Top Data & Analytics Jobs in Buffalo, NY

Lead statistical programming for clinical trials using R and SAS to produce tables, listings, and figures per SAP. Manage and mentor programmers, ensure CDISC compliance (SDTM/ADaM), maintain documentation, perform validation/QC, and support regulatory submissions while following SOPs and regulatory guidelines.

Remote Data Entry Assistant responsible for accurately entering, updating, and maintaining data, performing quality checks, organizing electronic records, generating reports, ensuring confidentiality, and meeting productivity targets while collaborating with team members.

The Senior Business Operations & Analytics leader will support executive decision-making, define metrics, and improve operational efficiency across Filmhub, partnering closely with the CEO and other leaders to enhance performance and clarity as the company scales.

The Data Engineer will manage data ingestion in Salesforce, standardize lead data, ensure data quality, and optimize integration workflows.

As a Memory Developer, you'll record household tasks, shape the robot's memory, and help train its AI for better performance.

The Financial Analyst will apply financial analysis and AI-driven insights to support a dental practice management software platform, focusing on subscription revenue, forecasting, and operational performance.

As a Data Scientist at HOPPR, you'll develop and implement data pipelines and MLOps practices, utilizing large datasets and collaborating across teams to enhance AI applications in healthcare.

As a Research Analyst, you'll drive fundamental research for subscription-based data products, analyze large datasets, and collaborate with teams to offer insights and develop new products.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

As a Senior Analytics Engineer, you will build data models, ensure data quality, collaborate with teams, and champion analytics best practices to influence business growth.