**Job Title:** Analyst Order Governance **Department:** Center of Excellence (CoE) **Location:** Medellin, Col **Reports to:** \[Manager/Lead Name], Manager of Center of Excellence **About Us:** At Kaseya, we are at the forefront of innovation, leveraging data and cutting\-edge technology to drive transformation across all departments. The **Center of Excellence (CoE)** is our strategic team of consultants and experts dedicated to driving change, improving efficiency, and embedding data\-driven decision\-making throughout the organization. As a member of this team, you will play a key role in helping our departments optimize their processes, harness the power of data and AI, and achieve sustainable business outcomes. **Position Overview:** We are seeking a motivated and results\-driven **Analyst** to join our Center of Excellence (CoE) team. In this role, you will be responsible for driving data\-driven insights, supporting transformation projects, and implementing AI\-powered solutions across various departments. You will collaborate closely with cross\-functional teams to identify areas for improvement, optimize workflows, and guide data strategy initiatives that enhance overall business performance. As an Analyst in CoE, you will be trained as a consultant with deep expertise in data analysis, AI, and process optimization, enabling you to provide impactful support across multiple departments. **Key Responsibilities:** * **Data Analysis \& Reporting:** + Collect, analyze, and interpret data from various sources to uncover insights that drive actionable improvements in business processes. + Develop and maintain dashboards and reports to monitor key performance indicators (KPIs) across departments. + Create data models and conduct predictive analytics to assist departments in forecasting and decision\-making. * **AI \& Automation Support:** + Assist in the identification and implementation of AI solutions to automate processes and enhance decision\-making. + Work closely with the CoE team to pilot and scale AI initiatives that optimize workflows and increase operational efficiency. + Provide support in the development of machine learning models, data pipelines, and automation tools. * **Consultative Support:** + Partner with various departments to understand their challenges and opportunities for process improvement. + Serve as a consultant to help departments identify opportunities for data\-driven optimization. + Provide guidance on best practices for utilizing data, analytics, and AI to enhance business processes and outcomes. * **Process Optimization:** + Conduct process mapping and optimization exercises to streamline workflows and reduce inefficiencies. + Recommend and implement best\-in\-class data strategies and process enhancements to ensure continuous improvement across the organization. * **Collaboration \& Training:** + Collaborate with stakeholders from different departments to ensure alignment and effective implementation of transformation initiatives. + Support the development of training materials and provide training to department teams on how to leverage data and AI solutions. + Foster a data\-driven culture across the organization by promoting best practices in data analysis and automation. * **Continuous Learning \& Development:** + Stay up\-to\-date with the latest trends and technologies in data analytics, AI, and process optimization. + Participate in ongoing training and professional development opportunities to build expertise in relevant tools and methodologies. **Required Qualifications:** * Bachelor’s degree in Business, Data Science, Engineering, Computer Science, or a related field. * Strong analytical skills with experience in data analysis, statistical modeling, and reporting. * Familiarity with AI technologies and their application in business process optimization. * Proficiency in data analysis tools (e.g., Excel, SQL, Python, R, etc.). * Knowledge of process improvement methodologies (e.g., Lean, Six Sigma) is a plus. * Ability to communicate complex data findings in a clear and concise manner to non\-technical stakeholders. * Strong problem\-solving skills and ability to think strategically. * Excellent collaboration and interpersonal skills, with a consultative mindset.