T-Mobile is a major telecommunications provider, well recognisable by its magenta capital T. Together with its other brands Tele2, Ben and Simpel the organization serves millions of users in Europe. The market-leading brand is active in both the business-2-consumer and business-2-business market. Function and T-Mobile started their collaboration mid 2022.

T-Mobile is invested in its data-driven marketing capabilities, and establishing a future-proof architecture. As a result of market developments over the last years, such as browser tracking preventions - and new technical opportunities to collect qualitative online data, such as server-side tracking, the current standard of collecting online data did not fit T-Mobiles ambitions and strategy anymore. Therefore, mid 2022 T-Mobile took the leap to be one of the early adapters in the market to innovate its data collection towards an infrastructure that is fit for the coming years (or buzz term: ‘cookieless era’). Realisation of this infrastructure is needed to maintain the highly valued trust in data quality, so teams can confidently serve business decisions that grow digital business operations.

Our objective is to migrate all media data pipelines (the data that is sent from T-Mobile to platforms like Google Ads, Facebook and Snapchat) for T-Mobile and Tele2 from a client-side implementation towards a first-party, server-side implementation. Working with media related platforms means the involvement of a lot of internal and external stakeholders, and involves critical GDPR consent components.

Established the data fundament for real-time ROAS optimisation: 

In order to estimate how successful a paid campaign is and how its bidding should be tweaked, we have to be able to uncover what the campaign contributes in terms of revenue. We built an infrastructure that has the needed real-time capability and reliable data quality that makes attribution models accurate and meaningful.

Removed any future dependency on third-party cookies in the infrastructure: 

Third-party tags have been replaced or enriched by various conversion API’s.

Data collection using client-side GTM and server-side Tealium products: 

We moved from 100+ third-party tags to 12 first party tags, meaning simplified governance and better website performance.

Structured events with similar definitions towards single – well defined – events, validated the implementation and accuracy, and properly documented the setup for all stakeholders to reference.

As in all data projects, there were some unknowns before our agile team started. The exact stakeholders, possible impediments, current status of the infrastructure and concrete potential value were unknown to an extent. Therefore, we apply our self-developed framework for marketing data initiatives that allows us to onboard and clarify the current status fast, deliver results early, respond to impediments quickly and involve all different stakeholders. You can find our framework 

 on this website, but in short it consists of 4 iterative steps, performed simultaneously during ongoing agile sprints:

To elaborate on how this leads to a quicker time to value, we zoom-in on a real situation:

During sprint 2 we discovered an impediment on an external technical capability. Since there is a high amount of technical requests, choices have to be made in terms of priority, and our requests have a time period before they can be picked up. In case of this specific request, that period was expected to be approximately 5 months. 

During sprint 3 we performed a research spike to find a workaround. In our sprint review we proposed our findings with our stakeholders.

During sprint 4 we implemented the temporary workaround.

4 months later the external team realised the user story, with minimal delay impact on the aimed objective.

Currently, this agile team is responsible for collecting and delivering clean data, prioritising and delivering requests from stakeholders, still using the same agile best practices.

To us, this is what building a data culture means. We believe that everything you give attention to, tends to grow. So if an organisation’s process towards working with data is given the attention needed; facilitating people with the right approach and tech, data makes work easier and decisions better: it becomes functional.

In collaboration with Function, T-Mobile is innovating its data culture by building new technical and organisational engines that drive value. Read below the why, the how, the what and who. 

Read how T-Mobile is building a valuable data culture in collaboration with Function

Function Data is a growing data consulting business based in Amsterdam, and we build the technical and organisational solutions that make companies truly data driven. We are convinced there is a better approach to data initiatives, so we started a company that helps companies change the way they perform data projects.

We have a strong focus and expertise on marketing related topics and projects, with the result that our portfolio consists of a variety of cool, customer facing brands.

Function Data operates as an embedded data team – or as an extension of the existing data team. We use software best practices to match their business opportunities with data development, so that we deliver value fast and continuously.

The way we work is transparent and collaborative, helping companies to keep innovating, also after we have left.

We are a remote team, that has a home base office in Amsterdam. Depending on the role we work completely remote, partly at our office and partly at our clients.

