Mondo
Job Overview
We are seeking a Data Analyst to join our growing team and help transform raw data into meaningful insights. This role requires a mix of technical expertise, analytical thinking, and business acumen. You will work closely with stakeholders to develop visualizations, optimize data processes, and support AI-driven analytics initiatives.
Responsibilities
- Analyze, interpret, and visualize data to provide actionable insights.
- Collaborate with business stakeholders and IT teams to define data requirements.
- Develop and maintain dashboards, reports, and visualizations using Power BI or similar tools.
- Conduct data validation to ensure accuracy and consistency across systems.
- Troubleshoot and optimize SQL queries and ETL processes.
- Support AI initiatives by quantifying and structuring data for AI-driven models.
- Take ownership of databases and documentation, ensuring data integrity.
- Continuously learn and contribute to process improvements and mentorship within the team.
Required Qualifications
- 1-2 years of hands-on experience in data analysis, machine learning, and SQL.
- Strong SQL skills for querying, data validation, and ETL processes.
- Experience with Python for data manipulation, automation, and predictive modeling.
- Familiarity with machine learning concepts (experience with AI-driven data models is a plus).
- Proficiency in Power BI or other data visualization tools.
- Experience working with medium-to-large datasets, with the ability to discuss dataset size and complexity.
- Strong problem-solving skills—asks "why" and digs deeper into data beyond surface-level insights.
- Excellent communication skills—able to explain complex data concepts in a clear and logical manner.
- Takes ownership and proactively seeks opportunities to improve data processes.
- Passionate about AI and data analytics, viewing this role as a stepping stone into more advanced AI/ML work.
- Ability to adapt in a fast-paced environment and learn new technologies quickly.
- Understanding of Retrieval-Augmented Generation (RAG) is a plus.
Preferred Qualifications
- Experience with AI-driven analytics projects.
- Exposure to cloud-based data platforms (e.g., AWS, Azure, or Google Cloud).
- Background in statistical modeling or predictive analytics.