ASU Enterprise Partners is looking to advance data-driven strategies, artifacts, and solutions by transforming large, complex datasets into reliable data products that produce simple, easy to understand resources in support of marketing and outreach strategies.
Requirements
- 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)
- Must be able to query relational and non-relational databases
Responsibilities
- 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
- Technical communication: Present complex data insights and product roadmaps to both technical and non-technical audiences, including senior leadership and executives
Other
- 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
- Excellent communication, leadership, and problem-solving skills with a track record of improving processes and enhancing data reliability
- Hybrid work schedule, comprehensive benefits package, including medical, dental, and vision insurance
- 401(k) plan with matching employer contribution
