Top Data & Analytics Jobs

The Title Analyst is responsible for filing loan policy insurance claims related to title issues while ensuring compliance with regulations. Duties include analyzing title reports, working with attorneys and underwriters, maintaining documentation, and escalating potential risks. This role requires proficiency in Microsoft Office and strong communication skills.

As a Data Scientist at Blackbird Health, you will analyze healthcare data, develop comprehensive solutions, collaborate with engineers and product managers, and create data science products to enhance healthcare delivery while promoting continuous improvement and ensuring data quality.

The Denials Analyst manages the denials reporting process, tracks trends in denials, and collaborates with leadership to resolve issues. Responsibilities include developing workflows and reporting tools, optimizing revenue cycles, and presenting findings for process improvements.

The Process Quality Analyst will lead process improvement initiatives, conduct data analysis, manage projects, and implement solutions. They will create and maintain business intelligence tools, identify operational opportunities, and support training and finance initiatives within the organization.

The Data Engineer III is responsible for architecting and maintaining scalable tooling and infrastructure for data management, including building automated data pipelines and managing data storage. The role involves collaborating with Data Scientists for model improvements and ensuring data quality and availability, while also coaching teams on data-driven decision making.

The Settlement Analyst will manage confirmation, reconciliation, and settlements for ERCOT assets. Key responsibilities include validating settlement invoices, preparing power settlements, performing daily validations of RTO/ISO settlement amounts, and ensuring accurate physical trade representations with counterparties. The role requires collaboration with trading and commercial teams to communicate discrepancies and provide training as needed.

The Head of Data Science & Analytics will lead the data science team, manage strategic projects, develop innovative solutions, and collaborate with cross-functional teams to optimize processes and enhance products and services using data-driven strategies.