Top Remote Data & Analytics Jobs
The Data Engineer will design and implement data pipelines and analytics infrastructure, develop Python and SQL components, maintain cloud infrastructure, and create data models. They will collaborate with customers to enhance data exploration and improve technical practices while coordinating project objectives.
The Sr. Analyst Relations Manager will develop and enhance the analyst relations program at Databricks, building and nurturing relationships with key industry analysts. Responsibilities include managing analyst requests, coordinating briefings, staying updated on industry trends, and partnering with teams to improve market visibility.
The Senior Card Associations Analyst is responsible for analyzing business requests for automated systems, formulating system objectives based on user needs, and providing subject matter expertise. The role involves configuring system settings, planning and executing business designs, and ensuring the systems meet user requirements through ongoing communication and complex problem analysis.
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As a Salesforce and Gainsight Analyst, you will enhance customer experience through effective platform use. You'll optimize customer-centric solutions, streamline data flows for marketing, and collaborate with teams to develop strategies. Your role involves CRM strategy, configuration, data management, analytics, and providing user support for improved customer engagement.
As a Data Scientist at LeaseLock, you'll develop machine learning models to predict property risk, deliver data-driven strategies, and ensure data consistency for enhanced analytics. You will work independently on impactful projects that align with business needs.
As a Data Engineer at Prophecy, you will develop data engineering workflows using Apache Spark and Apache Airflow. You will be responsible for solving complex customer problems, educating users on best practices, and building reusable Spark packages to enhance data transformation processes.
As a Senior Product Analyst, you will analyze critical KPIs for the payments team, develop data models, run A/B tests, and collaborate with cross-functional teams to enhance product experience and drive data-driven decisions.
The Data Analyst will load, analyze, and report datasets extracted from SAP systems, primarily using SQL and Python. Responsibilities include ETL processes, developing SQL scripts, ensuring data quality, and creating custom reports. The analyst will collaborate with teams to drive insights and optimize inventory management.
As a Senior Data Engineer at CrowdStreet, you will build and influence the architecture of a new data platform, handle the full lifecycle of software development, and work with various teams to translate data needs into actionable initiatives. Responsibilities include optimizing data ingestion and modeling, maintaining data pipelines, and collaborating to enhance data operations.
The Senior Data Consultant will lead projects, ensuring quality delivery and driving client success through effective communication and problem-solving. Responsibilities include developing strategies, managing project execution, and fostering long-term client relationships while leveraging data for business impact.
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