Senior Data Analyst
Digitas is a highly-caffeinated playground where brilliant minds come together to bring bold, award-winning ideas to life.
The Data & Analysis team uses data-driven insights to fuel strategic growth for clients. We believe that data should never exist in a vacuum; instead, it should be put to work to bring the best ideas and stories to our clients.
To help with this, we are looking for an outstanding Senior Data Analyst – someone who has a knack for understanding data and telling the story of why it matters. You will learn from the best in the business as you work with the team to bring actionable insights to our clients. Up for it? Read on.
Expectations of a Senior Data Analyst
· Data Analysis and Reporting: Working in a variety of paid media, website, and CRM platforms for the creation of campaign performance, recurring reports and dashboards, identifying key insights and trends for optimization.
● Campaign Measurement: Develop and maintain dashboards and metrics to measure the effectiveness of paid media, email, SMS, website personalization, and other CRM efforts.
● Audience Insights: Provide detailed analyses of audience segments, campaign impact, and media targeting; support in developing effective data driven strategies.
● Data Science Support: Assist the data science team in data modeling and audience expansion to support audience growth and engagement.
· Optimization: Collaborate with internal teams to optimize active campaigns in real-time, recommending adjustments based on data-driven insights. Participating in ad hoc requests from stakeholders such as root-cause analysis, dashboard improvements etc.
● Paid Media Integration: Analyze the effectiveness of paid media acquisitions for CRM programs, ensuring proper data flows between media platforms and CRM systems.
● Data Operations: Support data operations, including the integration of 1P data with 2P/3P sources and clean room environments for improved targeting and personalization.
● Test-and-Learn Framework: Develop and manage a test-and-learn framework, including hypothesis formulation and oversight of test measurement to derive actionable insights.
● Stakeholder Collaboration: Collaborate with internal stakeholders, including specialist data teams, technology, and operations, to develop and implement innovative data solutions that support business objectives.
● Measurement Solutions: Advise and support the execution of measurement solutions, like Marketing Mix Modeling (MMM), to provide clients with comprehensive insights into campaign performance and optimization opportunities.
● Client Presentations and Proposals: Support the development of client-facing presentations and proposals; focusing on the business impact of data-driven strategies, ensuring alignment with client objectives and showcasing measurable outcomes.