Over the last years, the technical web analyst role has evolved towards an all-round analytics developer. To us, that means that your work will build the data infrastructure and data pipelines into relevant systems, which are usually analytics- and marketing activation related in our field.

Every solution is different, but summarized you will work with platforms and products like:

Google Cloud Platform (BigQuery – Cloud Composer – Dataform)

Digital Analytics Systems (Google Analytics, Amplitude, Looker)

Customer Data Platforms (Tealium, Segment)

Pipeline tools (Fivetran, Hightouch, Supermetrics)

Have at least 4 years of experience in a data role

Are analytical, technical, independent and have good communication skills;

Have an excellent command of English, spoken and written;

Have in-depth experience to a variety of the platforms and code languages mentioned above.

You enjoy making stuff over sitting in meetings (you’ll definitely still be in some meetings, sorry).

You see the potential strategic value of data, understand its development reality and aim at where they overlap.

Salary depending on experience: 3500 – 5000 euros

Dedicated 15% of your time to personal learning and development

Great fringe benefits; use of OV-bikes, an NS Business Card and many other conveniences.

The choice to work where you are most productive: at home, at the office or abroad up to 6 weeks a year.

Professional education at JADS Data Science university.

Analytics Developer

Our Dutch salary range (3500 – 5000 euros per month) multiplied by a location factor. This factor ranges from 0.5 to 1.5.

The choice to work where you are most productive: at home or in a shared office space. 

Analytics Developer - 100% remote

Tmobile

Elle

Quest

Peddler

Vogue

Hearst

Tele 2

Linda

Media Blue

Google Cloud

Google Tag Manager

Amplitude

Dataform

Looker

Google Analytics

Bigquery

Snowplow

Tealium

Fivetran

We connect to your business to understand the organizational objectives.

Next, we uncover the business case; the part where technical possiblities and potential strategic value overlap

We operate as an embedded team in your organisation and work in sprints to deliver value early and deliver value continuously.

Sprints, embedded teams and continuous value delivery

How we work

Build, leverage, learn, improve. Build some more. Continuously innovating.

Our philosophy is simple – hire humble, passionate technology enthusiasts and foster a culture of learning and innovation.

Learning and innovation drives change.

Facilitating change is what we gets us paid.

Why work at function?

We build data cultures. Building the technical and organizational engines that make companies truly data driven.

Function Data - Modern Data Consulting

85% of all data-initiatives fail, not because of the technology used, but because of the process. Strategies get made, campaigns get started and data tells you it didn’t work. So a new campaign is made. That’s too linear!

Stop thinking linear

We think of data as a product.

Our mindset

Innovate your in-house data culture by using our expertise

Our white paper

JADS is a unique cooperation between Tilburg University and Eindhoven University of Technology (TU/e). They offer various data science programs. From bachelor and master programs to professional education. JADS’ amazing campus is located in an old monastery in ‘s-Hertogenbosch, which we think is super cool. It is good to know that for the year 2 and year 3 program we compose a learning agreement. Here we agree on some terms in case you decide to end the employment agreement in the year following the year that the program was followed.

We are quite proud to announce that we partnered up with JADS* to offer a 3-year professional education program that will help you to further develop to an all-round data science professional.

These brands are already adopting our approach to achieve better results.

Our partners

The core of Function. 

The biggest challenge towards successful data initiatives is often that companies are simply not structured to perform successful data projects that drive value. 

We advise on how to embed the right approach and tech in your organisation, in order to enable everyone in your organisation to flourish in their data efforts. 

Data Culture Building

We advise on how modern business processes can be embedded in an organisation to innovate its marketing practices. 

Modern marketing can become quite complex: we want to leverage data because data analysts found insightful opportunities. That data is dependent on a team of back-end engineers, made available and transformed by analytics developers, and requested by a team of marketeers.
 
Together we work towards an agile marketing process that tests consumer behaviors and reacts quickly to changes. 

Data Marketing Innovation

Uncover the current status of your data organisation. 

Auditing and assessing data is the fundament for finding the insights that allow 
 for better business decisions to be made. We map and clarify the current architecture, and assess all data that moves through it. 

