Data Analyst / Senior Data Analyst (Enterprise Solution) at Appier

Taipei, , Taiwan -

Full Time

Start Date

Immediate

Expiry Date

28 Mar, 26

Salary

0.0

Posted On

28 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Analysis, Data Modeling, Exploratory Data Analysis, Dashboard Development, A/B Testing, Data Governance, Communication Skills, Statistics, Logical Reasoning, Digital Marketing, Machine Learning, Cross-Functional Collaboration, Client Relationship Management, Data Visualization

Industry

IT Services and IT Consulting

Description

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 a Data Analyst / Senior Data Analyst 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. [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.] 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 Engineers 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. Visualization & Reporting: Design and develop automated dashboards (e.g., Tableau or Looker) to provide intuitive, real-time monitoring and insightful data reports. A/B Testing: Design, execute, and analyze experiments to scientifically evaluate the effectiveness of marketing strategies and campaign performance. 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. Ability to extract meaningful insights from data and translate technical findings into business language for non-technical stakeholders. 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 Google BigQuery, Mongo DB Foundational knowledge or hands-on experience in Machine Learning (ML). Experience in Agent development or AI-driven workflows. Prior experience working in an English-speaking professional environment with cross-border teams. #LI-RL1

Responsibilities

The Data Analyst/Senior Data Analyst will gather and communicate customer requirements to the Product team while collaborating with various teams to identify business pain points. They will also utilize SQL and Python for data extraction and analysis, and design automated dashboards for reporting.