Lead Data Analyst

Our Mission

We guide business people to insights that change the world. We provide a foundation of intelligence that supports the needs of businesses and businesspeople. We analyze, organize, and create global information so you can make the right decisions at the right time, unleashing your creative and innovative potential.

Uzabase Group has offices in China, Japan, Singapore, Sri Lanka, and the US.

Lead Data Analyst - Global Data Team

Core Responsibilities

• Own and run validation pipelines for financial and firmographic data from multiple vendors and databases
• Acquire and create new datasets by extracting and processing data from varied sources (websites, APIs, unstructured documents) and building and maintaining automated pipelines that reduce manual data collection
• Automate business functions by working with cross-functional teams to design and deliver domain-specific automation solutions that leverage large language models (LLMs) where they add real value
• Communicate findings and progress clearly to both technical and non-technical stakeholders

Qualifications and Experience

• 3-4 years of experience in data analytics, data operations, or a related field
• Experience in a financial services firm or hands-on experience with financial data is preferred
• Bachelor's degree in Computer Science, Data Science, or a related field
• A degree in Finance, Business, Economics, or a similar discipline or a professional qualification, such as CFA, ACCA, or CIMA (completed or in progress), is preferred
• Proven experience working with structured and unstructured data across multiple sources
• Experience with databases (MySQL, PostgreSQL, or similar) and data retrieval techniques such as web scraping

Desired Skills

• Web scraping, data extraction tools, or automation scripting using Python
• Familiarity with ML concepts and practical application of AI/LLM tools in a business context
• Strong problem-solving skills with a keen eye for data quality and operational detail Experience in the financial data or business intelligence domain

Language Skills

• Fluency in English - strong written and verbal skills

Remuneration

• Pay will be commensurate with education and experience