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Top Data & Analytics Jobs in Philadelphia, PA
The Decision Analytics Associate Consultant will synthesize and communicate project results, develop client relationships, oversee project status updates, create deliverables, and mentor junior associates while leveraging big data to solve healthcare access problems for pharma clients.
The Data Architect is responsible for designing and implementing data architecture strategies, developing data pipelines, and ensuring compliance with data governance policies. They collaborate with stakeholders to deliver effective data solutions and lead cloud-based implementations.
The Senior Manager of Data Architecture at PwC will design and implement data infrastructure and systems, develop data pipelines, and ensure compliant data architecture while mentoring teams. They will lead data strategy engagements and oversee cloud-based solutions using advanced technologies.
In this role, the Senior Manager will lead data engineering initiatives to develop and implement data pipelines and solutions for clients, transforming raw data into insights. Responsibilities include coaching teams, managing client relationships, ensuring quality delivery, and leveraging cloud technologies. The role requires strategic thinking and the ability to navigate complex challenges within project delivery.
As a Data Analytics Senior Consultant at CNA, you will lead projects to create automated scorecards and scenario analysis tools, provide business insights based on data analysis, collaborate with underwriting leadership, and develop analytics solutions that enhance business strategies across commercial insurance products.
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The Payment Settlement Analyst is responsible for reconciling payments and bank accounts, monitoring ACH returns, processing refunds, and ensuring accurate electronic payment settlements. This role includes creating cases in Salesforce for efficient returns resolution and generating compliance reports, while continuously learning about new payment processing rules and products.
As a Senior Associate, you will oversee clinical data management for trials, ensuring the accuracy and integrity of data. Responsibilities include data preparation, creating data management plans, setting up data reviews, and collaborating with stakeholders to improve processes and learning from studies.
The Sr. Data Analyst will analyze data sets, conduct research projects, and validate customer tests. Responsibilities include creating SQL queries, troubleshooting data issues, and communicating findings effectively. This includes engaging with internal technical teams and external business groups to ensure expectations are met, and maintaining reports for management and operational teams.
As a Data Scientist at CoreWeave, you will help evolve the company’s product databases, forecast demand trends, and develop solutions for analytic problems. You’ll contribute to metrics and reporting, ensure data integrity, and support capacity planning models for decision-making.
As a Distinguished Machine Learning Engineer, you will lead the design and implementation of machine learning applications and systems, mentor other engineers, and drive ML initiatives in the financial services sector. You will collaborate with interdisciplinary teams to solve complex business challenges, optimize data pipelines, and ensure the performance of ML models at scale.
The Sr. Data Engineer II will design and maintain data pipelines, support data analysis and preparation, and optimize workflows for data capture and processing. The role involves collaboration with architects and engineers, providing technical leadership, and ensuring high-performance engineering processes.
The Cloud Data Architect will lead major projects to develop strategic technical plans, design and implement cloud architectures, mentor teams, ensure compliance, and optimize costs related to cloud solutions. The role involves collaborating with various stakeholders to maintain high availability and disaster recovery in cloud platforms.
Lead a team of data engineers to develop scalable data pipelines and optimize workflows for advanced analytics. Collaborate with data architects and ML engineers on data preparation and model deployment. Ensure high-performance engineering processes and provide mentorship to team members.
As a Full Stack Data Scientist, you'll develop data pipelines, conduct data analysis, create visualizations, build and deploy machine learning models, and collaborate with teams to communicate findings. You will ensure model performance and maintain data-driven solutions in a cloud environment.
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