Senior Data Analyst (Marketing Science)

ABOUT US We are a fast-growing, close-knit, dynamic, and successful Digital Services Company that specializes in providing support to large multinational companies for SEO, Product & Web Content Management, Social Media Management, Performance Marketing, E-Commerce Management, CRM & E-Mail Marketing Automation, DX & Development, Data Management & Analytics, Project Management, Digital Consultancy, and Recruitment. As a multinational Dutch company, we have offices in Amsterdam, Istanbul, Lisbon, Kuala Lumpur, Bogota & Portland. With our exceptionally talented & diverse team, and our A+ client portfolio, the world is our oyster! We are looking for a Senior Data Analyst (Marketing Science) to join our team. RESPONSIBILITIES

• Design and execute marketing incrementality measurement plans using holdout tests, randomized control trials, and econometric models to quantify true channel impact.
• Develop and optimize multi-touch attribution frameworks to accurately assign credit across cross-channel marketing campaigns, guiding media spend decisions.
• Architect data integration pipelines consolidating data from digital, TV, retail, CRM, and web analytics platforms to enable holistic media analysis.
• Define and maintain ETL processes for data cleaning, transformation, and structuring, ensuring data accuracy and readiness for advanced analytics.
• Validate marketing models regularly, updating methodologies to adapt to changing consumer behaviors and market conditions.
• Build and maintain automated dashboards and reports that deliver real-time insights on campaign effectiveness and marketing ROI.
• Collaborate with marketing, sales, and data engineering teams to align incrementality testing and attribution models with overall business goals.
• Utilize statistical and econometric techniques (e.g., MMM, Bayesian inference, causal inference) to measure marketing lift and optimize budget allocation.
• Provide actionable recommendations to improve marketing efficiency and maximize return on ad spend (ROAS) and customer acquisition cost (CAC) efficiency.
• Document marketing science methodologies, data workflows, and model assumptions to ensure transparency and reproducibility.
• Mentor junior analysts on marketing incrementality, attribution modeling, and data integration best practices.

QUALIFICATIONS

• Bachelor’s degree in Marketing Analytics, Statistics, Economics, Data Science, or a related field; advanced degree preferred.
• 5+ years of experience in marketing analytics, media effectiveness measurement, or marketing science roles.
• Strong expertise in marketing incrementality measurement techniques such as randomized control trials (RCTs), holdout experiments, and Marketing Mix Modeling (MMM).
• Experience designing and implementing multi-touch attribution (MTA) models beyond last-touch attribution, including time decay and data-driven models.
• Proficient in SQL and statistical programming languages (Python or R) for data integration, modeling, and automation.
• Knowledge of ETL workflows and data warehousing tools (e.g., BigQuery, Snowflake, dbt).
• Skilled in integrating and analyzing data across multiple marketing platforms (Google Ads, Meta, TV ratings, CRM, POS, web analytics).
• Ability to apply econometric and causal inference methods to validate marketing incrementality and campaign effectiveness.
• Experience building interactive dashboards with Power BI, Tableau, Looker, DOMO or similar tools for real-time marketing performance tracking.
• Strong analytical, problem-solving, and communication skills; able to translate complex data insights into actionable marketing strategies.
• Understanding of marketing KPIs including CAC, ROAS, MER, customer lifetime value (CLV), and campaign lift metrics.

WHAT WE OFFER Mental Health & Support ♀️: Free company subscription to our mental health & support partner ‘’Openup’’. Referral Program : Our referral program ‘’Friends2Work’’ encourages our employees to refer their friends followed by a cash award once they are hired. Self-Improvement : Access to numerous online courses and training in our own in-house training platform NMQ Academy & access to our exclusive Mentorship Program provided by our brilliant senior peers. Team Environment : We give you to opportunity to work with global brands together with a fun, diverse, and dynamic team and become a part of a global success story! If you are interested in joining our team, please apply with your CV in English. By applying to this job advertisement, you accept that you have shared your personal data within the scope of the clarification text we have provided at www.nmqdigital.com NMQ Digital is proud to be an equal-opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Don't be discouraged if you feel that you don’t fully meet every single one of the requirements for a particular role, there is always room for growth in NMQ! Apply tot his job