Data Analyst - II Python

At Netomi AI, we are on a mission to create artificial intelligence that builds customer love for the world’s largest global brands.

Some of the largest brands are already using Netomi AI’s platform to solve mission-critical problems. This would allow you to work with top-tier clients at the senior level and build your network.

Backed by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder & President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience. We are building a dynamic, fast growing team that values innovation, creativity, and hard work. You will have the chance to significantly impact the company’s success while developing your skills and career in AI.

Want to become a key part of the Generative AI revolution? We should talk.

Job Responsibilities

• Process Automation: Develop and implement automation scripts and tools using Python to optimize existing processes.
• Workflow Optimization: Identify opportunities to streamline manual or repetitive tasks across departments and build automated solutions.
• API Integration: Integrate third-party APIs with internal systems to automate data exchange and process workflows.
• Testing & Debugging: Ensure that all automation solutions are thoroughly tested, debugged, and optimized for performance.
• Documentation: Create and maintain comprehensive documentation for automated processes, workflows, and codebase.
• Collaboration: Work closely with cross-functional teams, including DevOps, QA, Product, and IT, to gather requirements and deliver automation solutions.
• Performance Monitoring: Continuously monitor, analyze, and improve the performance of automated systems.
• Mentorship: Mentor junior developers and provide technical guidance to the team on automation best practices.

Requirements

• Strong Proficiency in Python (3+ years of experience).
• Extensive experience with automation tools and libraries, such as Selenium, PyTest, Airflow, etc.
• Hands-on experience with RESTful APIs, web scraping, and third-party integrations.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
• Familiarity with CI/CD pipelines and automation within DevOps environments.
• Create interactive visualizations by analyzing data from multiple sources and building insightful reports.
• Knowledge of databases (SQL/NoSQL) and the ability to optimize database queries.
• Strong problem-solving skills and attention to detail.
• Experience working with version control systems (Git, GitHub, GitLab).