Remote-Ready Enterprise Analytics Analyst

CCA Global Partners, Inc.; St. Louis (MO); Hybrid; USD 70,000 - 95,000; Full time

Benefits offered by this job

Hybrid work schedule

Remote Mondays & Fridays

Job summary

CCA Global Partners, Inc. in St. Louis, MO seeks an Enterprise Analytics Analyst to build and manage data products, datasets, and automated pipelines. You will write SQL across systems, develop dashboards, and support decision-making for product, merchandising, marketing, and finance teams.

The ideal candidate has 3–5 years of hands-on data experience, strong SQL, and familiarity with enterprise BI platforms. Role offers hybrid scheduling with remote Mondays/Fridays and in-office Tue–Thu.

Qualifications

• 3-5 years of hands-on data work, including SQL authoring, data preparation, and analytics or reporting development.

Responsibilities

• Combine data from multiple enterprise systems into clean, reliable datasets and write/optimize SQL to build them.
• Build dashboards, reports, and datasets for corporate functions and leadership with guidance from senior analytics team.
• Develop automated data pipelines and partner with data engineering to operationalize prototypes into platform data infrastructure.
• Partner with stakeholders to identify needs and shape analytical solutions; iterate on deliverables as priorities evolve.
• Answer data questions, perform ad-hoc analyses, and escalate to senior analytics when needed.
• Contribute to the new analytics function by explaining data and tools to stakeholders and supporting executive work.

Skills

SQL proficiency

Data analytics

Relational databases

Presentation skills

AI tools

Entrepreneurial mindset

Tools

MicroStrategy

Power BI

Tableau

Python

Job description

CCA Global Partners, Inc. in St. Louis, MO seeks an Enterprise Analytics Analyst to build and manage data products, datasets, and automated pipelines. You will write SQL across systems, develop dashboards, and support decision-making for product, merchandising, marketing, and finance teams.

The ideal candidate has 3–5 years of hands-on data experience, strong SQL, and familiarity with enterprise BI platforms. Role offers hybrid scheduling with remote Mondays/Fridays and in-office Tue–Thu.