Advanced Analytics Marketing Director

Location : Hybrid

Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week in accordance with Company policy.

About our Company :

Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating over 25 years of ground-breaking technological innovation across more than 38,000 trials and 12 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million registered users across approximately 2,300 customers trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. A Dassault Systemes brand (Euronext Paris: FR0014003TT8, DSY.PA), Medidata is headquartered in New York City and has been recognized as a Leader by Everest Group and IDC. Discover more at Listen to our latest podcast, from Dreamers to Disruptors, and follow us at @Medidata.

About the Team :

The Marketing Advanced Analytics Director is an individual contributor role and reports to the Sr. Director of Marketing Operations. In this role, you will partner with cross-functional teams, including IT, data governance, marketing, and operations to identify opportunities and deliver analytics solutions using advanced analytical skills. This is a part strategy, part operational role. You'll be expected to initiate and own projects from whiteboard to launch to scale: identifying analytical needs, shaping and conducting analysis, and delivering insights to internal teams. You are responsible for developing and implementing data-driven strategies to drive business outcomes tied to revenue growth or marketing productivity using advanced analytics skills. The ideal candidate will have a strong background and understanding of the attribution landscape, including econometric modeling, customer propensity derivation, LTV prediction, and CRM databases.

Responsibilities :

• Lead in-depth analysis of marketing campaign performance across various channels (e.g., paid media, email, web, social) to identify trends, patterns, and opportunities for optimization; drive budget allocation decisions through modeling (ROI, MMM, MMA), directly influencing marketing spend.
• Move beyond historical, backward-looking reporting to predictive insights and prescriptive recommendations to not only forecast demand but provide specific strategic recommendations to stakeholders
• Build and manage experimentation (A/B testing) frameworks to test hypotheses and optimize marketing strategies.
• Partner with IT to build scalable data pipelines, writing reusable code to cleanse and integrate disparate datasets for long-term analytical rigor.
• Stay current with industry trends and emerging technologies, including AI and machine learning applications in marketing analytics, to identify opportunities for innovation and efficiency; develop AI-driven insights and automation, not just dashboards; foster data and AI-driven culture by upskilling teams and promoting literacy across Marketing.

Qualifications :

• Bachelor's degree in a quantitative field (Statistics, Economics, Mathematics); a Master's degree or MBA is highly preferred
• 10+ years in marketing analytics or data science preferably within the B2B technology or SaaS industry
• Deep expertise in B2B marketing analytics including campaigns, activation, lead scoring, pipeline attribution and digital analytics; strong understanding of ABM (Account-based Marketing), demand generation funnels, and customer lifecycle data
• Proven track record with attribution frameworks, KPI systems, and experimentation programs (A/B testing, MMM, MTA); deep knowledge of advanced statistical methods (econometrics, machine learning, propensity modeling, LTV forecasting etc)
• Strong technical proficiency with SQL, Python/R or SAS; experience with data visualization tools (e.g., Looker, Tableau) to effectively communicate findings.
• Ability to leverage cloud technologies for scalable data processing and analysis, deep understanding of marketing tech stacks (Salesforce, Google Analytics 4) and cross-system data flows
• Exceptional ability to synthesize complex data into clear business insights for technical and executive audiences
• Demonstrated ability to manage multiple projects, prioritize effectively, and work in a fast-paced, dynamic environment
• Systems thinking with focus on data quality, metric governance, and privacy-by-design principles

The salary range posted below refers only to positions that will be physically based in New York City. As with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location. Pay ranges for candidates in locations other than New York City, may differ based on the local market data in that region. The base salary pay range for this position located in New York is $160,000-$180,000.

Base pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides best-in-class benefits, including medical, dental, life and disability insurance; 401(k) matching; flexible paid time off; and 10 paid holidays per year.

Equal Employment Opportunity :

In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Applications will be accepted on an ongoing basis until the position is filled.

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Inclusion statement In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.