Careers in Analytics

Dentsu is a modern marketing solutions company. Our mission is to help clients navigate, progress and thrive in a world of change. Businesses rely on our integrated network of agencies and specialized practices to champion meaningful progress through creative, media, commerce, data and technology. Part of Dentsu Group, our global network comprises 66,000 diverse people in 143 countries, who are dedicated to teaming for growth and good. Some of our award-winning agencies include 360i, Carat, dentsumcgarrybowen, DEG, dentsuX, iProspect and Merkle. Follow us on Twitter @DentsuUSA and visit dentsu.com/us.

Diversity is embedded in who we are and all that we do: our mindset, our solutions, and in our teams to empower an inclusive, equitable environment. We put our people at the center, creating space for growth, understanding and learning so they can thrive. Our differences make us richer and enable stronger relationships with each other and foster greater impact for our clients. We engage with our communities to drive positive social impact by fostering equity and working to create a digital society that works for all.

Join dentsu’s Analytics team to fully harness the power of data and technology to optimize clients’ performance across all marketing and media channels. Work alongside analysts, data scientists and engineers to uncover and activate insights using advanced analytics techniques and world-class tools and technology.

As an Associate on the Analytics team, you will apply analytics, data science, statistical and engineering techniques to innovate and optimize how clients reach their target audiences and maximize their marketing ROI. You will work on an Analytics team at one of dentsu’s integrated network agencies including Merkle, Carat, DentsuX/360i, or iProspect.

Candidates will be assessed for their fit in various types of Analytics roles, across all of our office locations, including but not limited to:

Analyst, Customer Analytics: Apply advanced analytics and data science to engage target customers, reduce customer churn, deepen customer loyalty and grow lifetime value. Employ segmentation, predictive analysis, modeling, machine learning, and AI to prepare customer data for activation across campaigns, channels, and media.

Analyst, Digital Media Analytics: Unlock and apply insights across channels and audience segments to drive media (text, email, search, display and social) and website optimization. Integrate disparate data to present a unified view of what’s working and apply advanced approaches such as media-mix modeling, multi-touch attribution, and predictive analytics.

Analyst, Data & Analytics: Conduct data tidying, visualization, analysis, or statistics to transfer raw data into insights and recommendations for clients. Develop dashboards and predictive models to help make the right decisions and optimizations using in-house and 3rd party technologies.

Analyst, Data Engineering: Build scalable and effective data automation and analytics solutions alongside a team of engineers, analysts, and data scientists. Design warehouse solutions and analytics systems that are accessible and automated to efficiently consolidate data

Analyst, Business Intelligence: Synthesize data and results, identify trends, insights and actionable recommendations for internal teams and clients within project timelines. Collaborate with client strategy and media activation to deliver reports, measurement plans, dashboard creation, data sharing, and more.

• College degree in Analytics, Data Science, Statistics, Computer Science Engineering (or Business, Marketing, Advertising with a concentration in one of those areas) OR relevant experience
• Strong analytical, data insights, and problem-solving skills
• Demonstrate a high level of integrity, autonomy, and self-motivation
• Desire to learn the media industry with potential for growth into management roles and train and mentor junior team members
• Working knowledge of SQL, R, Python, data visualization in Tableau or Power BI
• Experience with ETL development, data modeling, data warehousing (for Data Engineering roles)

Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position.

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