Top Remote Analysis Reporting Jobs in Tulsa, OK

The Data Quality Analyst will manage customer data migrations, ensuring accuracy and success while working with internal teams to facilitate the process. They will spend 60% of their time with clients and 40% on technical tasks like writing SQL queries and analyzing data structures.

The Staff Data Engineer will manage data governance, ETL/ELT operations, design security for reporting, and support ML workloads, while evolving a self-service reporting platform.

The Senior Data Analyst will analyze product usage data, develop dashboards, and guide product decisions by translating complex data into actionable insights to improve clinician engagement and outcomes.

The Senior Data Architect designs and implements data architecture solutions, leveraging modern platforms and methodologies to enhance data management, modeling, and integration across applications and stakeholders.

The Principal Biostatistician will lead statistical analyses for Phase 1 studies and safety analyses for Phase 2/3 trials, serve as an unblinded DMC statistician, and contribute to regulatory submissions and study design discussions.

The Senior Data Engineer will design and build data pipelines on Azure Databricks, ensuring data security and governance while collaborating with clients and vendors on projects.

Lead scaling of a commercial channel data management platform for oncology/hematology. Manage vendor and data provider relationships, design data pipelines and governance, improve data quality, oversee data aggregation and provisioning for commercial insights, and ensure compliance, security, and documentation.

As a Business Analyst in Partnerships, you will build analytics infrastructure, identify data issues, and conduct market research to guide strategic decisions.

The Data and Reporting Architect will lead the design of data architectures and reporting systems, addressing complex data challenges and ensuring compliance with regulatory standards. Responsibilities include mentoring engineers, defining data quality frameworks, and collaborating with various teams to implement scalable solutions.

Drive Data Governance requirements, analyze and validate data, collaborate with stakeholders, and maintain Data Governance artifacts using SQL and Informatica tools.