Full-Time

Senior Data Analytics Architect

Applied Data Science and Analytics, Data Engineering

Posted on 9/16/2025

Arizona State University

Arizona State University

No salary listed

Company Does Not Provide H1B Sponsorship

Tempe, AZ, USA

Hybrid

Hybrid work schedule; work from home two days a week.

Category
Data & Analytics (2)
,
Required Skills
Microsoft Azure
Agile
Python
BigQuery
SQL
Tableau
JIRA
SCRUM
Google Cloud Platform
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)
  • 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
Responsibilities
  • Build, automate, and maintain complex data workflows using GCP and Azure cloud environments
  • 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
  • Design, create, and maintain dynamic and parameterized dashboards in Looker Studio and/or PowerBI that provide real-time insights for stakeholders, including executives
  • 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)
  • 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
  • Present complex data insights and product roadmaps to both technical and non-technical audiences, including senior leadership and executives
Desired Qualifications
  • 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.
Arizona State University

Arizona State University

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