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▷ Inicio Inmediato! Order Governance Analyst...

▷ Inicio Inmediato! Order Governance Analyst...

Roca Alliances S.AMedellín, Antioquia, CO
Hace 7 horas
Descripción del trabajo

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.

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

1. 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.

2. 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.
  • 3. 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.
  • 4. 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.
  • 5. 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.
  • 6. 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.
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