Top Analysis Reporting Jobs in Oklahoma City, OK

Performs digital measurement analytics for emerging payments platforms, including data collection, validation, reporting, and feature-performance measurement. Partners with marketing, technology, digital, and analytics stakeholders to implement strategic priorities, deliver accurate insights, and support digital data strategy. The role also contributes to analytics roadmaps, project delivery, internal initiatives, and actionable business recommendations using SAS, SQL, Tableau, and Adobe Analytics.

Part-time, temporary grant observer responsible for conducting accurate visual observations of oncoming traffic, gathering and documenting data, identifying risks, recommending corrective actions, and supporting compliant grant implementation. Work occurs outdoors during daylight hours in Oklahoma from October through December 2026.

Analyze financial-crime data to detect unusual activity, validate results, and support reporting and investigations. Develop Tableau dashboards and SQL reports, resolve data-quality and system issues, automate manual processes, document business rules, and translate business requirements into technical solutions. Collaborate with management, business users, technical teams, database administrators, and vendors while providing responsive analytical support.

Build and operate a large-scale enterprise data platform spanning batch and streaming processing, lakehouse storage, Kafka infrastructure, APIs, observability, and agentic MCP interfaces. Develop reusable ingestion and data-quality frameworks, improve scalability and resilience, establish engineering practices, support production operations, and mentor engineers. The role requires deep ownership of distributed data infrastructure and practical use of AI coding agents.

Analyze business and operational data to identify trends, explain performance, and provide actionable insights. Build and maintain SQL and Python workflows, datasets, pipelines, and reports; validate data quality; apply statistical methods; translate stakeholder questions into analytical requirements; and automate manual processes to improve reporting efficiency and scalability.

Designs, develops, and maintains Snowflake data pipelines using Matillion for analytics and business intelligence. Responsibilities include ETL/ELT development, database optimization, data modeling, governance, quality assurance, documentation, troubleshooting, and integration of structured and unstructured data. The role uses Python, SQL, and PowerShell, collaborates with business and technical stakeholders, supports reporting initiatives, and evaluates emerging data technologies.

Leads decision support and data analysis projects, translating business requirements into reporting applications and analytical solutions. Develops complex programs using SAS, R, SQL, and database technologies; models data sources and flows; creates analytical methods and performance measures; interprets statistical results; and presents recommendations to stakeholders. Mentors colleagues, supports data governance and security frameworks, and consults with internal and external business partners.

Designs, builds, and maintains scalable data pipelines and warehouse solutions. Responsibilities include data collection, cleansing, validation, quality assurance, ETL, integrity audits, documentation, anomaly resolution, and technical requirements analysis. The engineer develops SQL-based solutions, Tableau reporting, AWS cloud data infrastructure, and automated testing processes while collaborating with customers and Agile/Scaled Agile teams. The role supports data-intensive research, supervision, regulation, payments, and economic analysis across the Federal Reserve System.

The Data Engineer will develop and maintain data pipelines, perform data extraction and transformation, and support data analytics across the enterprise.

Leads the design, development, optimization, migration, security, and administration of enterprise databases across SQL Server, Azure SQL, hybrid cloud, and related platforms. Provides Tier 2/3 troubleshooting, performance monitoring, capacity planning, ETL support, high availability, disaster recovery, compliance, documentation, and database integration with applications. Supports replication, failover testing, and scalable data operations while collaborating with developers, analysts, and IT teams.