Top Senior Level Data & Analytics Jobs
As a Staff Data Engineer at Twilio, you will design, build, and maintain data pipelines, optimize data warehouse structures, and collaborate with cross-functional teams to leverage data for business strategies. You will also develop machine learning infrastructure and ensure efficient data processing and analysis.
As the Lead Data Scientist, you will establish a data science practice, collaborate with various teams to optimize systems, leverage data for strategic decisions, and utilize advanced analytics techniques to derive insights that drive business outcomes.
The Director of Data & Analytics will lead client projects by creating and implementing data strategies and automation processes, utilizing tools such as Python and Alteryx. Responsibilities include managing project workflows, communicating objectives to stakeholders, and delivering data-driven insights through dashboards and predictive analytics. Strong financial and analytical skills are essential for transforming client needs into actionable solutions.
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The Senior Data Engineer will design and build data architecture and scalable data pipelines, enabling advanced analytics and machine learning within the healthcare industry. Responsibilities include creating automated data flows, collaborating with infrastructure and data science teams, and shaping the data roadmap while ensuring high data quality and performance.
The Staff Data Engineer will design and maintain scalable data pipelines, develop full-stack applications, integrate data sources, architect data platforms, implement automation tools, and collaborate with teams to enhance AI-driven products.
As a Senior Data Process Consultant/Data Architect, you will engage with clients in Media and Entertainment to define and improve data processes, ensuring data quality and consistency while driving customer insights. You'll lead workshops, analyze current processes, and provide automation improvement recommendations.
The Associate Data Engineer will work on modifying systems to support analytics, install and configure Master Data Management solutions, develop data profiles, perform quality assessments, and implement data cleansing processes. The candidate will collaborate with the team to define requirements and troubleshoot software issues.
The Data Visualization Specialist is responsible for developing analytical solutions for Breakthrough Diagnostics products, performing data analysis using advanced statistical methods, managing product performance dashboards, and presenting insights to clients. They will also collaborate on methodologies for automated insights and ensure data integrity.
The Data Scientist will design and implement advanced machine learning models for real-time anomaly detection, automate data discovery from a global honeypot network, and enhance product features through AI/ML techniques. Collaboration with cross-functional teams and direct customer engagement will be essential.
The Lead VOIP Networking Analyst will manage the Help Desk team providing Tier 1 and Tier 2 IT support, overseeing service request responses, troubleshooting various technologies, and ensuring adherence to security standards. They will also guide team members, collaborate with IT teams, and monitor service desk performance for improvement.
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