We know every decision should be driven by data. But what about the data you don't know? For years, our industry has lacked transparency, moved slowly, and cost too much. Leaving organizations to make critical decisions without the whole picture. This is changing now. Across many countries, our technology connects communities of users to source actionable data in real-time, cost-effectively, and with the visibility needed. So leaders inside organizations can make the best decisions under the best conditions. With this approach, organizations win. And communities win, too. People can earn more from their opinions and discoveries. They can influence their cities for the better. And they can do it all with full transparency that the data they're gathering is valued. Job Summary Our team is growing fast and looking for a senior data professional — energetic, strategic, and technically strong — based in Colombia. You will join a high-performing team and be responsible for driving data transformations, automation, and key reporting to support operational processes. You'll work with multiple databases across cloud platforms. Your responsibilities will also include automating processes using tools like Pentaho, Cloud Functions, and Python, enabling data to drive quick and actionable decisions. We are adopting cutting-edge technologies in data collection, geolocation, and customer experience, redefining how businesses understand their consumers. Responsibilities - Generate reports for clients, ensuring accuracy, clarity, and value in the deliverables. - Analyze information gathered through our daily surveys, incorporating extrapolated datasets developed by our data scientists. - Automate and execute data production processes for client delivery. - Produce customized files tailored to each client's structure and specification requirements. - Drive continuous improvement of logistical planning processes for our field collaborators. - Efficiently manage tickets and operational requests, ensuring timely responses and appropriate follow-up. - Actively participate in continuous improvement projects in collaboration with analytics and engineering teams. Requirements - Education: Professional in Systems Engineering, Software Engineering or related fields. - +2 years of experience in data analysis or data transformation projects. - Experience in operational processes. - Experience in ETL with database language MySQL/ Postgres. - Experience in Google Cloud Platform using Cloud functions scheduler queries. - Experience with Python. - English level B1 or more. - Experience with agile project tools such as Jira, Project. - Experience in automation of reports with Pentaho tools. Preferred Skills - Experience in R. - Experience in Big Query.