Top Data & Analytics Jobs
The Database Administrator will manage, secure, and optimize Azure SQL databases to support the Tax and HR platforms. They will work closely with development teams to ensure smooth database operations, troubleshoot customer issues, and enhance database performance and security. The role requires continuous learning and a proactive approach to address challenges in a dynamic remote work environment at ComplyRight.
The Staff Data Scientist will lead the design, development, and deployment of AI models, conducting research on data patterns, implementing machine learning algorithms, and collaborating with teams for integration and optimization of AI solutions.
As a Data Scientist at BrightAI, you will extract insights from complex datasets using statistical analysis and machine learning. Responsibilities include developing predictive models, visualizing data, collaborating with teams for deployment, and adhering to data governance standards while staying updated with data science advancements.
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The Cassandra DBA will design, build, and maintain NoSQL distributed database systems with a focus on Datastax Cassandra, while also managing legacy databases like PostgreSQL and MySQL. The role requires automation skills using Terraform and Ansible, and experience with cloud platforms like Google Cloud or AWS. Responsibilities include implementing large-scale database infrastructures, monitoring performance, and ensuring 24x7 operations with no downtime.
The Data Specialist, Digital Products & Experiences is responsible for tracking, analyzing, and supporting IMAX's customer data and operating marketing technology data platforms. The individual will focus on opportunities to improve and grow conversion, customer data, targeted and personalized marketing.
The Senior Product Business Analyst will execute on medium projects as a liaison among business operations, technology groups, clients, and vendors to understand, analyze, and facilitate business needs and impacts of changes. Responsibilities include defining business needs, stakeholder analysis, solution scope, planning business analysis approach, conducting elicitation sessions, managing requirements traceability, and adhering to business analysis standards. The minimum qualifications include a Bachelor's degree, 5 years of related work experience, and eligibility to work in the United States without a visa. Additional qualifications include advanced understanding of business analysis concepts, communication skills, problem-solving abilities, and experience in leading project teams. Preferred qualifications include knowledge of BABOK, client relationship management, Business Analysis certification, experience in large complex projects, knowledge of pharmacy drug discount cards, and proficiency in office productivity software.
Position manages end-to-end delivery of data management services for assigned projects/studies, collaborating with CROs and other vendors to ensure high quality deliverables are on time and within budget to support drug development processes and global submissions. This position also partners with internal and external stakeholders to optimize Data Management technology, processes, and standards.
Lead Data Quality Analyst role focusing on ensuring data integrity and quality for informed business decisions. Responsibilities include analyzing data quality issues, leading data cleansing projects, creating controls, and collaborating with stakeholders.
As a Senior Analyst and Developer at Panera, you will lead technical discussions, analyze requirements, manage scope, and collaborate with cross-team architects to implement solutions. Responsibilities include integrating new technologies, optimizing user experience, deploying high-quality software, and mentoring junior developers. Qualifications include 7+ years of mobile app development experience and expertise in native (Android/iOS) and cross-platform (React Native) frameworks.
The Data Scientist at Excella is responsible for using advanced statistical, algorithmic, machine learning, data mining, and visualization techniques to help advance and complete client projects. They must also effectively communicate complex quantitative analyses to management and executive level audiences.
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