Senior Analyst, Data Science - Temporary Worker

dentsu•New York, NY

10d•$46 - $61•Hybrid

About The Position

Dentsu’s Data Science team develops robust, actionable solutions to help clients achieve business goals and improve decision-making through customer analytics. The Senior Analyst applies advanced statistical and data engineering methods to customer analytics, leads projects through completion, and turns business questions into measurement plans, analyses, and recommendations. The role owns campaign measurement from planning through evaluation, develops experiments and audience insights, and builds scalable analytical tools and infrastructure. It partners with marketing, media, research, growth, product, and data engineering teams and shares research and methods that improve analytical quality and marketing effectiveness. The position is based in the San Francisco/Bay Area or New York and follows a hybrid arrangement with three days in the office. The anticipated start is ASAP, and the role is expected to last approximately 12 months. The hourly pay range is $45.61–$61.00. Temporary employees are eligible for paid holidays under dentsu policy and safe and sick time; the position is not eligible for other benefits or compensation.

Requirements

Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Data Science, or equivalent practical experience.
At least 3 years of experience in data science, analytics, or a related quantitative role.
Advanced SQL skills and experience querying, analyzing, and validating large datasets.
Proficiency in Python or R and experience with relevant analytical and visualization libraries.
Strong knowledge of regression, hypothesis testing, experimental design, and causal inference, including hands-on experience designing and analyzing A/B tests and measuring marketing impact.
Experience building and maintaining data pipelines and analytical datasets using SQL and Python, including data integration, transformation, validation, and automated reporting.
Ability to independently manage cross-functional stakeholder relationships, communicate progress and risks proactively, and translate complex findings into clear recommendations for non-technical audiences and leadership.
Experience using AI tools such as Claude for coding, analysis, automation, and analytical tool development, with careful validation of generated outputs.

Nice To Haves

Familiarity with geo experiments, brand lift studies, survey analysis, or marketing mix modeling.

Responsibilities

Define marketing goals, success metrics, learning agendas, and measurement strategies, translating business questions into clear analysis plans.
Own campaign measurement from pre-launch planning through in-flight monitoring and post-campaign evaluation; identify performance issues and recommend optimizations.
Design, execute, and analyze A/B tests, holdout tests, geo experiments, and brand lift studies, including hypothesis development, metrics, sample-size and power calculations, validation, and recommendations.
Integrate consumer sentiment, survey responses, and behavioral data to develop audience insights for targeting and messaging.
Translate findings into recommendations on campaign strategy, media optimization, and investment, and guide stakeholders in using results for business decisions.
Develop scalable models, dashboards, reporting tools, AI-enabled automations, and measurement infrastructure for campaigns and evolving business needs.
Drive analytical tool development from scoping and brainstorming through prototyping and deployment.
Partner with marketing, media, research, growth, product, and data engineering teams to prioritize opportunities, align delivery plans, and present recommendations to leadership.
Lead focused research and knowledge-sharing initiatives, evaluating methodologies and tools that can improve analytical quality, efficiency, and marketing effectiveness.