Data Analyst

As a Data Analyst, you will be part of a highly skilled team working on one of our most exciting and challenging projects. You’ll engage with multiple customer stakeholders to gather business requirements and contribute to the development of a cutting‑edge Data Lakehouse in a disruptive, cloud‑based environment. Leveraging AI‑powered tools, you will play a key role in optimizing data engineering pipelines and delivering impactful analytics solutions.

At Propelling Tech, we thrive on innovation, using the latest cloud and AI advancements to redefine how businesses harness data. If you’re passionate about data transformation, cloud engineering, AI‑driven solutions and Agentic AI, this is your opportunity to make a real impact.

• 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.

• 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.
• 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.

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

• 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.

• Seniority level:
  Entry level
• Employment type:
  
  Full‑time
• Job function:
  Information Technology
• Industry: Business Consulting and Services