Senior Data Analytics Consultant

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 is the world’s largest and most connected media and advertising organization. Bringing together leading agencies such as OMD, UM, PHD, Initiative, , Flywheel, TRKKN and YUNE, we combine media, data, technology, creativity and strategy in one integrated organization, helping brands grow in a rapidly changing media landscape. We’re proud to work with iconic brands like Nike, L’Oréal and McDonald’s as well as leading local and regional brands

About the role

As a Senior Data Science & Analytics Consultant, you help advertisers make better marketing decisions by combining advanced modelling, analytical rigour, and client consultancy. You combine a strong data science foundation with excellent consulting and communication skills. You are equally comfortable working with data scientists on a complex analytical challenge, leading a client workshop, presenting in a boardroom, or developing a commercial proposal.

On the one hand, you can independently scope, develop, validate, and interpret complex models across marketing mix modelling, experimentation, attribution, audience analytics, forecasting, and predictive analytics. You contribute hands‑on to technically demanding projects while acting as a trusted advisor to senior client stakeholders. You connect modelling choices and limitations to business implications, explaining not only what the data says, but also how robust the evidence is and what the client should do next.

On the other hand, you identify opportunities to create new products and services based on market developments, client needs, emerging technologies, and reusable analytical methods. Together with colleagues from Data Science, Technology, and Media, you help design, test, and commercialize innovative solutions.

Essentially, you will help our advertisers succeed today, while looking ahead to discover and build the products and capabilities we will need tomorrow.

Your Responsibilities

Advanced Modelling & Methodological Quality

• Lead or contribute hands‑on to complex modelling engagements, from problem definition and data assessment through model development, validation, interpretation, and delivery.
• Apply strong statistical and econometric foundations to select, adapt, and implement appropriate methods for complex or ambiguous business questions, including causal inference, time-series analysis, predictive modelling, and optimization.
• Review model code and outputs, troubleshoot analytical issues, communicate assumptions and limitations, and safeguard methodological quality.
• Develop reusable code, methods, and analytical components that strengthen and scale the team’s solutions.

Client Advisory & Analytics Translation

• Act as a trusted advisor to senior stakeholders on marketing effectiveness, measurement, and analytics challenges.
• Translate complex analytical findings into clear business recommendations and actionable next steps.
• Use excellent communication, storytelling, and presentation skills to lead workshops and stakeholder discussions with technical and non-technical audiences.
• Manage multiple client engagements and stakeholders simultaneously, helping clients embed insights into marketing and media decision-making.
• Use your commercial mindset and curiosity about data, analytics, AI, and marketing technology to identify recurring client needs and market opportunities that can become scalable products and services.
• Collaborate with Data Science, Technology, and Media teams to design, test, and improve analytics solutions.
• Support proposition development, business cases, and go‑to‑market plans, and identify appropriate upsell and cross‑sell opportunities.
• Review the work of analysts and data scientists, resolve difficult modelling issues, and establish practical quality standards.
• Mentor junior colleagues and contribute to best practices and knowledge sharing across the organization.
• Promote effective collaboration across Analytics, Technology, Data Science, and Media teams.

Tooling & Systems

• Strong SQL skills and experience working with complex data structures, large datasets, and data-quality checks.
• Advanced, hands‑on proficiency in Python or R for data preparation, statistical analysis, model development, validation, and reproducible workflows.
• Familiarity with cloud platforms such as Azure, Google Cloud or Snowflake.
• Experience with data visualization tools such as Power BI, Tableau or Looker Studio.
• Proficient in collaboration and project management tools including Teams, Outlook and Asana.
• Familiarity with AI and the advantages and risks it poses in your work.
• Familiarity with Omni and Omnicom's marketing technology ecosystem is a plus.

Ideal Candidate

The ideal candidate combines senior consulting capability with the technical depth to take ownership of complex analytical work:

• 6–10 years of experience in data science, marketing science, econometrics, advanced analytics, or analytics consulting, including substantial hands‑on modelling responsibility.
• Worked at a media agency, consultancy, analytics consultancy, research agency or advertiser-side insights team.
• A track record of independently developing or leading complex models and confidently challenging methodological choices and outputs.
• Enough business understanding to sit comfortably with CMOs and Marketing Directors.
• A proven track record in developing client relationships and growing business.
• A passion for finding new opportunities where data, analytics and technology can create value.

Some benefits include:

• 27 days off per year, including 26 vacation days and 1 “Celebrate You” day (based on a 40-hour workweek)
• Hybrid and flexible working options to support a healthy work‑life balance—and even work from abroad for up to 14 days per year
• Comprehensive growth support, smooth onboarding with a 100‑day plan and personal buddy, plus ongoing development through a strong Learning & Development team
• An inspiring environment where you’ll work with leading A-brands, collaborate with experienced international colleagues, and have the freedom and trust to take initiative and shape your role
• Healthy catering in the office, free lunch once a week, plus a variety of healthy snacks always available
• Referral Bonus – bring someone you know to Omnicom Media and enjoy a generous referral reward in return.
• A variety of group sports activities, from marathons and cycling events to walking races and internal company tournaments.
• Fun social events, including a Summer and End of Year party, pub quizzes, team outings, and themed events like Diversity Day celebration and Partners Festival
• Lease bicycle plan and travel reimbursement to support your commute and sustainable mobility
• Exclusive discounts: enjoy great deals on fashion, electronics, and leisure activities all year round