provide intuitive, real-time monitoring and insightful data reports. (or proven capability of leveraging AI tools to complete tasks)
- A/B Testing: Design, execute, and analyze experiments to scientifically evaluate the effectiveness of marketing strategies and campaign performance.
- Proficient in SQL, Python
- Practical experience in developing dashboards using Tableau, Looker, or similar tools.
- Core Competencies:
- Experience in the Digital Marketing (MarTech) industry.
- Familiarity with RDBMS, NOSQL DB queries
- Foundational knowledge or hands-on experience in Machine Learning (ML).
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Applying through Greenhouse
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
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About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
We are looking for a Data Analytics Consultant in Taiwan to join our Enterprise Solution team.
In this role, you will serve as the strategic bridge between our product applications, client data, and evolving business requirements. You are the vital link connecting our Product, Customer Success, and Sales teams. Your primary objective is to architect business solutions and successfully implement them using existing products, while simultaneously translating client feedback into actionable requirements for the Product team to drive continuous innovation.
To excel in this role, you must develop an in-depth understanding of our products from technical development and service operations to sales strategy. You should possess exceptional communication skills to navigate complex client relationships and internal cross-functional collaborations.
Responsibilities
Requirement Advocacy: Gather and communicate new requirements and feedback from customers to the Product team to support continuous feature improvement and product-market fit.
Cross-Functional Collaboration: Partner with Product Managers (PM), Customer Success Managers (CSM), and clients to identify business pain points and provide actionable analytical suggestions.
Data Modeling & Analysis: Utilize SQL and Python to extract data from massive databases, conduct Exploratory Data Analysis (EDA), and build models to analyze business needs and predict user behavior. Further, verify and react with AI tools and validate the analytics results.
Visualization & Reporting: Design and develop automated dashboards (e.g., Tableau or Looker) to provide intuitive, real-time monitoring and insightful data reports. (or proven capability of leveraging AI tools to complete tasks)
A/B Testing: Design, execute, and analyze experiments to scientifically evaluate the effectiveness of marketing strategies and campaign performance.
Solution Modeling & Frameworks: Design structured frameworks based on client use cases, break them down into actionable analytical tasks, and independently execute and deliver practical business solutions.
Data Governance: Maintain data accuracy and integrity, ensuring that metrics produced by data pipelines align strictly with business logic and customer requirements.
About You
[ Minimum Qualifications ]
Education: Degree in Statistics, Mathematics, Computer Science, Information Management or a related quantitative field.
Experience: 2+ years of industry experience in data analytics or a related field.
Technical Skills:
Proficient in SQL, Python
Practical experience in developing dashboards using Tableau, Looker, or similar tools.
Core Competencies:
Solid foundation in statistics and strong logical reasoning for problem-solving.
High attention to detail with a natural 'sanity-check' mindset; able to quickly catch data discrepancies or baseline metric errors before delivering insights.
Ability to extract meaningful insights from data and translate technical findings into business language for non-technical stakeholders.
Strong ability to go beyond "what happened" to answer "why it happened" and proactively propose "what to do next."
Excellent oral and written communication skills in English and Mandarin.
High level of self-discipline and adaptability within a fast-paced, high-growth environment.
[ Preferred Qualifications ]
Experience in the Digital Marketing (MarTech) industry.
Familiarity with RDBMS, NOSQL DB queries
Foundational knowledge or hands-on experience in Machine Learning (ML).
Experience in Agent development or AI tool related workflows.
Experience in top business consulting firms
Prior experience working in an English-speaking professional environment with cross-border teams.