Top Data & Analytics Jobs
As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.
The Analyst Relations Senior Manager at Samsara will build and manage strong relationships with analysts and influencers in the Industrial IoT and SaaS sectors. Responsibilities include developing engagement programs to enhance the Connected Operations platform and facilitating long-term partnerships with key analyst firms, ensuring continuous education and positive report placements.
The role involves collaborating with both technical and non-technical teams to define and implement system requirements, ensuring software changes meet business needs, and supporting root cause analysis for defect resolution. Responsibilities include project documentation, platform configuration, and training design.
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The Senior Business Intelligence Analyst role at Klaviyo involves analyzing data to drive business decisions, building models, and presenting findings to key stakeholders. Responsibilities include maintaining data environments, performing hypothesis testing, creating analysis frameworks, and contributing to predictive models. The ideal candidate should possess a quantitative background and strong analytical skills.
As a Revenue Operations Analyst, you will optimize Go-To-Market processes, enhance data accuracy, and provide actionable insights for strategic decision-making. You'll collaborate with sales, marketing, and customer teams to improve revenue efforts, develop dashboards for KPIs, and support the implementation of scalable tools and technologies.
The Senior Business Intelligence Analyst will build data models, create dashboards using data visualization tools, and collaborate with cross-functional teams to design data solutions for financial reporting and operational needs. Responsibilities include maintaining data pipelines, optimizing data quality, and promoting self-service data culture within the organization.
The Senior Database Engineer will design, implement, and optimize cloud-based Oracle databases to support enterprise risk management software. Responsibilities include overseeing database architecture, performance monitoring, and administration, as well as mentoring junior team members and ensuring operational seamlessness.
The Clinical Data Manager is responsible for overseeing and managing clinical data processes from start-up to closeout, ensuring adherence to industry standards. Responsibilities include developing study documentation, collaborating with clinical teams, performing quality control, and analyzing data trends for proactive issue identification and efficiency improvements.
The Sr. Advisors are responsible for designing and developing models and algorithms for marketing measurement, using big data analytical tools to process data, and implementing machine learning techniques for identity resolution. They will also adapt software tools for R&D environments and extract actionable information from various data sources.
The Sr. Database Engineer is responsible for the administration, design, development, and automation of databases, working closely with stakeholders to enhance database processes. This role requires expertise in SQL Server, PostgreSQL, and MongoDB, along with a good understanding of cloud concepts and DevOps practices. The engineer will collaborate with teams on high-profile projects and ensure database stability, performance, and compliance.
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