Top Data & Analytics Jobs in Portland, OR
As a Senior Software Engineer in the Central AI team at Atlassian, you will build and maintain core infrastructure for machine learning. Responsibilities include solving complex problems, leading projects, and collaborating with teams. The role requires 5+ years of software development experience, fluency in Java, Kotlin, Python, and expertise in AWS, Apache Spark, and Machine Learning projects lifecycle.
At Atlassian, the Senior Machine Learning Engineer position offers a competitive base pay range of $165,500 - $265,800 in the United States across three geographic pay zones. The role may also include benefits, bonuses, commissions, and equity.
Seeking a Principal Machine Learning Engineer to drive the development and implementation of cutting-edge machine learning algorithms for Atlassian products and services. Responsibilities include designing system and model architectures, conducting experiments, and providing guidance to ML engineers.
Seeking a Program Manager, Training to serve as the owner of the Data/AI learning portfolio. Responsibilities include collaborating with subject matter experts, designing training materials, staying updated on data and AI technologies, and managing budgets for training programs.
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The Compliance Quality Control Analyst will review decisions made by global Compliance operations teams, focus on transaction monitoring and suspicious activity reporting, provide training, identify gaps, and recommend enhancements to procedures.
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Lead a team of data scientists to partner with marketing, sales, growth, and product teams to drive revenue growth, optimize marketing strategies, and launch high-impact initiatives. Develop quantitative models, analyze marketing campaigns, and provide data-driven insights to improve marketing performance. Build scalable data foundations and execute standards for long-term growth. Monitor and analyze experiments to optimize marketing campaigns and promote best practices.
Looking for a Data Analyst II to work in Care Delivery operations, leveraging data to guide strategy and roadmap for workflows and tooling. Responsibilities include strategic analyses, decision-making support, measuring product performance, and building data solutions. Requires strong communication, problem-solving, and analytical skills.
Senior Staff Data Analyst role in Marketing Analytics involving conducting large-scale analyses, collaborating with teams, and developing data-driven solutions. Requires 8+ years of analytic experience in financial services, strong SQL skills, experience with digital acquisition channels, and effective communication skills.
The Sales Commissions Analyst at GitLab provides support to the global commissions programs, ensuring accurate calculations and timely reporting. Responsibilities include SOX compliance, compensation tracking, data analysis, and process improvements. The role requires a detail-oriented self-starter with analytical skills and experience in sales incentive programs.
CrowdStrike is seeking an Analyst Relations Manager to develop and manage customer advocacy as it relates to AR peer reviews. The role involves partnering with various teams to ensure internal and external synergy and support customer reference requests for vendor evaluations.
Seeking a Business Analyst with expertise in data wrangling and analysis to monitor KPI metrics, conduct ad hoc analysis, and provide insights from data. Collaborate cross-functionally to track progress and deliver actionable insights. Requires 3+ years of experience in operational analysis and proficiency in SQL, Tableau, and Excel.
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Looking for a Health Informatics Specialist with expertise in HL7, FHIR, JSON, and promoting interoperability. Responsible for FHIR implementation, data integration, standards compliance, quality assurance, education and training, documentation, and reporting in healthcare data exchange standards.
Seeking a highly skilled NLP Scientist to develop innovative NLP/AI solutions for life sciences. Responsibilities include leading research, strategy, design, and implementation of NLP/AI products, collaborating with internal and external teams, developing cutting-edge NLP algorithms, mentoring junior team members, publishing findings, and engaging with the scientific community.
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