Top Data & Analytics Jobs in Portland, OR
The RevOps Analyst will support the sales team by providing analytics and insights, managing sales reporting, assisting in sales funnel management, and evaluating marketing and sales productivity.
The Database Engineer at sFOX will design, build, and maintain high-volume RDBMS systems for real-time trading applications. The role involves collaborating with software engineers, resolving complex database issues, and enhancing data management standards. Strong knowledge of MySQL and experience in transaction-heavy systems are crucial.
The Lead Data Manager oversees all data management activities in clinical trials, coordinating data management tasks, client communications, and project timelines. Responsibilities include creating study documentation, user acceptance testing, data review, and training Data Managers. The role requires maintaining data quality and conducting project-specific training while ensuring compliance in deliverables and documentation.
Looking for a Senior Oracle Database Administrator with Oracle Goldengate 21c Microservices experience to deploy and maintain database clusters, automate tasks, optimize code, and participate in on-call rotation. Must have experience in Oracle 12c/19c, Data Guard, performance tuning, and PL/SQL programming.
As a member of the Data Ops team, you will process investment data from venture capital firms, analyze financial statements, assist in onboarding new customers, ensure data accuracy, and collaborate with various departments to streamline data workflows.
In this role, you will lead the development of AWS-based data pipelines and analytics, manage infrastructure-as-code, optimize databases, and support data-driven decisions across Dwolla's API platform, leveraging your skills in DataOps and cloud technologies.
The Senior Data Quality Analyst will enhance data quality through automation and collaboration with data operations and reporting teams, applying statistical methods and tools to ensure accuracy, completeness, and reliability of data for government health programs, particularly for CMS. Responsibilities include analyzing data, developing quality policies, and presenting findings to stakeholders.
As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.
The Epic Analyst role involves creating architectural diagrams to illustrate interactions between Epic systems using FHIR and HL7 standards, focusing on EMR records related to appointments, scheduling, orders, and incident management.
The Research Associate role at a new AI startup involves data collection, QA, data analysis, and improving AI interactions with humans. This position offers opportunities for career advancement and learning new software skills on the job.
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