Top Remote Data & Analytics Jobs
As an Analyst in Technical Solutions at Visa, you will support clients using Visa Digital products, provide post-launch assistance, handle support requests, and enhance the client experience. You will be the liaison for clients, advocate for their needs, and coordinate internal resources to achieve client objectives. Maintaining a strong understanding of Visa products and delivering high-value customer service will be crucial to your role.
The Revenue Operations Analyst will manage and optimize the Marketing Ops, Sales Ops, and Customer Success Ops at Wonderlic. Responsibilities include overseeing the RevOps tech stack, ensuring compliance with processes, onboarding team members, streamlining operations, and setting up insightful dashboards.
The Process Quality Analyst is responsible for leading process and quality initiatives, including conducting internal audits, monitoring call activities, and analyzing processes to ensure client expectations are met. This role involves developing standard operating procedures, resolving process issues, and training on compliance topics, focusing on improving operational excellence across the organization.
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The Data Engineer will be responsible for analyzing and converting customer data onto the enterprise software platform, focusing on ETL solutions and establishing best practices for data conversion. Tasks include collaborating with analysts, leading customer sessions, executing data profiling, and managing multiple projects while ensuring data quality.
As a Data Analyst III at Calendly, you will leverage data visualization and analytics to support cross-functional reporting and ad hoc analyses. Your role includes building dashboards in Tableau and Hex, performing complex analyses using SQL, Python, or R, and defining business metrics in dbt. You will also communicate insights effectively to promote data-driven decision-making across the company.
Lead the Data Science team, developing AI models and statistical systems while collaborating with cross-functional teams. Drive research and data strategies that enhance product effectiveness and farmer profitability.
The Senior Data Engineer will build datasets and ensure quality data accessibility for product teams and data scientists. Responsibilities include designing data structures for the data warehouse, creating ETL processes, and collaborating with various teams to meet data needs and support business analytics efforts.
The Integration Analyst at IT-Strat will implement computer systems using a phased approach, including requirements analysis and design reviews. Responsibilities include system installation, integration, testing, and configuration management, as well as lifecycle support and troubleshooting software issues. Excellent communication skills are required for presenting system designs for approval.
As a Senior Software Engineer/Data Scientist in the Autonomy Integration Team, you will analyze autonomous vehicle performance using statistical and machine learning methods, develop insights from large datasets, mentor team members, and establish best practices for data utilization while collaborating with various teams.
The Sr. Data Scientist will develop, implement, and optimize machine learning and generative AI models, focusing on healthcare applications. Responsibilities include model value analysis, data strategy development, data preparation, and production deployment of AI solutions, while mentoring junior data scientists.
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