Top Remote Data & Analytics Jobs in Buffalo, NY

The Senior Data Analyst will analyze product usage data, develop dashboards, and guide product decisions by translating complex data into actionable insights to improve clinician engagement and outcomes.

The Senior Data Architect designs and implements data architecture solutions, leveraging modern platforms and methodologies to enhance data management, modeling, and integration across applications and stakeholders.

The Principal Biostatistician will lead statistical analyses for Phase 1 studies and safety analyses for Phase 2/3 trials, serve as an unblinded DMC statistician, and contribute to regulatory submissions and study design discussions.

The Senior Data Engineer will design and build data pipelines on Azure Databricks, ensuring data security and governance while collaborating with clients and vendors on projects.

Lead scaling of a commercial channel data management platform for oncology/hematology. Manage vendor and data provider relationships, design data pipelines and governance, improve data quality, oversee data aggregation and provisioning for commercial insights, and ensure compliance, security, and documentation.

As a Business Analyst in Partnerships, you will build analytics infrastructure, identify data issues, and conduct market research to guide strategic decisions.

The Data and Reporting Architect will lead the design of data architectures and reporting systems, addressing complex data challenges and ensuring compliance with regulatory standards. Responsibilities include mentoring engineers, defining data quality frameworks, and collaborating with various teams to implement scalable solutions.

Drive Data Governance requirements, analyze and validate data, collaborate with stakeholders, and maintain Data Governance artifacts using SQL and Informatica tools.

The IBM TM1 Developer will manage the SDLC for Finance applications, focusing on TM1 and migrating from Essbase, while collaborating with global teams.

As a Senior Data Analyst, you'll provide actionable insights by analyzing product and engineering data, partnering with leadership on metrics frameworks and decision support for product delivery.