Top Remote Data & Analytics Jobs
This job requires managing and implementing data-driven SEO, SEM, and PPC programs, including campaign management and optimization, analytics management, and collaboration with web developers and marketing teams. The role also involves writing and communicating effectively, analyzing data, and making recommendations for marketing strategies.
As a Principal Data Scientist II (AI), you will shape AI strategies and develop innovative AI solutions. Responsibilities include defining AI architecture, collaborating with data scientists, integrating AI capabilities across the platform, providing technical leadership, and driving product innovation.
As a Senior Data Scientist at Rocket Money, you'll build machine learning-driven features in collaboration with engineering, product, and design teams. You'll also optimize product feedback loops, develop automation for budgeting tools, construct customer segmentation models, run experiments to gauge impact, and ensure accuracy in transaction categorization systems. You'll lead projects, drive strategy, and focus on enhancing customers' financial experiences.
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The Senior Process Analyst will design and deliver transformation and continuous improvement roadmaps, focusing on optimizing global processes in finance planning and analysis. Responsibilities include facilitating workshops, performing gap analyses, documenting processes using BPMN, and driving adoption of transformations through effective stakeholder engagement.
As an Analytics Engineer at Beam, you will collaborate with various teams to enhance data usability and reliability, develop and maintain the data warehouse, and implement software engineering best practices in analytics processes.
The Data Analyst will work remotely to interpret and develop data project requirements, utilizing tools like Python, Excel, and SQL for data cleansing, analysis, and interpreting complex data issues. The role requires effective communication with both technical and non-technical clients and self-management in a fast-paced environment.
The Senior Analytics Engineer will lead the establishment of data infrastructure, design data warehouses, and build data models and ETL pipelines to enhance product analytics and user engagement. This role balances strategic design and hands-on implementation while collaborating with leadership to address business requirements and promote data literacy.
The Data Scientist will analyze large datasets to identify patterns, create predictive models, automate data collection processes, and provide actionable business insights. Responsibilities include developing algorithms, collaborating with engineering teams, and utilizing data visualization to enhance decision-making.
As the Head of Analyst Relations at Atlan, you will enhance partnerships with industry analysts, sharing customer success stories and fostering dialogue around data management innovations. You'll collaborate cross-functionally to ensure effective communication of Atlan's value and lead strategic engagement initiatives that contribute to the evolution of the data landscape.
Develop predictive models and machine learning algorithms to optimize financial processes. Conduct exploratory data analysis to identify patterns, collaborate with teams to design analytical solutions, and build the Data Analytics function as the company expands.
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