Top Data & Analytics Jobs in Pittsburgh, PA
As a Data Engineer, you will enhance and support data-related systems, ensuring data flows reliably from platforms to clients. Responsibilities include improving data pipelines, designing features for the Data Platform, operational support, and collaborating with product and engineering teams for project execution.
The Data Analyst will oversee machine learning model development, create interactive dashboards, conduct data analysis for insights, and ensure data quality within the MEDCHART system. They will collaborate with stakeholders to meet model requirements and report findings efficiently.
The Senior Analyst, Order to Cash Operations will manage the order-to-cash process, involving tasks like order management, invoicing, collections, and contract review. This role demands collaboration across teams to optimize processes and drive improvements. The analyst will also focus on data analysis, reporting, and the implementation of automation solutions.
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The Staff Engineer will lead the design, development, testing, and maintenance of healthcare policy engines, ensuring high performance and optimal functionality. Responsibilities include collaborating with teams to explore data science opportunities, implementing predictive analytics, and driving improvements in system architecture.
The Staff Data Scientist will lead AI model design and development, conduct research to identify data trends, implement machine learning algorithms, and collaborate with cross-functional teams to integrate AI solutions into Tanium’s capabilities, ensuring optimal performance and scalability.
Conduct in-depth investigations and analysis related to financial crimes as part of Coinbase’s BSA/AML program, reviewing high-risk cases, evaluating alerting activity, and maintaining compliance with regulatory requirements.
As a Staff Analyst in Advanced Analytics at Airbnb, you will use data insights and advanced analytics techniques to define and evaluate key metrics, drive data-driven decision-making, and collaborate across functions. Your role involves working with large data sets, applying quantitative analysis, developing forecasting models, and presenting insights to leadership.
As a Senior Manager of Advanced Analytics, you will drive data strategy, collaborate across departments, perform in-depth data analysis and forecasting, and present insights to influence high-level decisions, ultimately enhancing the guest and host experience at Airbnb.
As a Staff Analytics Engineer, you will design and implement systems for data integrity, efficiency, and compliance, while collaborating with cross-functional teams. Your role includes developing data assets for product use, enhancing data quality, and automating data management tools, all while mentoring team members and ensuring adherence to data protection regulations.
As a Risk Analytics Expert, you will lead technical product demonstrations, advise clients on regulatory processes, manage client projects from concept to delivery, and provide insights to the Product team at ZestyAI. Your role is pivotal in translating complex data into intuitive insights for clients in the property and casualty insurance industry.
The Senior DBA is responsible for maintaining high availability and performance of database systems, managing cloud-based services, and enhancing database infrastructures for scalability. They monitor existing setups, collaborate on security measures and ensure efficient operational practices for a growing user base.
As a BI Analyst at Sporty, you’ll analyze large datasets, create dashboards, and deliver insights that inform business decisions and strategies. You'll manage reporting infrastructure, handle ETL processes, and provide ad hoc analysis while ensuring data stability and accuracy for stakeholders.
Lead and manage a team of data engineers to maintain and grow Valo Health's data engineering platform. Collaborate with multi-functional teams to support drug discovery efforts by driving the evolution of the data platform, ensuring scalability, and promoting best practices in data management and governance.
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