BI Analyst
Designs, builds, and maintains dashboards, reports, and ETL/ELT pipelines for digital marketing and advertising data, working with Media teams and international clients. Core stack: SQL, BI tools (Looker Studio, Tableau, Power BI), dbt, and cloud platforms (GCP, AWS, Azure, Databricks).
- Compensation
- Not disclosed
- Location
- Buenos Aires
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data analytics
- Posted
Skills
Must have
- Bachelor's or Master's degree in industrial engineering, informatic engineering, computer science, applied mathematics, or related quantitative field — or equivalent work experience
- 2+ years of experience with analytics, marketing analytics, and analytical techniques for marketing, customer, and business applications
- Hands-on experience with BI/visualization tools such as Google Data Studio, Tableau, Power BI
- Strong SQL skills, including regular expression functions, CASE expressions, and common table expressions (CTEs)
- Hands-on experience with cloud infrastructure such as Databricks, AWS, Azure, or Google Cloud Platform
- Self-starter with strong time and project management skills, and high attention to detail
- Excellent problem-solving skills, including the ability to analyze and resolve complex problems using data
- Strong communication skills — can explain technical implementation details to non-technical stakeholders and document work clearly
- Advanced English (tested during the selection process)
Nice to have
- Experience with data connectors (e.g., Supermetrics, Funnel, Tracer)
- Knowledge of media reporting UIs / APIs (e.g., DV360, SA360, Meta)
- GitHub and GitHub Actions (CI/CD processes)
- Python
- Knowledge of cloud infrastructure (Dataform, Cloud Storage, Cloud Monitoring, Dataflow, BigQuery Data Transfer Service, Storage Transfer Service)
- Exposure to AI-assisted development tools (Cursor, Claude, Codex)
Full description
Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website ().
The Role
We are seeking a BI Analyst to help design, build, and evolve scalable data solutions for digital marketing and advertising use cases. Working closely with our Media and Solutions Engineering teams, you will be responsible for end-to-end business intelligence activities—from conducting data discovery and maintaining ETL pipelines to supporting reporting solutions for our clients.
This is a hybrid client-facing and internal delivery role, working with the regional Monks team and various international clients.
Key responsibilities
- Design, build and maintain robust dashboards, reports and visualizations that track media campaign performance and KPIs.
- Analyze complex data sets in-depth to identify trends, callout issues, and gather insights.
- Maintain integration pipelines (ETL/ELT) in cloud environments (GCP, AWS, Azure) that integrate marketing and advertising data across DSPs, ad servers, and third-party platforms to create reporting solutions for Media teams
- Data Quality & Governance: Implement auditing, data validation rules, security protocols, and compliance frameworks to maintain data integrity. Establish QA frameworks and build internal/external tools for automated data validation and proactive monitoring.
- Work directly with clients and internal teams to understand their measurement needs, configure reports, and present findings that support data-driven decisions.
- Document data solutions to ensure transparency with our clients and reproducibility
- Drive continuous improvements in reporting processes, templates and automation to scale delivery and reduce manual effort.
- Research, evaluate, and adopt emerging tools, technologies, and industry best practices in data analytics to drive innovation and efficiency.
Tools
We are looking for someone experienced with (or familiar with) the following tools and technologies:
- BI/visualization tools such as Google Data Studio, Tableau, Power BI.
- Experience with SQL databases
- Cloud platforms such as Databricks, AWS, Azure, or Google Cloud Platform