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Enterprise Analytics Analyst

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: CCA Global Partners
Full Time position
Listed on 2026-11-02
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Data Engineering
Salary/Wage Range or Industry Benchmark: 70000 - 95000 USD Yearly USD 70000.00 95000.00 YEAR
Job Description & How to Apply Below
Location: St. Louis

Are you passionate about people, entrepreneurship, and community? At CCA Global Partners, we connect independent, family-owned businesses with the scale, resources, and innovation they need to compete in today's big-box world. If this resonates with you, your next great opportunity might be just around the corner!

Join our Enterprise Analytics team as an Enterprise Analytics Analyst
, in our St. Louis, MO office where you'll be responsible for building and managing a portfolio of data products, datasets, reports, research, and automated pipelines that help teams across the organization, including product data, merchandising, marketing, and finance, make better decisions. As a member of the newly established Enterprise Analytics function, the Analyst writes SQL, builds datasets from multiple corporate systems as well as disparate external sources, develops automation workflows, and solves open-ended business problems, partnering with Technology Product Delivery and the data engineering team to move durable work onto the platform.

This position is a hands-on, growth-oriented role for an analyst ready to take on broader responsibility. Our ideal candidate is intellectually curious, detail-oriented, and investigative by nature, with the confidence to navigate ambiguity, build something new, and communicate credibly with senior audiences. We offer a hybrid work schedule with the option to work remotely on Mondays and Fridays and collaborate in the office from Tuesdays through Thursdays.

In

this role, you will provide:
  • Combine data from multiple enterprise systems into clean, reliable, well-documented datasets that support insight-driven analysis, writing and optimizing the SQL needed to build them.
  • Build and deliver analytical tools, datasets, reports, and dashboards for corporate functions, business stakeholders, and leadership audiences, with review and guidance from senior analytics team members.
  • Develop automated workflows and recurring data pipelines and partner with Technology Product Delivery and the data engineering team to operationalize proven prototypes into platform-supported data infrastructure.
  • Partner with stakeholders across the enterprise to identify opportunities, understand needs, and shape the right analytical solution; iterate on deliverables and keep partners informed as priorities and requirements evolve.
  • Serve as a resource for corporate data questions, fielding ad-hoc analyses and one-off requests and escalating to senior analytics leaders as needed.
  • Contribute to the foundations of the new analytics function in partnership with analytics leadership, explain new tools, data, and methodologies to stakeholders and support analytics leadership on executive-facing work.
Are you a match? We're looking for someone with:
  • 3-5 years of hands-on data work, including SQL authoring, data preparation, and analytics or reporting development.
  • Strong SQL skills, including independently writing multi-table queries for research and analysis.
  • Working knowledge of relational databases.
  • Experience presenting analysis and recommendations to business stakeholders and explaining data and findings clearly to technical and non-technical audiences.
  • Experience using AI tools to work more effectively, such as debugging code or automating repetitive tasks.
  • Strong interpersonal and relationship-building skills, including working with colleagues at every level and navigating differing priorities across teams.
  • Entrepreneurial self-starter mindset suited to an environment where processes are still being defined.
Strongly Preferred:
  • Experience writing and maintaining Python scripts or data pipelines.
  • Familiarity with Micro Strategy or a comparable enterprise BI platform (e.g., Power BI, Tableau).
  • Experience…
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