Senior Data Analyst

Arizona State University•Scottsdale, AZ

20d•$71,500 - $90,000•Hybrid

About The Position

Do you have a passion for data analytics? Are you a master at transforming complex data into actionable insights that empower decision making? Then apply today for this Senior Data Analyst opportunity! EdPlus at ASU is a dynamic unit of Arizona State University focused on the design and scalable delivery of digital teaching and learning models to increase student success and reduce barriers to achievement in higher education. We advance the economic, social, cultural and overall health of the local, national and international communities served by ASU. Want to know more about working at EdPlus? Click here ! We are seeking a Senior Data Analyst to join our Marketing Technology & Analytics team. Every day you will make a difference in the lives of others by being responsible for transforming complex behavioral and marketing data into actionable insights. You will focus on analyzing user behavior across digital properties, building durable data models, and developing dashboards and data pipelines that empower teams across EdPlus to make data-informed decisions.

Requirements

Bachelor's degree and five (5) years of experience appropriate to the area of assignment/field; OR, Any equivalent combination of experience and/or training from which comparable knowledge, skills and abilities have been achieved.
Experience analyzing digital analytics and behavioral datasets.
Demonstrated advanced SQL knowledge and strong understanding of data modeling, transformation, and orchestration best practices.
Hands-on experience with dbt (building models, macros, tests, and documentation).
Demonstrated familiarity with Airflow, Prefect, or similar orchestration tools for managing data pipelines.
Experience working in a cloud data warehouse environment (BigQuery or Redshift preferred).
Demonstrated competence with Python for data validation, API integrations, or ETL tasks.
Demonstrated understanding of event-based tracking structures, user identity resolution, and behavioral datasets.
Demonstrated comfort analyzing behavioral patterns, conversion funnels, and user journeys to generate actionable insights.
Evidence of strong collaboration and documentation skills; able to translate data requirements between technical and non-technical teams.

Nice To Haves

Bachelor’s degree or higher in a related field.

Responsibilities

Build and maintain data models using Data Build Tool (dbt) to transform raw event-level data into business-ready datasets.
Work closely with cross-functional teams to extract valuable data from our analytics platforms, identify trends, and drive data-driven decision-making within the organization.
Design customized reports, dashboards, and data visualization solutions to effectively communicate insights and findings to stakeholders.
Partner with internal teams to define key performance indicators (KPIs) and develop measurement strategies to track marketing and business goals.
Collaborate with marketing teams to model and prepare datasets for downstream activation via our Custom Data Platform (CDP), ensuring high-quality audience and attribute data pipelines.
Maintain documentation of data models, lineage, and logic.
Contribute to team-wide standards for measurement and data governance.
Assume additional duties or projects as assigned.