AI & Automation Analyst

Role and Responsibilities

• Engage with internal stakeholders from business units and functional departments to gather requirements and translate needs into actionable AI and automation initiatives.
• Collaborate closely with data scientists, engineers, and IT professionals to design, build, and implement scalable AI-driven solutions.
• Identify and analyze high-impact opportunities for process optimization, business automation, and operational improvement.
• Lead the testing, validation, and iteration of AI and automation projects to ensure robust performance, accuracy, and scalability in real-world environments.
• Monitor implemented solutions, collect feedback, and drive ongoing improvements while assimilating advancements in AI technologies and best practices.
• Maintain thorough technical documentation and prepare regular progress reports, summarizing outcomes, innovations, and recommendations for leadership and stakeholders.
• Uphold best practices in data privacy, regulatory compliance, and ethical AI usage.

Required

Minimum Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
• Minimum 2 years of experience in AI, machine learning, data science, data analysis, or automation roles.
• Proficiency in at least one programming language (e.g., Python) with experience using data analysis libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn.
• Strong understanding of data analysis, statistical concepts, and data visualization techniques.
• Familiarity with data processing tools and platforms (e.g., SQL).
• Ability to distill complex data into actionable insights and communicate technical concepts clearly to diverse audiences.
• Experience working in collaborative, cross-functional teams.
• Excellent stakeholder communication and expectation management skills.
• Eagerness to learn and adapt in a rapidly evolving technical environment.

Preferred

• Experience in SaaS/subscription-based business models.
• Familiarity with business systems (e.g., Salesforce, Netsuite).
• Hands-on experience integrating AI and Automation into both modern and legacy systems.
• Demonstrable skills in problem-solving, project management, and continuous improvement in a growth-focused environment.