6 days ago
Bogotá, ColombiaMid Level
Responsibilities
- Design, develop, and maintain complex, scalable data pipelines and systems for large data volumes.
- Architect reliable, secure, and scalable data solutions that meet business and analytics requirements.
- Gather requirements, identify data sources, and collaborate with data, media, strategy, consulting, Growth, and Account Management teams.
- Develop data models, ETL processes, and data integration strategies across cloud environments.
- Implement data governance policies, procedures, and practices supporting data accuracy, consistency, and security.
- Build dashboards, reports, and visualizations communicating technical insights and metrics.
- Support junior team members with measurement frameworks, test-and-learn roadmaps, dashboard development, and audience segmentation workflows.
- Apply DataOps methods and agile delivery practices to streamline pipeline releases and deliver client projects on time.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Operations Research, Statistics, Applied Mathematics, Economics, Engineering, Physics, or a related quantitative field, or equivalent quantitative practical experience.
- At least 3 years of experience in analytics, marketing analytics, and analytical techniques for customer and business applications.
- Strong programming proficiency in SQL, Python, or R and experience with SQL and NoSQL databases.
- Hands-on experience with Google Cloud Platform, Google BigQuery, and ETL tools such as Funnel.io or Tableau Prep.
- Expertise building dashboards with Tableau, Looker, Google Looker Studio, Power BI, or Datorama.
- Deep understanding of Google Analytics, Adobe, and advertising or media reporting platforms and APIs including DV360, SA360, and Meta.
- Experience with agile methodologies, DataOps pipeline delivery, and both independent and collaborative work.
- Advanced or fluent written and spoken English communication skills.
- Experience with AWS or Microsoft Azure, digital advertising attribution modeling, programmatic display or video technology, ad-serving pipelines, or agency and consultancy client work is preferred.
Tech Stack
Categories
Data Engineering
About Monks
Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. It delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI to help the world’s trailblazing companies outmaneuver and outpace their competition.