The organization is a leading AI data foundry aiming to support scalable AI deployment for enterprise clients and innovators by automating and streamlining data analysis processes.
Requirements
- Experience in automating data analysis tasks using C-Sharp, Python, and SQL.
- Proficiency in designing automated workflows and creating Jupyter notebooks.
- Ability to develop efficient scripts and facilitate data exploration.
- Experience conducting training sessions on data tools and automation.
- Strong communication skills for conveying complex technical concepts.
- Familiarity with cloud provider and commercial product payment and risk systems is a plus.
- Skilled in statistical analysis and data manipulation for pattern detection.
Responsibilities
- Automate jobs and streams for data analysis using C-Sharp, Python, and SQL.
- Design and implement automated workflows to streamline data processes.
- Create Jupyter notebooks for data analysis, visualization, and pattern detection.
- Develop user-friendly notebooks and scripts for data exploration and trend identification.
- Conduct training sessions on building Jupyter notebooks and automated processes.
- Communicate complex concepts and empower others to utilize automation tools for data analysis.
- Contribute innovative ideas to enhance automated processes.
Other
- Ability to prioritize and manage multiple projects.
- Strong project management skills.
- Minimum of 4 years of industry experience.
