Top Data & Analytics Jobs
Lead the data conversion and migration efforts for the Financial Services Modernization program, providing expertise in data cleansing, migration requirements, testing, and documentation. Collaborate with the government and project team to ensure successful migration to a new financial system.
Architect and build pipelines for training and evaluating models, develop and evaluate behavior/trajectory/intent prediction models, optimize prediction performance, collaborate with and mentor junior engineers, engage in cross-functional collaborations.
The Strategic Revenue Management Analyst is responsible for driving profitable growth by evaluating contribution margin improvements, leading pricing recommendations, and managing SKU mix. They will also work on projects to enhance enterprise reporting and analytics within the department.
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Seeking a Data Architect to design, implement, and maintain data architecture for advanced analytics, data integration, and business intelligence initiatives at Trella Health. Collaboration with data scientists, engineers, and stakeholders to bring designs to life.
Design, manage, and optimize data infrastructure using Azure services. Collaborate with cross-functional teams to ensure alignment with business objectives, support data-driven decision-making, and enhance data system efficiency.
Join Proof as a Senior Data Scientist in Fraud Detection. Use advanced analytics and machine learning to identify and prevent fraud risks. Collaborate with cross-functional teams to build data-driven solutions for product needs.
The Supply Chain Data Steward is responsible for designing and overseeing the collection, processing, and utilization of data within the department. They ensure high data quality, supporting efficient business processes by maintaining accuracy, reliability, accessibility, and security across all systems and operations.
As a Data Operations Engineer at Podium, you will be responsible for maintaining and optimizing data systems, particularly Elasticsearch, and supporting AI agent projects for local businesses. This role involves ensuring data flow efficiency, performance tuning, automation, and collaboration with engineering teams.
The Business Analyst role involves gathering requirements from customers, creating technical design documents, and working closely with team members to ensure high-quality software products are developed. The ideal candidate is detail-oriented and analytical.
The Data Engineer will design, develop, and maintain ETL pipelines, ensure data quality, collaborate with various teams to support Machine Learning and Analytics, and engage with customers to understand data needs. The role requires proficiency in data engineering and coding, particularly with Python and Typescript, along with hands-on experience with SQL.
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