Top Data & Analytics Jobs
The Sr. Azure Data Engineer is responsible for leading the development of data-driven solutions while designing architecture and delivering projects. The role includes collaboration across teams, engaging clients, and implementing Advanced Analytics solutions using Microsoft Azure and Databricks. Extensive experience in data engineering and Microsoft technologies is essential.
As Data Technical Lead, you will oversee data consulting projects, guide data modeling and solutions, cultivate client relationships, mentor team members, and contribute to the growth of the data practice while ensuring project success and identifying business opportunities.
As a Senior Data Engineer, you will build and maintain data pipelines, working closely with various teams to support analytics needs. You'll participate in architectural decisions and promote best practices for data processing and modeling, influencing the company’s data systems and operations.
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The Administrative Data Coordinator ensures efficient office operations by performing data entry, maintaining records, assisting with payroll, and organizing documentation. The role involves communication with various departments, inventory management, and compliance with company policies and biosecurity regulations. Strong organizational skills and attention to detail are essential for success in this position.
The Implementation Analyst at CodaMetrix is responsible for implementing software solutions to improve medical coding and billing efficiency. This role involves managing project communications, analyzing customer data, coordinating with internal teams, developing test scenarios, and ensuring successful project execution through to support.
The Data Engineer Manager will lead a team responsible for developing and maintaining data infrastructure, manage data engineering projects, and ensure quality and security across systems. The role involves mentoring team members, collaborating with cross-functional teams, and making hands-on contributions to technical work.
The Senior Data Science Engineer will develop data solutions, collaborate with teams, oversee algorithms for data analysis, and support junior engineers. Responsibilities include managing scalable data processing platforms and making informed decisions while contributing to business goals.
The Bioinformatic Data Scientist will develop and optimize computational pipelines for drug development, manage data visualization tools, and integrate data using MongoDB. The role involves collaboration with teams to implement bioinformatics solutions, optimize workflows, and contribute to therapeutic discoveries.
The Senior Data Scientist will oversee and guide projects within machine learning and data science, play a key role in technical research assistance, and contribute to challenging projects funded by NSF. They will utilize their expertise to support the technical team and ensure the success of interventions in digital wellness.
The Sr Business Analyst Consultant will leverage expertise in retail environments to analyze and improve business processes. Responsibilities include working with Order Management Systems, ecommerce, and fulfillment systems, along with documenting requirements and developing use cases.
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