Jobs / data

Data Analytics Manager (English)

WPP Media · Amsterdam

Salary shownIND sponsor

What you get

Flexibility: Work-from-home options, flexible working hours, and even the opportunity to work abroad (within the EU) for a period of time.
Clear Career Path: Within our DIO framework, there are clear paths to grow into a Sr. Data Analyst or, for example, a Data Engineer. We support this with regular check-ins and a personal development budget.
Top-Tier Tech: Work with the latest cloud and BI solutions within an enterprise environment.
Competitive Compensation: A salary between € 3800 - € 5800, based on relevant work experience.
Access to M Academy: For extensive training and workshops in both hard and soft skills, including dedicated AI training modules.
Mental Wellbeing: Access to our wellbeing hub.
Travel Allowance: Full reimbursement of commuting expenses.
26 days of paid leave per year (plus 8% holiday allowance and the option to buy up to 9 extra days!).
Hybrid Working Allowance: €30 net per month (based on full-time employment).
Bring Your Own Device (BYOD): A monthly net phone allowance of €57.50.
Lunch Facilities: Affordable lunch options in our canteen and an in-house barista for fresh coffee.
Health Insurance: Benefit from our collective health insurance scheme.
Culture: An informal, inspiring team with great social drinks (borrels), a beautiful office in Amsterdam, and plenty of space for your own initiatives.

Ready to turn complex data into impactful insights?

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What will you be doing?

Dashboard Development:

Design, develop, and maintain interactive dashboards and reports in Power BI.
Ensure dashboards provide clear, actionable insights that aligns with marketing- and media objectives.
Collaborate with stakeholders to gather requirements and translate them into effective visualizations.
You can support the Project Manager by outlining projects, providing estimations, and providing updates on progress.

Power BI Modeling:

Develop and maintain robust Power BI data models, including DAX calculations. Support on complex data transformations.
Familiar with data warehouse models like snowflake scheme
Optimize data models for performance and usability.
Ensure data models are aligned with business rules and logic.

Data Integration:

Able to support on extracting, transforming, and loading (ETL) data from various marketing and media data sources (e.g., Google Analytics, Jarvis meta data, media platforms, CRM systems and other).
Integrate and consolidate data to provide a unified view of marketing and media performance.

Collaboration and Communication:

Work closely with media specialists, project managers, product & AI engineers, and data engineers to understand their needs and deliver BI solutions that meet expectations.
Provide training and support to end-users on how to use BI tools and dashboards effectively.
Provide consultancy to clients on how to use, construct & interpretate data solutions
Present findings and insights to stakeholders in a clear and concise manner.
Data Governance and Quality:
Implement and maintain data governance best practices to ensure data accuracy and integrity.
Monitor and troubleshoot data quality issues, ensuring timely resolution.
Able to manage own projects (agile and with the usage of project management tools like Wrike) according to our quality principles

Continuous Improvement and Innovation:

Stay updated with the latest BI technologies and global company and industry trends, particularly in the marketing and media sectors.
Identify opportunities to enhance BI processes and solutions to better support business objectives.
Embrace challenges and pioneer new approaches to BI development within the team, setting the foundation for future practices.