Senior Data Analytics Consultant (Hybrid) — Growth & Impact

Omnicom Media Nederland; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

27 days off per year

Hybrid and flexible working

Lunch and catering in office

Referral bonus

Lease bicycle plan

Travel reimbursement

Job summary

Omnicom Media Nederland seeks a Senior Data Science & Analytics Consultant to help advertisers make better marketing decisions by combining advanced modelling, analytical rigour, and client consultancy.

You will lead complex modelling engagements across MMM, attribution, forecasting, and audience analytics; translate insights into actionable business recommendations; and mentor colleagues while shaping scalable analytics products with Data Science, Technology, and Media teams.

Qualifications

• Strong SQL skills for data preparation and modelling.
• Experience with Python or R for statistical analysis and model development.
• Ability to translate analytical findings into business recommendations.
• Proven client advisory and stakeholder management capabilities.
• Experience mentoring junior colleagues and leading projects.

Responsibilities

• Lead or contribute hands-on to complex modelling engagements across marketing mix, attribution, forecasting and analytics.
• Apply statistical/econometric methods including time-series, causal inference, and optimization.
• Review model outputs, troubleshoot issues, and ensure methodological quality.
• Develop reusable code and analytical components to scale solutions.
• Act as trusted advisor to senior stakeholders on marketing effectiveness.

Skills

SQL

Python

R

Communication

Stakeholder management

Mentorship

Tools

SQL

Python

R

Power BI

Tableau

Looker Studio

Azure

Google Cloud

Snowflake

Teams

Outlook

Asana

Job description

Omnicom Media Nederland seeks a Senior Data Science & Analytics Consultant to help advertisers make better marketing decisions by combining advanced modelling, analytical rigour, and client consultancy.

You will lead complex modelling engagements across MMM, attribution, forecasting, and audience analytics; translate insights into actionable business recommendations; and mentor colleagues while shaping scalable analytics products with Data Science, Technology, and Media teams.