Top Remote Data & Analytics Jobs in Pittsburgh, PA
As a Big Data Engineer, you will collaborate with cross-functional teams to design and implement scalable data pipelines, ensure data quality, and provide technical support for data migration projects. You will utilize Azure tools and technologies to deliver high-quality data solutions across various business areas.
The Senior Staff Engineer - Data Scientist will support product development and perform data analysis on large-scale datasets. Responsibilities include developing optimization and statistical models, collaborating with stakeholders, and communicating insights to drive business improvements.
As a Big Data Engineer, you will lead data migration efforts and design scalable data pipelines using Azure services. Collaborating with cross-functional teams, you'll ensure data quality and resolve technical challenges during transitions. You'll leverage your extensive IT experience, particularly in Azure Databricks, to develop robust data solutions that meet business needs.
The Senior Workday Analyst will optimize HR technology solutions, specifically in Workday, by acting as a subject matter expert. Responsibilities include configurations, reports development, data integration, and supporting HR technology projects, while ensuring operational excellence and enhancing the employee experience.
The Senior Procurement Analyst will be responsible for handling the procurement process, managing vendor relationships, leading negotiations, and ensuring timely and cost-effective delivery of goods and services. Responsibilities include developing sourcing strategies, managing contracts, generating purchase orders, tracking orders and payments, coordinating with legal and finance teams, and providing procurement data analysis.
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As a Staff Data Scientist, you will analyze data discrepancies, support investigation of data anomalies, size opportunities for metric improvements, implement data quality controls, and lead strategic initiatives to enhance data integrity. You will collaborate with engineers and communicate best practices to ensure data reliability across teams.
As a Senior Data Scientist at Pinterest, you will leverage your expertise in quantitative modeling and experimentation to tackle complex engineering challenges, collaborating cross-functionally to provide insights that enhance product development for millions of users.
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As a Technology Risk Analyst at Coinbase, you will document and maintain the technology roadmap, evaluate technology risks, establish remediation plans, and monitor KPIs. You'll collaborate with engineering teams to enhance business processes and report findings to leadership. Your responsibilities also include supporting regulatory reviews and assisting with internal/external audits.
The Mid-Tier Database Administrator will manage SQL Server databases in a Windows environment, focusing on administration, performance tuning, security compliance, backup and recovery, and automation. They will collaborate with developers on database design and implement scripts for efficient operations.
The Senior Analyst II will quantify and communicate Included Health’s value to clients, focusing on data analysis and generating insights. Responsibilities include developing scalable reporting packages, automating reports and dashboards, and collaborating with cross-functional teams to optimize business strategy and client retention. This role utilizes SQL, Python, and various tools for data visualization and communication.
As a Fraud Analyst, you will develop policies and processes to mitigate fraud losses for Mudflap’s products. Responsibilities include enhancing fraud strategies, developing detection models, evaluating tools, assessing KPIs, and maintaining performance reports.
The User Experience Analyst at Lone Rock Point will research user needs and measure alignment with usability standards while contributing creative ideas to enhance customer experience. Responsibilities include conducting user research, designing wireframes, engaging with clients, and implementing user-centered design methodologies.
The Database Engineer will design, implement, and manage scalable database systems, develop ETL pipelines for data flow, utilize cloud services for database management, optimize query performance, and ensure data security and compliance.
Top remote Companies in Pittsburgh, PA Hiring Data + Analytics Roles
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