Senior Analyst, Data Science

Company Description

Digitas Health is the Agency of Now: the first global connected-health agency, purpose-built for marketing today. Digitas Health specializes in helping health brands navigate a complex and shifting media environment to create deeper, more relevant connections with their consumer and professional customers. With offices in Philadelphia, New York, San Francisco, and London, it is a member of the world’s largest healthcare communications network, Publicis Health. As a member of this elite network, Digitas Health is also a member of the Paris-based Publicis Groupe S.A. (Euronext Paris: FR0000130577), the world’s third-largest communications group, second-largest media counsel and buying group, and a leader in digital communications.

Web: www.digitashealth.com | Facebook: www.facebook.com/digitashealth | Twitter: www.twitter.com/digitas_health

Job Description

We’re searching for a Senior Analyst, Data Science who will be an important contributor within the core Data and Analytics (DNA) team. Data and Analytics is structured into four specialties: Data Intelligence, Data Strategy, Data Technology and Data Science. 

Responsibilities include:

• Improve the speed of reporting by creating automated processes to consolidate data from many internal, vendor, and application specific sources
• Applying data mining techniques, statistical analysis, and building high quality prediction models using languages such as Python, R, and SQL
• Use a variety of tools to deliver rapid-response insights through data mining techniques
• Improve and quality control for important deliverables
• Independently troubleshoot and address quality control issues, generating reports and analysis that may require the merging of multiple data sets
• Access sources including Google Analytics, Adobe Suite, Google Ad Words, and DFA to create customized reports and data pulls
• Utilize Excel and visualization tools (Tableau/Datorama/PowerBI) to pull data into custom charts, tables, and to showcase the most critical series of actionable business metrics
• Implement recommended data governance and quality processes inclusive data taxonomy and tagging standards
• Collaborate with partners to advance data-driven scale and sophistication
• Foster and contribute to a team environment

Qualifications

• Four-year degree in Mathematics, Statistics, Computer Science, Engineering, Data Science, Analytics, or related field.
• Master’s degree (preferred)
• 1+ years of professional hands-on experience with predictive modeling, measurement, and advanced analytics (including segmentation techniques) using large datasets.
• Proficiency in SQL, Python, R, JavaScript, manipulating large data tables and creating custom queries
• Expertise within the digital environment and in aligning marketing strategies with business needs
• Working knowledge of integrated marketing best practices
• Exposure to mobile, social, tablet measurement approaches and understanding of role of attribution and paths to conversions
• Strong organizational skills, with the ability to aggregate data from multiple sources
• Demonstrated understanding of digital tagging, tracking, QA, and maintenance
• Excellent written, oral communication and presentation skills
• Proficiency in Microsoft Excel and Powerpoint is required
• Working knowledge of the best data visualization, data manipulation and data storage solutions and product

Additional Information

Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact [email protected].

All your information will be kept confidential according to EEO guidelines.