Top Entry Level Data & Analytics Jobs in Pittsburgh, PA
As a member of the Data Ops team, you will process investment data from venture capital firms, analyze financial statements, assist in onboarding new customers, ensure data accuracy, and collaborate with various departments to streamline data workflows.
As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.
NewRocket is seeking passionate individuals to join their diverse team and contribute to the ServiceNow ecosystem. The role focuses on collaboration, innovation, and creating meaningful experiences for both employees and clients.
As a Python Data Engineer, you'll build and maintain data ingestion and streaming infrastructure, evolve web crawling systems, and create ETL pipelines connecting to APIs and datasets while collaborating with global engineering teams.
This position involves supporting students in data analytics boot camps through various roles such as Teaching Assistants, Tutors, Learning Assistants, and Graders. Responsibilities include facilitating lessons, providing one-on-one support, engaging with students on structured schedules, and offering detailed feedback on assignments.
As a Data Engineer at Coinbase, you will build and maintain data solutions, design robust data pipelines, ensure data quality, and develop automation tools to enhance data science processes and empower user access to accurate data.
The Data Editor will lead efforts to create and integrate data for WSJ Pro products, enhance data journalism, oversee datasets, and collaborate with bureau chiefs. They will facilitate the development of usable data for financial professionals and engage in data visualization strategies.
The Growth Analyst will support Go-to-Market functions including Marketing, Sales, Business Development, and Customer Success. Responsibilities include partnering with leadership and customers to drive growth initiatives and deliver a superior customer experience in a fast-paced environment.
As a Consultant in Data and Analytics, you will create and implement processes and tools to help clients leverage data effectively. Responsibilities include translating data into actionable insights, managing client projects, and collaborating with stakeholders to drive business transformation using analytics tools.
Research and develop color perception algorithms and computer vision for camera and AR applications, work on imaging technology for camera capture and augmented reality experiences, collaborate with cross-functional teams, and provide leadership for new project development.
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