Lead Data Analyst

Role Summary

As a Lead Data Analyst within the Global Data Team, you will play a vital role in transforming global information into actionable intelligence. You will be responsible for managing complex datasets to help business professionals make informed, timely decisions.

Core Responsibilities

• Manage and oversee validation processes for various financial and firmographic data sources.
• Develop automated pipelines to extract and process information from APIs, websites, and unstructured documents.
• Collaborate with different departments to implement automation solutions, specifically utilizing Large Language Models (LLMs) to enhance business efficiency.
• Present data insights and project updates to both technical teams and non-technical business stakeholders.

Qualifications and Requirements

• Experience: 3 to 4 years of professional background in data operations, analytics, or a similar field.
• Education: A Bachelor's degree in Computer Science, Data Science, or a related technical discipline.
• Preferred Background: Prior experience with financial services or financial datasets is highly valued. Candidates with degrees or professional certifications in Finance, Economics, or Business (such as CFA, ACCA, or CIMA) are encouraged to apply.
• Technical Skills: Proficiency in Python for automation and web scraping, experience with SQL databases (like MySQL or PostgreSQL), and a solid understanding of ML and AI applications.
• Communication: Excellent command of the English language, both written and spoken.

How to Apply

Please refer to the official Uzabase recruitment channels to submit your application. Remuneration is competitive and will be determined based on your professional experience and educational background.