Top Senior Data & Analytics Jobs in Buffalo, NY

Seeking a data scientist with strong skills in PySpark and Python to manage the end-to-end data science workflow, focusing on loyalty programs. Responsibilities include data transformation, predictive modeling, and client interaction to derive actionable insights.

The Solution Architect - Data will lead discovery sessions, translate business needs into data requirements, analyze datasets to validate hypotheses, and produce documentation to guide engineering teams, especially in a retail context.

The Senior Database Administrator will manage database operations, design ETL solutions, oversee data pipelines, and coach junior team members, ensuring a reliable data environment.

The Sr. Data Architect will define enterprise data architecture strategy, deliver data products, ensure data governance, and drive analytics capabilities.

The Senior Data Analyst will analyze large datasets, manage data requests, support data governance, and collaborate with teams to ensure data integrity and quality.

Manage leased partner network data integration into I-Network, ensure data quality and delivery for client claims systems and regulatory filing, support SFTP access, create requirements and QA sign-off for projects, produce analytical insights, mentor team members, and assist Business Development/National Accounts and project management.

Lead architecture and hands-on engineering to design, scale, and govern a cloud-native lakehouse using Databricks and Microsoft Fabric. Build batch/streaming pipelines, ensure HIPAA-compliant PHI handling, produce analytics-ready datasets, mentor engineers, and drive platform strategy, governance, and reliability.

The Senior RCM Business Analyst will analyze data to extract insights, monitor client metrics, and facilitate communication between business and technical teams.

Lead centralization of performance data, define KPI standards, build scalable data infrastructure and executive dashboards (Looker), deliver cross-functional performance insights, forecasting, and predictive models to drive margin, LTV, and capital allocation decisions.

Ensure timely, high-quality data conversions from legacy systems to new platforms. Work with Implementation Specialists and Project Managers to execute conversion tasks, validate data integrity, troubleshoot issues, support deployments, and assist scheduling and customer communications.