Data Analytics Manager
Job description
About the role
The Data Analytics Manager translates complex marketing and media data into clear strategic direction for global brands.
Data roles turn raw information into decisions. Analysts query databases and build dashboards. Data scientists build models that predict outcomes. Data engineers build the pipelines that move and store data. All three work closely with business teams and need a mix of statistics, coding, and communication. Nearly every modern company runs on data teams, from startups to banks. A strong portfolio of past analyses matters more than degrees in many hiring decisions.
Key facts
What you'll do
Design, develop, and maintain interactive dashboards and reports in Power BI to support marketing and media objectives.
Transform raw data from Google Analytics, Jarvis-metadata, media platforms, and CRM systems into a complete and consistent view of marketing and media performance.
Support the Project Manager with project definition, scoping, and progress updates using Wrike.
Build and maintain Power BI data models, including DAX calculations, aligned with business rules from a snowflake datawarehouse.
Optimise data models for performance, usability, and scalability within the Snowflake datawarehouse.
Support ETL processes by extracting, transforming, and loading data from marketing and media sources.
Collaborate with media specialists, project managers, product and AI engineers, and data engineers to understand needs and deliver BI solutions.
Train end users and support effective use of BI tools and dashboards for daily decisions.
Advise clients on the use, structure, and interpretation of data solutions for media investment choices.
Present findings and insights clearly and concisely to stakeholders to guide media and marketing strategy.
Implement and maintain data governance practices to ensure accuracy, consistency, and integrity of data.
Manage projects independently using agile methods and project management tools.
Stay current with the latest BI technologies and trends within marketing, media, and the organisation to apply relevant updates.
Requirements
A relevant HBO or WO-opleiding in Data Analytics, Informatica, Bedrijfskunde, or a related field.
Strong, demonstrable experience with Power BI, DAX, and SQL for data modelling and querying.
Understanding of data warehouse models, such as a snowflake schema and performance tuning.
Experience with cloud data warehouses such as Snowflake and data integration tools such as Adverity is a nice-to-have.
Knowledge of the marketing and media landscape for contextual decision making.
Practical notes
You are based in Amsterdam, The Netherlands, with hybrid flexibility.
Typical interview steps
Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.
Good to know
The role focuses on transforming complex marketing and media data into clear insights.
You will work with modern BI tools, cloud data platforms, and agile delivery methods.
The team operates with a startup mindset within a large global network.
Continuous learning and experimentation are encouraged in this environment.
The position supports global brands across media, data, and partnership functions.
Career growth
Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross-functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.