Top Data & Analytics Jobs
The Data Analytics SME will leverage Excel and Power BI for data analysis and visualization, creating insightful reports and managing data efficiently. Responsibilities include performing advanced data analysis, designing pivot tables, developing Power BI dashboards, and providing actionable insights to support decision-making across the organization.
As a Data Scientist at Ascend Analytics, you will collaborate with the SmartBidder team to optimize software solutions and conduct data analysis for renewable energy sources. Responsibilities include prototyping machine learning models, enhancing code efficiency, integrating data sources, and communicating with both technical teams and stakeholders.
As a Data Scientist, you will leverage analytics, data mining, and machine learning to develop predictive models, improve decision systems, and drive business growth. Your responsibilities include data exploration, implementing experiments, and utilizing advanced analytics technologies to enhance customer service and business processes.
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Exciting opportunity as a Data Engineer at 0x, a remote-first and fully distributed company revolutionizing decentralized exchange. Responsible for maintaining and upgrading technology to extract and process blockchain data. Collaborate with Data Scientists, Product Managers, and Engineers to drive product decisions and company strategy.
The Data Engineer is responsible for migrating data from legacy systems, developing scalable data pipelines, managing data sources, and ensuring data quality and security. They will also perform audits, work on data warehouse architecture, and integrate new data sources for improved business decision-making.
Design and build data pipelines to support machine learning systems, develop ETL processes, maintain high-quality data pipelines, design data models, collaborate with stakeholders, and ensure data compliance with regulations.
As the Advisor of Data Science and Advanced Analytics at Ciena, you will enhance the company's analytics capabilities by transitioning from descriptive analytics to predictive and prescriptive analytics. Responsibilities include collaborating with business teams to identify data-driven solutions, preparing data for analysis, developing statistical and machine learning models, deploying data models into production, and ensuring data quality and security.
The IT Manager - Business Analysis will act as a liaison between non-technical groups and the IT department, managing projects, documenting business requirements, providing analytical insights, coordinating development efforts, and ensuring high-quality software deployment. Responsibilities include stakeholder communication, team collaboration, and training users on applications.
The Data Analytics Architect leads the design and administration of a federal customer’s data analytics suite. Responsibilities include working primarily with Splunk and Cribl in cloud environments, optimizing data storage configurations, and collaborating with teams on security content requirements for SOC operations.
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The Data Mentor role involves providing technical support, assessment, and guidance to apprentices, ensuring high standards in teaching and learning. Responsibilities include supporting project portfolios, preparing learners for assessments, and maintaining communication with the Learner Success Team.
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