Data analyst Intern
About Mico
Mico is a Series B-funded AI technology company with over 1,000 customers primarily in Japan. Our flagship product, Mico Engage AI, is a cutting-edge AI-powered customer engagement platform that delivers real-time, multi-channel messaging at massive scale. We are expanding globally with engineering teams across Japan, India, Taiwan, and the Philippines.
About the Role
We are looking for a motivated Data Analyst Intern to join our team. This role offers an opportunity to work closely with data engineers, analysts, and business stakeholders to solve real-world problems using data. You will get hands-on experience with large-scale data platforms, analytical tools, and reporting solutions.
Key Responsibilities
- Work with Snowflake to query, transform, and analyze large datasets.
- Build and maintain dashboards and reports in Tableau to track key business metrics.
- Write Python scripts for data cleaning, automation, and analysis.
- Assist in scheduling and monitoring workflows using MWAA (Managed Workflows for Apache Airflow).
- Collaborate with business teams to understand requirements and translate them into data insights.
- Perform ad-hoc analysis to support decision-making.
- Document processes, findings, and dashboards for team knowledge sharing.
- Proactively identify data issues, inconsistencies, and opportunities for improvement.
Requirements
- Strong problem-solving mindset and analytical thinking.
- Good SQL skills (Snowflake experience is a plus).
- Knowledge of data visualization tools (preferably Tableau).
- Working knowledge of Python for data analysis and scripting.
- Interest in data pipelines, scheduling, and automation (Airflow/MWAA exposure is a plus).
- Ability to clearly communicate insights to both technical and non-technical stakeholders.
- Curiosity and eagerness to learn new tools and technologies.
Nice to Have
- Exposure to cloud platforms (AWS, GCP, or Azure).
- Understanding of data modeling concepts and ETL processes.
- Intermediate Python
What You’ll Gain
- Hands-on experience with enterprise-grade tools like Snowflake, Tableau, and Airflow.
- Exposure to real-world business use cases and problem-solving with data.
- Mentorship from experienced data engineers and analysts.
- Opportunity to work on impactful projects that support company decision-making.
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