Are you excited by the power of data and the potential it holds to solve business problems? Do you want to help world class brands use marketing and customer data to drive revenue growth and better customer experiences? Are you ready to stand in front of clients and help guide them through the jungle of cloud computing, insights, advanced analytics, and AI? Join our team as a Data Strategy Consultant and help our clients transform their marketing data capabilities to deliver tangible business impact! 

What will your day look like?

As our new Data Strategy Consultant, you will join our growing team of CRM & marketing data experts. Here, you will help our clients collect, analyse and activate 1st-party and 3rd-party data at scale to create impactful customer experiences that drive measurable business results.  You will help to propose, design and deliver solutions that support customer insights, audience activation, personalization and measurement of marketing performance. 

More specifically, your tasks will include:   

Customer Data & Audience Strategy 

• Convert business and marketing objectives into actionable audience strategies and frameworks at both global and local levels. 

• Establish reusable audience taxonomies, segmentation logic, and eligibility requirements. 

• Identify necessary data elements and align them with existing platforms such as DWH and Martech 

Experimentation & Measurement Frameworks 

• Develop standardized methodologies for holdouts, control groups, test design, and KPI definition, including incrementality and consent value. 

• Create reusable templates for test briefs and result reporting. 

• Collaborate with analytics and operations teams to execute initial tests and implement a scalable experiment model. 

Technology & Data Architecture Enablement 

• Translate marketing requirements into solution patterns for critical use cases for activation and measurement and help create clear specifications for tech and data specialists. 

• Partner with platform and data teams to assess feasibility and prioritize development initiatives. 

• Support the transformation of custom solutions into scalable, reusable patterns for clients and markets.   

Who are you going to work with?

You will be working closely in projects with a lot of different people with different professions, both inside and outside of VML MAP. You will be part of a group of experienced Data Strategy and Data Solution Consultants and will work closely with colleagues from the other groups in our consulting practice. We strive to have an open collaboration model to optimally utilize our total skillsets.  

You will also work closely with our Tech and Data specialists, and Client Engagement leads to deliver client projects, and you will work directly with our clients, i.e., key stakeholders in the data, marketing and IT organizations of large global companies. You will also have the opportunity to engage with our data and technology partners, such as Salesforce, Adobe, Braze, Google, and Snowflake. 

Together, we help our clients put in place data solutions that drive business value in a collaborative work environment with a focus on both professional expertise and having fun on the way. 

What do you bring to the table?

You might have a data and technology background and grew into a consulting role, or maybe you come from a business background and built a strong understanding of data solutions. Nevertheless, it is important that you have strong core consulting skills as well data experience and expertise. 

Consulting skills 

• Strong communication and presentation skills, i.e., the ability to clearly communicate complex topics to stakeholders at all levels of the organization. 

• Structured problem-solving skills, i.e., the ability to identify and analyze complex problems and develop practical solutions.  

• Business acumen, i.e., an understanding of how businesses work and how they create value.  

• The ability to build trust and strong working relationships with clients, partners and colleagues. 

Data experience and expertise 

• You have a degree in data science, digital marketing, computer science or similar fields of study. 

• You are considered an expert in marketing data solutions with deep expertise in marketing measurement, customer data, and other data solutions. 

• You have experience with analyzing business needs, designing, scoping, and delivering data solution projects and services in large organizations. 

• Experience with collaborating with and communicating to technical and business audiences alike.  

Mindset 

As a person, you are collaborative and love being part of interdisciplinary projects and solutions.  You are comfortable with the complexity of high-tech dialogues and solutions.  Furthermore, you have the drive, enthusiasm and technical skills to take lead when facing the client in data and insights related matters. Through this, you strive to help and inspire the client to grow their business by combining data insights, performance analytics, and data engineering. It’s an advantage if you have agency experience and marketing domain knowledge, but it’s not a requirement.   

In addition, you have:   

•  3-5 years in a data consultant role with clients related to marketing data, predictive analytics, BI and reporting solutions. 

• An infectious curiosity around data applications for CRM and customer insight development, AI use cases and continuous innovation. 

• Comfortable with hands-on work in technology platforms such as Salesforce Marketing Cloud and Data Cloud, Adobe Experience Cloud, Braze, etc. 

• Hands-on experience working with cloud data platforms, ETL and reporting, data analysis through R, Python or other similar toolsets. 

• Experience with database and data model design for business intelligence and analytics solutions is an advantage. 

• Familiarity with multi-touch attribution approaches and techniques involving a range of paid and owned channels is an advantage.  

• Experience with Google Insights/Google Analytics, Google Cloud Platform/BigQuery, Adobe Analytics and Salesforce is an advantage. 

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. 

#LI-EMEA

Are you a Senior Data Engineer with a passion to build, support & maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we’re looking for!

What will your day look like?

As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include:

• Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes.
• Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.
• Build monitoring procedures & tools to ensure solid ETL flows and data quality.
• Design processes and tools to correct ETL incidents.
• Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives.
• Consult our data analytics teams to ensure best practices on the technical use of data are followed.
• Design data architectures and collaborate in data migrations in cloud environments. 

Who are you going to work with?

You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams.

What do you bring to the table?

As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas.

At the same time, you solve problems in an analytical and pragmatic manner.

Moreover, you have:

• Experience in data engineering, big data, business intelligence, or data science. 
• Experience in Spark, Python, Scala, or similar.
• Excellent SQL skills enabling large-scale data transformation and analysis.
• A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools.
• Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice)
• Programming experience in Javascript, Python, or similar.
• Expertise in managing databases, including performance tuning, backup, and recovery.
• Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation
• Knowledge of strengths and limitations of visualization tools (e.g. PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools.
• Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders.
• Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security
• Knowledge of Kubernetes would be an advantage

Personal skills:

• Strong desire to contribute towards keeping data tidy and well-organized
• Ability to think critically, identify issues autonomously, and propose corrective actions.
• Build great relationships with your team and stakeholders

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. 

#LI-EMEA