Top Data & Analytics Jobs
The Scheduling Analyst manages schedules for Customer Advocates, ensuring efficient coverage across multiple intake channels. Responsibilities include schedule creation, time-off management, reporting, and maintaining communication with staff. They collaborate with management for forecasting and participate in global meetings for operational consistency, while adhering to company policies and labor laws.
As a Senior Principal Data Scientist, you will leverage quantitative analysis and data science techniques to drive insights into product engagement at Atlassian. Collaborating with cross-functional teams, you will develop strategies, define opportunities, measure product success, and communicate findings to influence business decisions.
The Senior Data Scientist at Loom will collaborate with cross-functional teams to leverage data insights, enhance product strategy, and measure success. Responsibilities include analyzing complex datasets, creating dashboards, and developing predictive models to improve engagement and retention on the platform.
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The Principal Analyst will support the Solution Overlay Sales team by providing reporting and analytics on sales metrics. Responsibilities include analyzing and enhancing sales performance, collaborating on BI dashboard requirements, and participating in fiscal planning and project execution for improved team performance.
The Lead Principal Machine Learning Software Engineer will develop and deploy advanced machine learning algorithms, mentor junior engineers, and collaborate with various teams to integrate AI functionalities across Atlassian products. Responsibilities include designing architectures, conducting experiments, and ensuring effective use of AI. The position emphasizes practical outputs and agile development.
The Data Engineering Manager will lead a team responsible for defining metrics, architecting data, and ensuring data quality while driving data projects and strategic insights to improve product experiences and operational efficiencies.
As a Senior Principal Data Scientist at Atlassian, you will lead strategic initiatives, influence product strategy, manage complex data science programs, and enhance data assets. You'll work cross-functionally to identify business challenges, develop frameworks for measuring customer engagement, and share knowledge to drive data science practices across the organization.
The Senior Machine Learning Engineer will develop and scale machine learning models that enhance agent productivity by automating ticket resolution processes. Responsibilities include writing high-performance code, communicating data science concepts, and driving innovative solutions in a collaborative environment.
As a Senior Machine Learning Engineer at Atlassian, you will develop and implement advanced machine learning algorithms, train models, and collaborate with cross-functional teams. Your role includes designing architectures, conducting experimentation, and mentoring junior engineers, ensuring the successful integration of AI across all products and services.
As a Principle Data Engineer at Atlassian, you will drive data engineering practices, develop backend systems and data models, and build scalable data pipelines to support business insights and a data-driven culture.
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