Reporting Analyst

Reporting Analyst

Location: St. Louis, MO – Onsite

Job Summary

We are seeking an experienced Enterprise Reporting Architect to define and drive the architecture, standards, design, and development of enterprise reporting and analytics solutions. This is a hands-on individual contributor role focused on delivering scalable, secure, and insight-driven reporting solutions for operational, tactical, and executive decision-making.

Key Responsibilities

• Define and maintain enterprise reporting strategy, roadmap, and architectural standards.
• Design scalable reporting ecosystems integrating multiple platforms, tools, and data sources.
• Develop enterprise reports, dashboards, scorecards, and visualizations.
• Establish standards for semantic layers, data models, KPIs, metadata, and reporting governance.
• Partner with senior leaders to develop executive dashboards and decision-support solutions.
• Ensure consistency and standardization of enterprise metrics and reporting.
• Evaluate and implement modern BI, AI-enabled analytics, and reporting technologies.
• Support natural language querying, automated insights, predictive analytics, and AI-assisted reporting.
• Collaborate with business stakeholders, architects, engineering teams, and developers.
• Provide architectural guidance while remaining hands-on with report and dashboard development.
• Apply data governance, security, access controls, and quality standards to reporting solutions.

Required Skills

• Strong experience in enterprise reporting architecture and business intelligence.
• Hands-on experience developing reports, dashboards, scorecards, and self-service analytics.
• Experience with BI and visualization platforms such as Tableau, Power BI, Splunk, AWS QuickSight.
• Strong understanding of semantic modeling, data architecture, KPI frameworks, metadata, and reporting governance.
• Experience with cloud-based data platforms such as AWS S3 and Athena.
• Knowledge of enterprise data standardization frameworks such as Common Event Model (CEM).
• Understanding of AI-enabled BI, natural language insights, predictive analytics, and generative AI use cases.
• Strong knowledge of data security, access models, and governance principles.

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Intelligence, or related field.
• 7+ years of experience in BI, reporting architecture, analytics strategy, or enterprise data design.
• Experience with enterprise-scale reporting transformations or modern BI architecture initiatives.
• Experience with AI/ML-enabled analytics capabilities.
• Strong executive stakeholder engagement and communication skills.
• Ability to translate business objectives into scalable reporting solutions.