Mexico
Corning
Hire Hangar
Lead Data Analyst
Mexico
Buenos Aires, Argentina · Santiago, Santiago Metropolitan Region, Chile · Piedras, Tolima, Colombia · Santo Domingo de Guzmán, Distrito Nacional, Dominican Republic · Guayaquil, Guayas, Ecuador · Cairo, Cairo, Egypt · Tegucigalpa, Francisco Morazán, Honduras · Kingston, Jamaica · Monterrey, Nuevo León, Mexico · Ciudad de México, Mexico · Managua, Managua, Nicaragua · Panama City, Panamá Province, Panama · Asunción, Distrito Capital, Paraguay · Lima, Lima, Peru · Johannesburg, Gauteng, South Africa · Cape Town, Western Cape, South Africa · Montevideo, Montevideo, Uruguay · Sana'a, Amanat Al Asimah, Yemen
PythonSQLAWSGCP
About the opportunity
Join Hire Hangar and work with fast-growing global companies while building a long-term career.
Lead Data Analyst
We connect top talent with vetted employers, competitive pay, and real growth opportunities.
Location: Remote
Working Hours: US Time Zones (PST - EST)
Please NOTE
It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps—the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles
Key Responsibilities
- Lead the development and execution of analytical frameworks to support business goals
- Collaborate with stakeholders to translate business questions into data projects
- Design and maintain dashboards, reports, and advanced analytics models
- Mentor junior analysts and ensure high standards in data quality and storytelling
- Recommend process improvements based on data-driven insights
- Stay ahead of industry trends, tools, and best practices
Qualifications
- 3+ years of experience in a data analysis or business intelligence role
- Strong command of SQL and Python/R for analysis and modeling
- Hands-on experience with BI tools like Tableau, Power BI, or Looker
- Proven track record of leading projects and teams
- Excellent communication skills with the ability to explain complex data to non-technical stakeholders
Tools & Technology
- Python, SQL, or Scala
- Apache Airflow, dbt, or equivalent pipeline orchestration tools
- Snowflake, BigQuery, or Redshift
- AWS, GCP, or Azure
- Google Workspace
- Slack, Zoom, Jira, and other remote collaboration tools
- Kafka or Spark (advantageous)
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