Marketing Analytics Data Analyst - Power BI & SQL

Sanders & Creemers; Amsterdam; Hybrid; EUR 45,000 - 65,000; Part time

Benefits offered by this job

Interim payroll

Hybrid work in Amsterdam

Job summary

Sanders & Creemers is seeking a Data Analyst in Amsterdam to drive marketing analytics. You will design and maintain Power BI dashboards, connect data across global and local stakeholders, and translate complex datasets into actionable insights that shape future investments.

You will work with BigQuery, dbt, and SQL for reliable pipelines, perform recurring and ad hoc analyses, and apply statistical methods to reveal deeper insights. A hybrid work setup is offered with payroll interim placement.

Qualifications

• Experience designing and building Power BI dashboards.
• Strong SQL, dbt and BigQuery skills to create data pipelines.
• Experience working with marketing datasets.
• Knowledge of Python for analytics is beneficial.
• Excellent stakeholder management and communication abilities.

Responsibilities

• Design, build, and maintain Power BI dashboards to track marketing performance, channel contribution, and ROI.
• Work with large-scale datasets using BigQuery, dbt, and SQL to create analytics pipelines.
• Conduct both recurring and ad hoc analyses to support business decisions.
• Apply statistical techniques (e.g., regression, hypothesis testing) to uncover insights.
• Collaborate with data, marketing, and product teams across the organization.
• Translate complex findings into clear visualisations for stakeholders.
• Explore and apply AI tooling to improve analytics workflows.

Skills

Power BI

SQL

BigQuery

dbt

Python

Stakeholder management

Tools

BigQuery

dbt

Power BI

Job description

Sanders & Creemers is seeking a Data Analyst in Amsterdam to drive marketing analytics. You will design and maintain Power BI dashboards, connect data across global and local stakeholders, and translate complex datasets into actionable insights that shape future investments.

You will work with BigQuery, dbt, and SQL for reliable pipelines, perform recurring and ad hoc analyses, and apply statistical methods to reveal deeper insights. A hybrid work setup is offered with payroll interim placement.