Top Senior Analysis Reporting Jobs in Oklahoma City, OK

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Drives KPI reporting, dashboard and scorecard development, forecasting, trend analysis, data collection, and executive presentations. Partners with cross-functional teams and leadership to identify analytical needs, improve data quality and reporting processes, investigate metric fluctuations, and support operational decision-making. Builds standardized tools and templates, automates reporting, maintains data integrity, communicates findings, and develops work plans to meet deadlines.

Design and build integrations connecting legacy practice management systems to an AI platform. Responsibilities include AI-assisted schema mapping, data modeling, ETL pipelines, REST/SOAP APIs, data cleansing, quality monitoring, production troubleshooting, documentation, and collaboration across architecture, product, engineering, and operations teams. The role requires applying LLM tools to schema inference, field reconciliation, anomaly detection, and data-quality automation while handling healthcare data securely.

Designs and builds data models, schemas, and ETL/ELT pipelines for analytics, reporting, and machine learning workloads. Optimizes query performance and cloud data infrastructure, establishes data quality and governance practices, integrates datasets with BI and machine learning tools, documents workflows, and mentors junior engineers. Collaborates with data scientists, analysts, and product owners to translate business requirements into scalable technical solutions.

Leads the design, development, migration, and deployment of scalable data pipelines and cloud data solutions. Establishes reusable ingestion, transformation, quality, governance, compliance, and orchestration processes. Partners with business and BI stakeholders to define data requirements, support financial and operational reporting, and enable AI use cases. Requires expertise in cloud and big data technologies, DevOps, CI/CD, data management, and governance, with preferred experience in Databricks, Snowflake, data warehousing, and finance-domain data.

The Data Governance Analyst administers data governance platforms and processes, including enterprise data catalogs, Databricks Unity Catalog, metadata, lineage, data stewardship, MDM, privacy compliance, and data quality initiatives. The role leads catalog roadmaps, supports Osano, coordinates with data owners and engineering teams, monitors governance adoption and metrics, and develops scalable governance standards and procedures.

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.

Senior DBA responsible for designing, building, and maintaining MS SQL Server databases and ETL (SSIS) processes, managing a SQL Data Warehouse for reporting, optimizing performance, ensuring data integrity/recovery, and producing technical documentation.