(Assistant) Data Analyst - Data Management & Analytics

(Assistant) Data Analyst - Data Management & Analytics

Apply locations Singapore time type Full time posted on Posted 9 Days Ago job requisition id V96454

We pride ourselves in being at the forefront of Innovation when it comes to creating bespoke beauty solutions for our partners. If you want to transform and make waves in the beauty industry, and are looking for a company that is Innovative, Exciting, and Results Oriented with excellent Team Spirit, join us at Meiyume! Let us Empower Beauty for A Sustainable Future, together.

This role supports Meiyume’s strategic shift toward AI-powered insights and data-driven enablement. You will be part of a forward-thinking team that delivers real-time, high-impact intelligence across the beauty and personal care industry, helping the company make faster, smarter decisions.

Your work will center on building lightweight AI applications, designing automated flows, and collaborating with stakeholders to surface key trends in consumer behavior, category dynamics, and performance opportunities. You will actively engage across departments to understand needs, co-create solutions, and translate data into clear, actionable insights.

The role also contributes to broader initiatives such as customer and competitor analysis, category trend tracking, and identifying white space opportunities—playing a key part in ensuring our company is equipped with timely, relevant intelligence to make informed decisions.

Responsibilities

AI Application & Automation

• Design and build AI-powered tools and workflows that improve intelligence gathering, research automation, and operational efficiency
• Develop and prototype lightweight applications for internal use
• Apply prompt engineering techniques and integrate large language models (LLMs) into business use cases
• Work with APIs and structured/unstructured data to automate repetitive tasks and scale research output
• Collaborate with cross-functional teams to identify automation opportunities and deliver usable solutions
• Present concepts and tools clearly, incorporating feedback for iteration

Market Intelligence & Research

• Conduct addressable market sizing, category landscape analysis, and consumer trend research
• Perform competitor and customer insights analysis
• Create ad-hoc studies to support pitches, product innovation, and regional planning
• Recommend strategic opportunities based on real-time data, social signals, and business objectives
• Engage with internal stakeholders regularly to understand business needs and tailor insights

Operational Reporting

• Deliver key business metrics and support tracking of internal initiatives
• Build scripts to extract, clean, and structure data from operational sources
• Automate repetitive reporting tasks and improve speed of delivery

Requirements

• Degree in Computer Science, Engineering, or another quantitative field
• 2-year experience in data analytics or AI application role
• Detail-oriented and driven by analytical thinking, with a systems-oriented approach
• Possess a strong analytical mindset and a knack for problem-solving
• Demonstrated analytical and quantitative abilities, with a capacity to support assumptions, create business cases, and conduct root cause analyses using data and metrics
• Experienced in performing in-depth analyses of business issues, identifying root causes of trends, and formulating conclusions and recommendations
• Strong Python programming skills, with experience in scripting and prototyping tools or lightweight applications
• Confident in using SQL for data extraction, manipulation, and integration across multiple systems
• Exposure to AI/LLM workflows, including prompt engineering, API interactions, and automation of knowledge work
• Familiarity with cloud platforms such as AWS or Azure, including basic understanding of storage, compute, and data warehousing functions
• Experience with JavaScript or front-end logic, useful for enhancing UX in prototypes or internal tools
• Familiarity with dashboarding tools such as Power BI, Tableau, or similar is a plus
• Experience working directly with stakeholders — gathering requirements, translating them into technical solutions, and presenting results
• Strong communication and presentation skills, with the ability to explain complex topics to non-technical audiences
• A proactive, curious, and builder mindset, with a hands-on approach to exploring new tools, solving problems, and iterating quickly
• Interest or experience in the beauty and personal care industry
• Fresh graduates are welcome to apply

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