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).

As Monks continues to expand our Global Enterprise Analytics capabilities, we are looking for someone to help us further scale our capabilities. In this role, one will be responsible for a variety of projects. These include but are not limited to developing, implementing and maintaining data pipelines, systems, and models to enable data-driven decision making. This also includes supporting junior members in developing measurement frameworks, test and learn roadmaps, dashboard and data visualzsation builds, and audience segmentation. This role is a combination of internally facing responsibilities - services development and operations - and externally facing responsibilities - working with partners, clients, and Monks Growth and Account Management teams across engagements.

We are looking for someone who is experienced and familiar with the following tools:

Strong programming skills in SQL, Python, R, or other programming languages
Experience with SQL and NoSQL databases
Knowledge of ETL tools such as Google BigQuery, Funnel.io, and Tableau Prep
Business Intelligence (Tableau, Looker, Google Looker Studio, Power BI, Datorama, etc.)
Analytics platforms UIs / APIs (Google Analytics, Adobe, etc.)
Media reporting UIs / APIs (DV360, SA360, Meta, etc.)
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus

Monks is a cross-functional organisation; our analysts work closely with other teams across data, media, strategy, and consulting to ensure client projects are completed with the highest quality. In addition, we always believe that working across teams enables stronger collaboration and deepens each member’s understanding of the broader media and business ecosystems.

What we are looking for:

A Bachelor’s or Master’s degree in computer science, operations research, statistics, applied mathematics, management information systems, or a related quantitative field or equivalent work experience such as, economics, engineering and physics
3+ years of experience with any combination of analytics, marketing analytics, and analytic techniques for marketing, customer, and business applications
Hands-on experience using SQL, Google BigQuery, Python, R, and Google Cloud (GCP) related products
Hands-on experience working with common ETL tools
Hands-on experience using Tableau, Datorama, and other common visualisation tools
Expertise across programmatic display, video, native, and ad serving technology, as well as digital advertising reporting, measurement, and attribution tools
Adept to agile methodologies and well-versed in applying DataOps methods to the construction of pipelines and delivery
Demonstrated ability to effectively operate both independently and in a team environment
Advanced level of English, you will be supporting a team in the US.

Responsabilities

Design, develop and maintain complex data pipelines and systems to process large volumes of data
Collaborate with cross-functional teams to gather requirements, identify data sources, and ensure data quality
Architect data solutions that are scalable, reliable, and secure, and meet business requirements
Develop and maintain data models, ETL processes, and data integration strategies
Design and implement data governance policies and procedures to ensure data accuracy, consistency, and security
Create visualisations and reports to communicate insights to stakeholders across multiple data streams
Collaborate as part of a team to drive analyses and insights that lead to more informed decisions and improved business performance
Work with other teams to ensure teamwork and timely delivery of client projects

#LI-Hybrid #LI-SJ2

About Monks

Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, 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. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI—managed by the industry’s best and most diverse digital talent—to help the world’s trailblazing companies outmaneuver and outpace their competition.

Monks was named a Contender in The Forrester Wave™: Global Marketing Services. It has remained a constant presence on Adweek’s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger’s Programmatic Power Players list every year (2020-24). In addition to being named Adweek’s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek’s Top 100 Global Most Loved Workplaces 2023.

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.

Data Engineer

AI overview