Senior Marketing Analyst

Medidata Solutions; New York (NY); Hybrid; USD 79,500 - 106,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

401(k) matching

Paid time off

Job summary

Medidata is seeking a data-driven analytics professional to join the Marketing Performance team in a hybrid role in New York. You will build dashboards in Salesforce, Tableau and Looker Studio, apply AI tools to accelerate insights, and collaborate with marketing operations to shape data-driven decisions.

The role requires at least five years in analytics or related roles, with strong SQL, Python, and data visualization skills.

Qualifications

• Bachelor's degree in a relevant field.
• Minimum 5 years of analytics or marketing operations experience.
• Strong dashboard-building experience in Salesforce, Tableau, and Looker Studio.
• Experience with AI tools for analysis and reporting.
• Life science or technology industry experience is a plus.

Responsibilities

• Analyze large data sets and build dashboards in Salesforce, Tableau and Looker Studio.
• Leverage AI and machine learning to accelerate analytics and insights.
• Collaborate with cross-functional teams to collect requirements and drive buy-in.
• Coordinate analysis design and optimize analytical processes.
• Translate complex findings into clear business stories for stakeholders.
• Support marketing analytics initiatives and campaigns with data-driven insights.

Skills

Dashboard development

Salesforce

Tableau

Looker Studio

Python

SQL

R/SAS

Google Analytics

AI tools in analytics

Presentation skills

Education

Bachelor's degree

Master's degree preferred

Tools

Salesforce

Tableau

Looker Studio

Python

SQL

R

SAS

Google Analytics

Job description

Location

This is a hybrid remote/in-office role.

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 following 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 www.medidata.com. Listen to our latest podcast, from Dreamers to Disruptors, and follow us at @Medidata.

About the Team

The Marketing Performance team is in Marketing. The team is tasked with providing insights on factors that will help drive growth in the business by analyzing and identifying opportunities to enhance customer identification, engagement, pipeline and eventually revenue.

Responsibilities

• Analytics skills: Independently work on analytical projects involving large amounts of data, statistical modeling / machine learning. Performs exploratory data analyses using internal and 3rd party data sources. Builds and modifies dashboards in Salesforce, Tableau and Looker Studio.
• AI-Enabled Marketing Analytics: Leverage AI and machine learning tools to accelerate marketing analysis, insight generation, and decision support. Use generative AI to summarize performance trends, identify anomalies, and automate recurring analytical tasks. Partner with marketing operations and data teams to evaluate AI-driven optimization opportunities across campaigns, targeting, and customer journeys
• Problem-solving skills: Perform and share analyses to guide decision making and participate in and support interactions within Medidata to collect business requirements and drive analysis buy-in; develop alternative methods of analyzing marketing performance and opportunities for new campaign approaches and techniques
• Project management: Coordinate and assist in the analysis design, optimize existing analytical process to improve efficiency and effectiveness
• Teamwork skills: Work across an interdisciplinary team to prioritize and coordinate tasks, monitor progress and issues, and facilitate team meetings
• Communication skills: Translate and summarize technical and analytical information for business audiences and develop stories that help address business problems
• Support execution of Marketing analytical projects involving large amounts of data, statistical modeling / machine learning
• Work across an interdisciplinary team to prioritize and coordinate tasks, monitor progress and issues, and facilitate team meetings
• Perform and share analyses to guide decision making
• Participate in and support interactions within Medidata to collect business requirements and drive analysis buy-in
• Coordinate and assist in the analysis design, optimize existing analytical process to improve efficiency and effectiveness
• Help develop internal communication materials, translating and summarizing technical and analytical information for business audiences and developing key messaging

Qualifications

• Demonstrated ability to build dashboards and reports in Salesforce, Tableau and Looker Studio
• Demonstrated ability to write code in Python, as well as SQL, R or SAS. Also knowledgeable in Google Analytics and capability to build dashboards in Looker Studio.
• Prior experience with life science or technology industries is a plus but not required
• Minimum 5 years of experience in Analytics, Marketing Operations, Business Planning or related role
• The minimum education level required (Bachelor's, Master's, etc.): Bachelor's degree. Master's degree preferred.
• The fields of study: Economics, Business Administration, Statistics, Data Science, Computer Science, Marketing, Management Information Systems, Operations Research or related fields
• Ability to manage work in teams of widely varying skills and levels
• Familiarity with analytics concepts such as databases, programming, statistical modeling, machine learning, data visualization
• Deep understanding in the usage of AI tools in performing analyses and providing reports
• Proven experience building dashboards and reports in Salesforce and Tableau
• Experience with Python as well as R, SAS or SQL. Also comfortable using Google Analytics.
• Advanced skills in Google Office Suite as well as the MS Office, specifically PowerPoint, Excel and Word
• Excellent presentation, verbal and written communication skills, great attention to detail

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 $79,500-$106,000.

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 benefits, including medical, dental, life and disability insurance, 401(k) matching, family leave, flexible paid time off; and 10 paid holidays per year.

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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.

We will accept applications on an ongoing basis until we fill the position.

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.

Compensation for the role will be commensurate with experience. The total expected compensation range will be between $79500 and $106000, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.