Data Automation Analyst

Role & responsibilities

• Bachelors degree in Computer Science, Data Science, Information Systems, or related field (or equivalent experience).
  
• Proven experience as a Data Analyst, No-Code Developer, or similar role.
  
• Strong skills in Google Sheets (advanced formulas, pivot tables, dashboards).
  
• Hands-on experience with AppSheet and other no-code/low-code platforms.
  
• Proficiency in Google App Script for automation and custom solutions.
  
• Strong working knowledge of SQL for data extraction and analysis.
  
• Exposure to Python for data manipulation, automation, or reporting.
  
• Excellent problem-solving and analytical skills.
  
• Ability to work independently, manage multiple tasks, and deliver within deadlines.
  
• Strong communication skills to collaborate effectively with both technical and non-technical stakeholders.

Nice to Have

• Experience with APIs and integrations.
  
• Knowledge of BI tools (e.g., Power BI, Tableau, Looker Studio).
  
• Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.
  
• Prior experience in healthcare, finance, or service-based industries.

Preferred candidate profile

• Design, develop, and maintain dashboards, trackers, and reports using Google Sheets and AppSheet.
  
• Automate workflows and business processes using Google App Script and other automation tools.
  
• Analyze large datasets, extract meaningful insights, and present findings in a clear and actionable manner.
  
• Write SQL queries and work with databases to manage, manipulate, and validate data.
  
• Develop and optimize no-code/low-code applications to improve operational efficiency.
  
• Collaborate with cross-functional teams (operations, finance, QA, etc.) to understand requirements and translate them into effective no-code solutions.
  
• Integrate data from multiple sources to ensure consistency, accuracy, and availability.
  
• Use Python for advanced data processing, scripting, or automation where required.
  
• Document processes, maintain data integrity, and ensure scalability of solutions.