Top Senior Analysis Reporting Jobs in Oklahoma City, OK

Lead development and execution of forward-looking drug spend forecasting models, quantify macro-market impacts, partner with clinical and pricing teams, translate analytical findings for executives and clients, build automated reporting with Data Analytics, support sales/proposals, engage brokers/consultants, and drive strategic growth projects.

The role involves leading comprehensive testing of Federal Amazon Connect solutions, ensuring compliance with security standards, mitigating risks, and collaborating with cross-functional teams to deliver high-quality products.

Analyze commercial data for sales, marketing, service and support to create metrics and insights for optimization. Collaborate with cross-functional teams to provide data-driven recommendations and manage business intelligence tools.

Design, build, and operate large-scale AWS-based ETL pipelines using Glue/PySpark to ingest, transform, and curate multi-format data into Apache Iceberg tables. Ensure data quality, metadata management, semantic layer creation (Trino/Athena), CloudFormation deployments, documentation, and compliance within a FedRAMP federal agile environment.

Perform customer analytics and lifecycle measurement for subscription and auto insurance products. Build dbt/Snowflake data models, Tableau dashboards, survival and churn analyses, propensity datasets, A/B tests, pricing and LTV analyses, and recommendation logic. Partner with data engineers, data scientists, product, and marketing to operationalize personalization and inform retention, pricing, and product strategies.

As Tokenization Lead, you will manage the development and integration of tokenized real-world assets on the Monad blockchain, overseeing issuer onboarding and ensuring market liquidity.

The Databricks Architect leads data engineering solutions, designing scalable Databricks platforms and managing cloud implementations. They work with clients, ensuring technical alignment and project execution.

Administer and maintain CRM and data systems (EveryAction, Salesforce, BigQuery, CARTO), respond to staff and affiliate data/tech requests, ensure data quality and de-duplication, create and deliver training materials, build network capacity, manage vendor/consultant relationships, and travel occasionally for in-person trainings and support.

Design, build, and maintain scalable ETL/data pipelines across distributed systems. Ensure data quality, integrity, security, and high availability. Monitor and optimize pipeline performance, perform root cause analysis, document systems, collaborate with global teams, and participate in on-call rotations to support production data systems.

Lead architecture and hands-on engineering to design, scale, and govern a cloud-native lakehouse using Databricks and Microsoft Fabric. Build batch/streaming pipelines, ensure HIPAA-compliant PHI handling, produce analytics-ready datasets, mentor engineers, and drive platform strategy, governance, and reliability.