We all know every decision should be driven by data. But what about the data you don’t know? For years, the status quo in data aggregation has lacked visibility, moved slowly, and cost too much. Leaving organizations to make critical decisions, day after day, without the whole picture. Premise changes that.
Across 138 countries and counting, our technology connects communities of global smartphone users to source actionable data in real-time, cost- effectively, and with the visibility you need. So leaders inside organizations, non-profit agencies and governments can now make the best decisions under the best conditions.
With Premise, organizations win. And communities win, too. People can earn more from their opinions and discoveries. They can influence their cities for the better. And, unlike other data sourcing methods out there, they can do it all with full transparency that the data they’re gathering is going to an organization that values it, and values them.
Position Summary
We are growing fast and looking for a Senior Database Analyst — 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 strategic operational processes. You'll work with multiple relational and non-relational database engines across cloud platforms like Google Cloud and AWS.
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.
If you’re excited to shape the future of global data and analytics — let’s talk!
What You Will Do
- Generate reports for internal and external 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.
What You Bring Along
- Education: Professional in Systems Engineering, Software Engineering or related careers.
- +2 years of experience in data analysis or data transformation projects.
- Experience in operational processes
- Experience in ETL with database language MySQL/ Postgres is a must.
- Experience in Google Cloud Platform using Cloud functions scheduler queries is a must
- Experience with Python is a must
- English level B1 or more is a must
- Experience with agile project tools such as (Jira, Project) is a must
- Experience in automation of reports with Pentaho tools is a must
Extras
- Experience in with R
- Experience in Big Query