At Function, we refer to the end-to-end architecture and data flows as the Data Supply Chain. We set out a path for every organisation towards a clean, well structured supply chain that allows for smooth operations and little frustration. 

Data Quality and Architecture audits

Our data team focuses on a variety of analytics, technical marketing, data engineering and data quality topics.

Where it all begins. At Function, we have learned that collecting qualitative data is the missing link towards value in a lot of data initiatives. 

We build solid solutions that collect validated, qualitative data from your digital products such as websites and apps, and external marketing data sources. 

We incorporate various validation, monitoring and governing principles and use a no-nonsense approach to demystify principles like first-party and third-party data.

Qualitative Data Collection

The path from data to information. To us, analytics development is the  umbrella term for the technical web analytics and analytics engineering expertise. 

We build the data infrastructure and data pipelines into various analytics platforms, and configure each solution towards the custom needs of our clients. 

We adapt software best practices in all data initiatives that we build. This enables qualitative and maintainable analytics products. 

Analytics Development

Combining behavioural, product and marketing data using a down-to-earth, privacy-first approach to identity resolutions. 

We build and configure a wide variety of Customer Data Platforms (CDP's). Our CDP implementations can be enabled in collaboration with one of our tech partners, or be custom built on Google Cloud Platform. 

Either way, we leverage our unique approach to data projects, levering a short time-to-value. 

Customer Data Infrastructures

The backbone of modern marketing strategies. We demystify what can - and cannot - be accomplished in modern marketing and implement an agile marketing process to test consumer behaviors and react quickly to changes. 

We build attribution models, personalisation use cases and customer journey predictions. 

Get to know the ins and outs in working with big tech enterprises like Facebook, uncover the concrete possibilities and opportunities, and together we build a winning approach for your organisation. 

Technical Marketing

Unlocking the insights from gathered information, and enable data-driven decisions. 

We build a variety of data capabilities that help you make better decisions: from intuitive dashboards to complex models. The elaborate experience with a variety of analytics platforms and tools helps us in servicing every organisation. 

As always with the aim to help your organisation become truly data-driven. 

Analytics & Data Science

A grasp of technologies we work with

Our services

You can submit a resume via the 'Apply Now' button below. Next, we will ask you to answer a few questions, which help us understand how your background and interests fit with what we are looking for at Function. Make sure to answer these questions carefully as they can make the difference between a successful application and not.

Application 

We will schedule a brief call to discuss your background and interests and to give you the opportunity to learn more about Function.

Short introductory call 

You will be asked to work on a set of problems that reflect the technical, analytical and communication skills needed for this role. It gives us a sense of your skills and it hopefully also gives you a taste of what it's like working for Function. We will give you personal feedback on this task, regardless of the outcome. 

Technical Task

This is the final step in the application process and consists of a one-hour interview with the hiring manager and a sernior engineer on the team. We will discuss the task (and give you feedback) but also cover a wider set of questions around your business experience and your outlook for the role. 

Final interview

We will let you know our decision, and if we see a good fit we make you an offer we hope you can't refuse. 

Decision

Function is growing! Solvers, improvers and engineers. You’ll fit right in. Join me!

Function is the sum  of its people, join us!

Team & Careers

Modern Data Consulting

We offer the complete package to enable data cultures

Why function?

A 2 month introductory program in data science for professionals, based on the dual perspectives of Eindhoven University of Technology and Tilburg University.

The 7-month core program in data analytics, data engineering and data entrepreneurship to further train you as an all-round data scientist. 


The 7-month certificate program that revolves around learning to lead a data-science initiative and achieve real impact. An in-company project supported by JADS experts is included.

We build
data cultures

Learn about how we work, what we do and who we are.

Some of our customers are

Some of our customers are

How we work

We connect to your business to understand the organizational objectives.

Our services

We build

We advise

Our data team focuses on a variety of analytics, technical marketing, data engineering and data quality topics.

A grasp of technologies we work with

A grasp of technologies we work with

Team & Careers

Thijs van Oirschot

Owner of Function

Analytics Developer

fulltime

Analytics Developer - 100% remote

fulltime

Function is growing! Solvers, improvers and engineers. You’ll fit right in. Join me!

Why function?

Our partners