Top Analysis Reporting Jobs in Oklahoma City, OK

Lead architecture and buildout of a new graph-backed enterprise data platform: design ingestion, graph and relational storage, entity resolution pipelines, temporal models, ETL/ELT pipelines, governance, APIs, and production connectors. Ship scalable graph data models, traversal queries, and platform roadmap while enabling observability, security, and containerized deployments.

Manage performance, reliability, and accountability for high-volume messaging programs. Build dashboards and alerting, run ad hoc analyses, coordinate incident response and vendor testing, conduct post-incident reviews, and maintain documentation and compliance tracking to inform program decisions and improvements.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

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

Design, build, and maintain batch and near-real-time data pipelines on Microsoft Fabric and Azure. Ingest, transform, and curate raw source data into analytics-ready tables, semantic models, and Power BI datasets. Ensure data governance, security, observability, and cost-efficient ELT/ETL workflows. Troubleshoot data quality and pipeline issues, document architecture and lineage, and collaborate with stakeholders to deliver reliable data products.

Design and govern enterprise data architecture for corporate services. Create blueprints for repositories and dimensional schemas, integrate operational and big data pipelines, manage metadata, remove duplicate/unused data, evaluate platforms, and advise executives on data strategy and governance.

Design and operate real-time and batch data pipelines (streaming telemetry and analytics) using Kafka, Cribl, ADX and Azure Data Factory. Ingest, model, and optimize high-volume data, apply medallion architecture, produce curated datasets and Power BI/Tableau dashboards, implement data governance and security, collaborate with stakeholders, and mentor junior engineers.

Lead ontology lifecycle: gather requirements, design OWL/RDF schemas, validate with SHACL/ShEx, map relational data via R2RML/RML, build/maintain knowledge graphs, coach SMEs, and collaborate with data engineering and AI teams to deliver standards-compliant semantic models.

Maintain and improve subsurface datasets and geoscience project environments; develop repeatable workflows, QA/QC standards, dashboards, and AI/ML-enabled tools; integrate subsurface, production, and commercial data to support geoscience teams and technical decision-making.

Lead digital measurement analytics for servicing platforms: design/validate data collection, build reporting and feature measurement, collaborate with stakeholders, mentor team members, and drive analytics roadmap and actionable insights.