Top Remote Data & Analytics Jobs
The Senior Analyst on Strive’s Performance Team will collaborate with various teams to track performance against organizational priorities. Responsibilities include conducting analyses, delivering customer-facing reports, and preparing presentations for executives. A focus on monitoring performance metrics and identifying improvement opportunities is essential.
The Investment Banking Analyst will support the investment banking team by executing M&A transactions, preparing financial documents, creating financial models, conducting company and industry research, and assisting with deal origination and evaluation.
The Machine Learning Engineer at Liftoff will develop and train algorithms for real-time bidding, analyze inventory performance, and oversee experiments for optimization strategies. The role involves enhancing existing ML infrastructure, collaborating with engineering teams on data pipelines, and fostering a culture of engineering excellence.
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As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.
The Customer Success Analytics Analyst will analyze customer data, build reports and dashboards, develop customer health scores, perform segmentation analyses, and evaluate the effectiveness of customer success programs while collaborating with cross-functional teams.
As a Staff Machine Learning Engineer at Canva, you'll develop AI/ML strategies to enhance customer support, lead the creation of natural language understanding systems, and collaborate with teams to leverage ML capabilities while mentoring other engineers.
As a Sports Statistician, you'll attend sporting events, reporting live action through data collection software while ensuring accurate game statistics. Training will be provided for effective technology use. The role requires reliability, organization, and availability during weekends and evenings, along with a good understanding of sports rules.
The Senior People Technology Analyst will be responsible for the implementation and maintenance of Workday and other People Systems. They will manage system configurations, provide end-user support, analyze data, and conduct training sessions while continuously seeking opportunities for process improvement.
The Senior Data Engineer at Spokeo will develop and optimize data technologies, build automation pipelines, collaborate with stakeholders to create data products, monitor performance, and follow data governance best practices.
The Data Engineer will design, implement, and maintain the data infrastructure for analytics and business intelligence at Endpoint. Responsibilities include developing ETL pipelines, managing data warehouses, ensuring data quality, and collaborating with cross-functional teams to optimize data workflows and support data-driven decision-making.
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