Data Analyst

Key Responsibilities

• Participate in business meetings to understand stakeholder needs and translate them into data solutions.
• Acquire deep business knowledge to ensure analytics solutions deliver measurable impact and drive informed decision-making.
• Design scalable and efficient data models aligned with business objectives and best practices.
• Develop and optimize data engineering pipelines, leveraging AI tools to enhance productivity and data quality.
• Develop data-driven insights and advanced analytics solutions to support business decisions.
• Build and maintain dashboards and visualizations that make insights clear and actionable.
• Create predictive models to identify trends, forecast outcomes, and optimize operations.
• Ensure analytics solutions are scalable, interpretable, and aligned with business needs.
• Participate in workshops and stakeholder meetings to identify opportunities for Agentic AI use cases.
• Design and implement AI-boosted workflows that combine automation, reasoning, and human feedback loops.
• Deploy AI agents to streamline and automate business processes, maximizing efficiency and value creation.
• Collaborate with cross-functional teams to integrate these solutions into daily operations, ensuring adoption and measurable impact.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Strong communication and collaboration skills, with the ability to engage effectively with diverse stakeholders.
• An analytical and problem-solving mindset, capable of addressing complex data challenges.
• At least 6 months of demonstrable experience in data&analytics projects using cloud technologies.

Preferred Qualifications

• Master’s degree in Computer Science, Data & Analytics, or a related field.
• Experience with DevOps methodologies, including CI/CD pipelines.
• Practical knowledge of Generative AI tools to automate tasks and boost productivity, with strong prompting skills.

Why Join Propelling Tech?

• Work on groundbreaking projects in Data & AI.
• Collaborate with international clients and global stakeholders.
• Leverage cutting-edge AI tools and methodologies to boost efficiency and innovation.
• Be part of a dynamic, supportive team that values growth, learning, and curiosity.