Digital Marketing Data Analyst

On-siteSeniorData Analystposted 110mo ago

✦Role summaryAI-generated

This role requires a data analyst with expertise in blending digital marketing insights with analytical rigor, focusing on attribution, audience segmentation, and A/B testing across paid/social/CRM datasets. The ideal candidate will drive data-driven decisions in an entrepreneurial marketing environment while leveraging regression and multi-channel analytics.

Skills required

Attribution modeling User journey analysis Audiences segmentation Exploratory regression A/B testing SQL Google analytics Marketing data pipelines Data visualization Multi-channel analytics Excel SAS R Python

About this role

Description:Needs both analytics and digital.

Analysts are professionals who display intellectual curiosity, creativity and a willingness to approach research in new and different ways as part of an integrated marketing and communications model. All Analysts operate fluidly in an entrepreneurial environment. In this role, the Senior Digital Data Analyst will handle projects that include:

· Attribution modeling

· Tracking a user journey through various channels and segmenting audiences by analyzing various datasets from: paid media, paid/organic social, website, CRM, SEM/SEO

· Identifying patterns through exploratory regression analyses across datasets

· A/B testing

Requirements

· 3+ years of experience in digital analytics with direct experience working with a web analytics suite such as Google Analytics

· Passion for the digital space Ability to demonstrate in-depth knowledge of agency’s business, products, markets and influencers

· Ability to dig into multiple data sets and tell a story based on the findings

· Ability to analyze both quantitative and qualitative research to connect back to the client’s business needs

· Ability to maintain timelines and budgets

· Ability to present in new business and client meetings

· Proficiency in the use of software like Microsoft Excel, SPSS, SAS

· Understanding of statistical languages such as R or Python a plus

· Degree in a quantitative field (i.e., business, economics, computer science, mathematics etc.) a plus

· Background in qualitative research, marketing analytics/science a plus

· Strong communication and writing skills

· Ability to multitask and deliver quality work on deadlines

· Ability to plan measurement strategies for key performance indicators, and monitor existing properties to ensure all tracking and data-collection works properly

· Ability to extract core insights from data to develop testing and optimization strategies across tactics

· Ability to develop and recommend scalable best practices for use in our clients’ projects

· Ability to develop effective and persuasive presentations and memos demonstrating the value of our work for client teams and business development