Top Data & Analytics Jobs

The Manager of Data and Analytics will deliver insights for the Revenue Management and Finance team, analyzing large datasets to identify trends, creating dashboards, and implementing data models to enhance performance and support cross-functional collaboration.

The Senior GRC Analyst will execute engagements related to NIST and CIS frameworks, assess client governance, risk, and compliance programs, develop custom methodologies, and collaborate with offensive security teams. Responsibilities include delivering technical reports and staying updated on industry trends to enhance client security postures.

As a Senior Data Analyst, you will collaborate with various stakeholders to lead analytics projects, drive evidence-based decision-making, and develop predictive models. You will mine data from multiple sources for impactful analyses, create dashboards, and communicate insights effectively.

As a Data Scientist II, you will analyze large healthcare datasets, build and optimize machine learning models, and develop algorithms for workflow optimization. You'll collaborate with engineers and product managers, communicate insights through visualizations, and contribute to innovative solutions that enhance operational intelligence in healthcare revenue cycle management.

As a Senior Data Engineer at SADA, you will develop and optimize data platforms, focusing on BI and data engineering to ensure seamless data flows and insightful reporting. Responsibilities include project leadership, mentoring, developing metrics for business reporting, and collaborating with business leads to draw insights from data.

The Treasury Operations Analyst at Backflip will manage daily cash flows, conduct cash reconciliations, ensure compliance with internal policies for wire transfers, support the accounting team with payments, and implement process improvements. This role requires attention to detail, strong organizational skills, and the ability to thrive in a fast-paced environment.

The Applied Scientist will leverage advancements in AI/ML, particularly Large Language Models and Computer Vision, to enhance legal and financial tech solutions. Key responsibilities include finetuning and deploying state-of-the-art models, building ETL pipelines, and collaborating with cross-functional teams to improve AI quality in production systems.