Enterprise Analytics Analyst: Build Data Pipelines

CCA Global Partners, Inc.; Earth City (MO); Hybrid; USD 70,000 - 100,000; Full time

Benefits offered by this job

Hybrid work arrangement

Remote Mondays & Fridays

Job summary

CCA Global Partners in Saint Louis, MO is seeking an Enterprise Analytics Analyst to build and manage a portfolio of data products, datasets, reports, research, and automated pipelines that help teams across product, merchandising, marketing, and finance to make better decisions.

You will write SQL, integrate data from multiple sources, develop automated workflows, and partner with the data engineering team to move prototypes onto the platform.

Qualifications

• 3-5 years of hands-on data work with SQL, data prep and analytics.
• Strong SQL skills with multi-table queries for research and analysis.
• Working knowledge of relational databases.
• Experience presenting analyses to business stakeholders.
• Experience using AI tools for coding and automation.
• Interpersonal skills and ability to align across teams.
• Entrepreneurial, self-starter mindset.

Responsibilities

• Combine data from multiple enterprise systems into clean datasets.
• Write and optimize SQL to build reliable data assets.
• Deliver tools, datasets, reports, and dashboards for stakeholders.
• Develop automated workflows and data pipelines with engineering.
• Partner with stakeholders to uncover opportunities and shape solutions.
• Support executive-facing work and mentor others as needed.

Skills

SQL

Data pipelines

Relational DBs

Stakeholder comms

AI tools

Interpersonal skills

Entrepreneurial mindset

Tools

Python scripts

MicroStrategy

Power BI

Tableau

Job description

CCA Global Partners in Saint Louis, MO is seeking an Enterprise Analytics Analyst to build and manage a portfolio of data products, datasets, reports, research, and automated pipelines that help teams across product, merchandising, marketing, and finance to make better decisions.

You will write SQL, integrate data from multiple sources, develop automated workflows, and partner with the data engineering team to move prototypes onto the platform.