Senior Analyst, Customer Data & Insights

Arizona Cardinals Football Club•Tempe, AZ

1d•Onsite

About The Position

The Customer Data & Insights Analyst plays a critical role in connecting customer data across systems to drive marketing effectiveness, revenue growth, and customer engagement. This role serves as a strategic partner to Marketing, Sales, and Business Intelligence by translating complex data into actionable insights and scalable solutions. This individual will bridge the gap between frontend systems (e.g., Salesforce, Marketing Cloud) and backend data architecture, ensuring that customer data is accessible, accurate, and actionable across the organization.

Requirements

Bachelor’s degree required, preference for major in Data Analytics, Statistics, or Economics
At least two (2) years of experience in data analytics, business intelligence, or a related role, 3 -5 years of experience preferred
Strong SQL skills including the ability to write complex queries, joins, and transformations across multiple data sources
Experience working with CRM systems, Salesforce preferred
Familiarity with Salesforce Marketing Cloud concepts such as data extensions, segmentation, and campaign execution
Experience with data visualization tools, preferably Power BI
Strong understanding of relational data models and data warehousing concepts
Ability to translate business needs into data requirements and solutions
Excellent communication skills with both technical and non-technical stakeholders
Experience working with marketing, sales, or customer analytics data
Familiarity with data integration and pipeline concepts (ETL/ELT processes)
Experience with customer identity resolution or "single customer view" concepts
Exposure to tools such as data enrichment platforms, form capture tools, or customer engagement platforms
Must successfully complete pre-employment screening, including a background check

Responsibilities

Work across multiple data systems and the data warehouse to support a unified customer data strategy
Write complex SQL queries across integrated data sources to enable analysis, segmentation, and activation
Support system integration efforts and contribute to the development of a single, connected view of the customer
Develop a deep understanding of the organization's customer data ecosystem, including ticketing, CRM, marketing platforms, and third-party data sources
Integrate and analyze data from systems such as Salesforce, Marketing Cloud, ticketing platforms, merchandise, and league-provided datasets
Partner with Data Engineering to support data pipelines, transformations, and data model design
Support the development and maintenance of a unified customer view across systems
Act as the primary data liaison to the Marketing team
Support the creation and optimization of audiences and data extensions within Marketing Cloud
Translate marketing needs into scalable data solutions (segmentation, targeting, campaign measurement)
Enable self-service marketing capabilities while providing SQL support for more complex use cases
Ensure data is structured to support efficient, drag-and-drop campaign execution
Maintain a strong working knowledge of Salesforce data structures (objects, relationships, key fields)
Collaborate with the CRM Administrator on data architecture and enhancements
Extract, interpret, and validate Salesforce data via backend systems (SQL/data warehouse)
Build and maintain dashboards and reports in Power BI to support Marketing, Sales, and leadership
Deliver insights on customer behavior, campaign performance, and revenue opportunities
Support Sales through reporting, enrichment insights, and training on available data tools
Communicate insights at both high-level strategic and detailed operational levels
Serve as a subject matter expert on how various platforms contribute to the customer data ecosystem, including:
Data collection tools (e.g., forms, sweepstakes platforms)
Marketing and engagement tools
Data enrichment providers
Help evaluate and integrate new tools and data sources
Document data flows and system interactions to improve transparency and usability
Write complex SQL queries to support business questions, marketing initiatives, and operational needs
Support the preparing and validating of datasets for modeling
Assist with troubleshooting data discrepancies and ensuring data quality
Other duties assigned