Bi Analyst

Monks; Buenos Aires; Hybrid; ARS 900,000 - 1,300,000; Full time

Job summary

Monks seeks a BI Analyst to design, build, and evolve scalable data solutions for digital marketing use cases. You will work with Media and Solutions Engineering teams on end-to-end BI activities from data discovery to reporting solutions for clients.

This hybrid client-facing and internal delivery role involves collaborating with regional Monks teams and international clients to drive data-driven decisions.

Qualifications

• Bachelor's or Master’s degree in a quantitative field or equivalent work experience.
• 2+ years of analytics experience in marketing analytics and related applications.
• Hands-on experience with BI/visualization tools such as Google Data Studio, Tableau, Power BI.
• Strong SQL skills, including REGEX, CASE expressions, and CTEs.
• Experience with cloud infrastructure like Databricks, AWS, Azure, or GCP.
• Self-starter with strong time and project management skills.
• Excellent problem-solving skills and data-driven thinking.
• Strong communication skills and clear documentation.
• Advanced English (tested in selection process).

Responsibilities

• Design, build and maintain dashboards, reports and visuals tracking media KPI performance.
• Analyze complex data sets to identify trends and insights.
• Maintain ETL/ELT pipelines in cloud environments to support reporting for media teams.
• Implement data quality, auditing and governance frameworks.
• Collaborate with clients and internal teams to configure reports and present findings.
• Document data solutions for transparency and reproducibility.
• Drive automation to scale reporting and reduce manual effort.
• Research and adopt new data analytics tools and best practices.

Skills

BI tools

SQL

Data analysis

English

Education

Bachelor's or Master’s degree in a quantitative field

Tools

Tableau

Power BI

Databricks

AWS

Azure

GCP

DBT

Job 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 ( monks.com/careers ).

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
• Data modeling and transformation tools (ETL/ELT), such as DBT

Experience working with data connectors (e.g., Supermetrics, Funnel, Tracer, etc) is a plus Knowledge of media reporting UIs / APIs (e.g., DV360, SA360, Meta) is a plus GitHub and GitHub Actions (CI/CD processes) is a plus Python is a plus Knowledge of cloud infrastructure (Dataform, Cloud Storage, Cloud Monitoring, Dataflow, BigQuery Data Transfer Service, Storage Transfer Service) is a plus Exposure to AI-assisted development tools (Cursor, Claude, Codex) for accelerating implementation is a plus

What we’re looking for

• A Bachelor’s or Master’s degree in industrial engineering, informatic engineering, computer science, applied mathematics, or a related quantitative field—or equivalent work experience.
• 2+ years of experience with any combination of 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 experience with 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 - you can explain technical implementation details to non-technical stakeholders and document your work clearly
• Advanced English. This will be tested during the selection process

About Monks

Monks is the global, digital-first, data-driven, unitary operating brand of S4Capital plc, where our culture centers on how we show up for the work and for one another. That begins with the commitment to strive for mastery- taking deep pride in our craft and creating work that sets the bar. In everyday execution, we drive momentum by choosing bold action rather than waiting for certainty. Above all, our teams are stronger together, bringing diverse perspectives into a unified team that communicates with clarity, trust, and mutual respect.
This commitment to craft and innovation translates directly into widespread industry acclaim: Monks was named a Contender in The Forrester Wave: Global Marketing Services and a leader in the 2026 Gartner Magic Quadrant for Global Digital Marketing Agencies. It ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization (2025), Monks was also awarded Business Intelligence Group’s 2026 Excellence in Artificial Intelligence Award in the Human-Machine Interaction Team category. Additionally, Monks.Flow earned AI-based Marketing Solution of the Year at the 2026 AI Breakthrough Awards and a 2026 Global Generative AI Award in the Agentic Marketing Innovation category. Finally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.