What you'll do

Data analytics architecture: Build, automate, and maintain complex data workflows using GCP and Azure cloud environments
Data modeling & analysis: Develop and manage robust datasets, including web-behavior data from sources like GA4, to power advanced analytics, such as marketing attribution, constituent insights, and funnel analysis
Dashboarding & reporting: Design, create, and maintain dynamic and parameterized dashboards in Looker Studio and/or PowerBI that provide real-time insights for stakeholders, including executives
Quality assurance: Conduct thorough contextual data auditing and QA to validate cross-event tracking, remove redundancies, and ensure the accuracy and reliability of key performance indicators (KPIs)
Collaboration & mentorship: Work collaboratively with cross-functional teams, including brand, marketing, data engineering, and others, to gather requirements and align data solutions with strategic business goals. Mentor and guide junior analysts to improve their technical skills and data storytelling abilities
Technical communication: Present complex data insights and product roadmaps to both technical and non-technical audiences, including senior leadership and executives

What you'll need

Advanced proficiency in SQL and experience with Python for data analysis
Expertise in Google Cloud Platform (GCP), particularly BigQuery, including scheduled queries, partitioning, and batch optimization
Strong experience with analytics platforms like Google Analytics 4 (GA4) and working with raw web-behavior data
Proficiency in data visualization tools such as Looker Studio, PowerBI and/or Tableau
Experience with project management tools like Jira and familiarity with agile frameworks (Scrum, Sprint Planning)
Excellent communication, leadership, and problem-solving skills with a track record of improving processes and enhancing data reliability
Must be able to query relational and non-relational databases

Bachelor's degree in Statistics, Data Science, Computer Science, or a related field
5+ years of experience in marketing data science, data analytics, data architecture or a related field
OR any equivalent combination of experience and/or education from which comparable knowledge, skills and abilities have been achieved

Master's degree in Statistics, Data Science, Computer Science, or a related field
Machine Learning operations
Advanced statistical analysis
Familiarity with GCP and Azure cloud environments
Familiarity with customer data platforms such as Growthloop, Tealium, etc.