Top Data & Analytics Jobs
The Senior Support Analyst delivers quality solutions for customers using the Force.com platform, providing technical support and engaging with clients to resolve issues. Responsibilities include documenting and communicating support cases, mentoring junior analysts, and continuously learning new features of the platform to enhance client experience.
As a SOC Analyst, you will monitor security events, perform threat analysis, and respond to incidents. Responsibilities include developing response procedures, providing guidance to the security team, and staying updated on security threats. You will work independently with customers and troubleshoot basic issues.
As a People Operations Specialist, you'll analyze PX data to identify trends, manage PX tools, troubleshoot system issues, and collaborate on process improvements. Key responsibilities include maintaining reports, ensuring compliance, supporting projects, and training team members on systems and best practices.
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The Senior Scientist will develop quantum chemistry algorithms, collaborating with cross-functional teams to create optimized quantum workflows and address real-world problems using IonQ's quantum computers, while building reusable software platforms.
This Data Analyst role at Cloudflare involves partnering closely with internal stakeholders to understand analytical needs, improving data collection and quality, designing and supporting data solutions, and presenting key insights in a concise manner. The role requires a Bachelor's or Master's degree in Computer Science or Engineering, 5+ years of data analyst experience, and strong skills in Python, R, SQL, and data analytics tools.
As a Senior Data Scientist II, you will analyze healthcare data, create insights, and develop data products. You will collaborate with product and engineering teams to define models for healthcare challenges and contribute to AI and NLP projects while ensuring data processes are executable in production.
AdAction is seeking a Senior Data Analyst to contribute to modernization efforts, automate BI processes, enhance data analytics capabilities, and provide actionable insights to drive decision-making. This role requires proficiency in Python, Git, AWS, DBT, Airflow, and data visualization tools such as Tableau, Looker, and QuickSight.
As a Big Data DevOps Lead, you will improve efficiency in Big Data infrastructure, coordinate initiatives across teams, lead architecture design efforts, ensure system reliability, and support operational tools while also providing on-call support.
The Data Scientist will analyze and interpret complex supply chain data, develop predictive models, and collaborate with teams to optimize supply chains and drive business growth. Responsibilities include processing large datasets, applying statistical models and machine learning algorithms, and communicating data insights to stakeholders.
The Quality Assurance Analyst will evaluate sales calls, optimize client experiences, resolve system issues, compile resources for product rollouts, collaborate with various teams, and create dashboards for executive reporting.
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