Top Analysis Reporting Jobs in St. Louis, MO

Lead pre-sales technical engagements to design and optimize scalable cloud lakehouse data platforms (Snowflake/Databricks). Provide architecture reviews, ETL/ELT pipeline design, governance and AI-ready data foundations, support services sales, and translate technical tradeoffs into actionable recommendations for engineering and executive stakeholders.

Develop and implement business intelligence solutions from requirements through design, development, testing, and deployment. Collaborate with business partners, define architectural improvements, design applications, perform root cause analysis, and conduct advanced performance tuning. The role requires experience with big data, streaming technologies, containers or Linux, REST APIs, and microservices.

The Business System Analyst will act as a liaison between projects and stakeholders, analyzing business needs and documenting requirements, testing, and training. The role includes creating traceability matrices and project documentation while collaborating with different teams.

The role involves gathering requirements, creating business requirement documents (BRD), functional specifications (FS), and testing solutions for Oracle MDM applications.

Leads data engineering for Payment Operations monitoring transformation. Designs and maintains Snowflake pipelines, tables, stored procedures, monitoring scenarios, KPI infrastructure, and data quality controls. Serves as the Snowflake subject matter expert, documents architecture and operational processes, guides technical partners, and translates business needs into scalable data solutions. The role requires production data engineering experience, advanced SQL, Snowflake expertise, job scheduling, pipeline operations, and stakeholder communication.

The Sales Analyst analyzes sales and marketing data to improve efficiency and revenue. Responsibilities include KPI development, market analysis, and CRM data management.

Design and implement end-to-end data and analytics solutions on Microsoft Fabric. Lead architecture for lakehouse, data warehouse, pipelines (batch/streaming), semantic models (Power BI), governance, security (RBAC, lineage), performance optimization, and integrations with Azure and external systems. Provide technical leadership, mentorship, and governance for scalable, cost-effective Fabric platforms.

Owner of multiple third-party and in-house applications; leads data warehouse operations, translates business requirements into technical designs, develops and tests solutions, troubleshoots issues, evaluates products, mentors junior staff, and collaborates with vendors across project lifecycles.

Lead growth of client practice in Communications, Media & Technology by defining analytics strategies, developing thought leadership, and delivering large-scale client engagements. Oversee customer analytics delivery, CRM modeling, reporting, and predictive analytics to drive client outcomes and advise on data-driven solutions.

Design, build, and maintain Power BI and Tableau dashboards; analyze large, complex datasets using SQL, Python, and statistical methods; partner with data engineering and business stakeholders to ensure data quality; translate findings into clear, actionable stories and executive-level presentations; support firmwide analytics growth and automation.