Top Analysis Reporting Jobs in Oklahoma City, OK

Build and support GCP-based data pipelines, ETL/ELT processes, data models, analytics dashboards, and AI/ML solutions. Assist with BigQuery optimization, batch and streaming ingestion, Vertex AI and Gemini experimentation, MLOps, prompt engineering, embeddings, RAG, governance, data quality, and security. Participate in client requirements gathering, technical implementation, documentation, and collaboration with senior engineers and architects.

Build and optimize batch and streaming data pipelines, ETL/ELT processes, data models, and analytics solutions on Google Cloud. Support Vertex AI and Gemini-based ML solutions, MLOps, prompt engineering, embeddings, and RAG experimentation. Participate in client requirements gathering, architecture implementation, data governance, quality validation, security, monitoring, and documentation while collaborating with senior engineers and architects.

Analyzes personal lines insurance and digital product performance using SQL, BI tools, statistical methods, and financial modeling. Partners with product, experience, actuarial, finance, and operations teams to identify growth opportunities, optimize digital customer experiences, assess risks, support business cases, and influence leadership decisions. Applies AI and automation to improve analytical efficiency, communicates insights through presentations and reports, and mentors colleagues.

Conducts statistical research and labor market analysis for state and federal programs. Responsibilities include compiling, validating, and analyzing economic data; producing industry and occupation projections; creating statistical tables, charts, and reports; resolving survey data issues; consulting with employers and stakeholders; and meeting BLS and U.S. Department of Labor grant requirements.

Build and manage HR data pipelines, ETL/ELT processes, data warehouse models, and analytics workflows across cloud platforms. Ensure data quality, governance, security, and availability for People Analytics and HR stakeholders. Lead and mentor data engineers, collaborate with business and IT teams, and support reporting and analysis using tools such as Python, R, and business intelligence platforms.

Designs and develops data infrastructure, ETL pipelines, prototypes, and enterprise data assets supporting analytics and Data Science. Partners with business users, data scientists, and analytic engineers to deliver solutions from ideation through implementation. Responsibilities include data exploration, testing, validation, monitoring, predictive-modeling support, data visualization, and functional test execution. Provides technical guidance and mentors team members while promoting innovation and process improvement.

Leads the strategy, architecture, governance, reliability, and evolution of enterprise BI and analytics platforms. Oversees deployment, automation, security, monitoring, disaster recovery, integrations, licensing, vendor relationships, and cost optimization. Enables self-service analytics, leads incident response, and drives continuous improvement. Builds and mentors platform engineering teams, establishes operating models, and communicates platform strategy and performance to executives while partnering across technology, analytics, security, and business functions.

Design, build, operate, and optimize scalable batch and near-real-time data pipelines and modern Microsoft Fabric and Azure data solutions. Develop ETL/ELT processes, data models, governance and quality controls, CI/CD practices, monitoring, and secure integrations. Lead technical design, mentor engineers, troubleshoot production issues, support legacy-system modernization, and partner with analysts, stakeholders, and technology teams to deliver trusted analytics and reporting.

Leads actuarial financial data systems and marts, developing data solutions, extracts, reports, analyses, automations, validations, and executive reporting support. Manages data mart maintenance, audits, business requirements, technical specifications, user acceptance testing, and system implementations. Provides technical leadership, coordinates vendors and departments, trains junior staff, and advises project teams on data architecture, business rules, configuration, and financial data quality.

Designs, builds, and maintains scalable data infrastructure, ETL/ELT pipelines, data models, integrations, and APIs using cloud and database technologies. Ensures data quality, governance, security, availability, and performance across enterprise systems. Collaborates with software engineers, analysts, data scientists, and stakeholders while documenting architectures and supporting Agile/DevOps practices in regulated or classified environments.

Analyzes customer loyalty data to generate actionable insights, recommendations, visualizations, and narratives for clients. Builds audience lists, applies segmentation and statistical modeling techniques, develops test plans, and collaborates with CRM, Data Engineering, Business Intelligence, Strategy, and Client Services teams. The role is client-facing and manages request prioritization while supporting loyalty marketing initiatives and measurable business outcomes.