Top Remote Data & Analytics Jobs
Reorg is seeking a Senior Covenants Analyst to provide actionable insights on high yield documentation and debt structures in the primary and secondary markets. The analyst will collaborate with a team of experienced lawyers to deliver trusted real-time legal insights in the debt markets. They will also expand and maintain Reorg's industry-leading bond databases, proactively generate new content for clients, and represent Reorg at industry events and conferences.
Seeking a Senior Support Engineer with 5+ years of PostgreSQL experience for a remote position. Responsibilities include troubleshooting, mentoring, and collaborating with clients and development teams. Requires strong problem-solving skills, communication skills, and a Bachelor's degree in Computer Science.
Own and drive data integration solutions, foster a culture of sharing and operational efficiency, collaborate with stakeholders to design data models, clean and optimize data for ingestion and consumption, partner with Engineering Managers on technology roadmaps, exhibit personal and team accountability.
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Seeking a skilled Data Engineer with experience in AWS Glue, Spark, Python, and Snowflake to design, develop, and optimize ETL processes, ensure data quality and governance, collaborate with teams, and implement best practices. Bachelor's degree in Computer Science or related field required. Company offers competitive benefits and values client-centric solutions, ownership, excellence, and teamwork.
Seeking a Senior Machine Learning Engineer to develop NLP algorithms, train models, preprocess data, resolve entities, collaborate with teams, innovate, review code, and mentor. Requires 5 years of ML experience, proficiency in Python and ML libraries, and a Bachelor's degree in computer science.
Data Operations Manager role at Canoe Intelligence focusing on driving subject matter expertise, executing new products, managing delivery of accurate data, defining product roadmap, and continuous improvement in data operations.
The Senior Data Analyst at Drata will partner with revenue leaders and stakeholders to create impactful analytical insights, communicate findings clearly, collaborate on customer retention and revenue expansion, and maintain trustworthy data products. The role requires proficiency in SQL, data analysis tools, statistical modeling, and a curious investigative mindset.
Manager, Revenue Intelligence & Analytics responsible for transforming complex data into clear business insights, developing reports and dashboards, analyzing sales and marketing funnel, implementing business metrics, communicating data insights, collaborating cross-functionally, maintaining data strategy, and managing technical aspects of key marketing systems.
As a Senior Data Engineer at Calm, you will work with a variety of data sources to help stakeholders create products and answer business questions. Responsibilities include working with business stakeholders, standardizing data approaches, evangelizing data-driven decision making, ensuring data quality, collaborating with data analysts, and mentoring data engineers. Past projects include setting up reporting systems, creating feature stores, remodeling data pipelines, and setting up scalable APIs.
The Customer Success Business Consultant (CSBC) teaches customers how to analyze quantitative data using the Quantum Metric platform to improve digital experiences. They develop consultative relationships with clients, drive improvement in business results, and provide guidance on leveraging Quantum Metric for business problems and digital strategy execution.
Work as a Senior Machine Learning Engineer at Movable Ink, focusing on advancing the core machine learning solution and infrastructure. Responsible for building scalable models, deploying them to production, and collaborating with cross-functional teams to improve ML platform.
As a Senior Data Engineer, you will play an instrumental role in advancing our core machine learning solution. Your technical expertise and leadership skills will be leveraged to drive the development and deployment of high-quality, scalable data pipelines and products.
Work as a machine learning engineer in the Applied AI and Machine Learning team. Contribute to core recommender systems and machine learning models. Opportunity to work on a large-scale machine-learning system and continuously learn and improve the solution.
Seeking a Senior Analytics Engineer to drive data-driven insights across departments, transform complex data sources, and collaborate with analysts and engineers. Responsibilities include analyzing data sets, maintaining data models, and assisting in team planning. Desired skills include ETL experience, deep understanding of SQL, data modeling techniques, and strong communication skills.
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