Top Remote Data & Analytics Jobs in Buffalo, NY

Build and own the reporting and insight layer: write optimized Redshift queries, build dashboards, monitor model feedback signals, triage and prioritize investigations for data science, maintain ETL pipelines ingesting semi-structured data, and enable Customer Success with clear metrics and onboarding checks. Move into model validation and automation to scale analytic workflows.

Design and maintain enterprise information architecture, including domain models, taxonomies, ontologies, and metadata to make data AI-ready. Operationalize models via enterprise data catalog (Alation), resolve semantic conflicts, define metadata standards, and partner with analytics and AI teams to enable governed, explainable AI and downstream BI/LLM use cases.

Support maintenance of proprietary datasets, supervise daily research operations, implement workflows, communicate priorities, mentor team members, and collaborate to improve quality and efficiency metrics for residential new-home research.

Support maintenance and quality of proprietary datasets, oversee daily research operations, implement workflows, communicate manager priorities, mentor team members, and help improve efficiency and quality metrics.

Lead growth analytics by partnering with product, marketing, sales, and finance to identify opportunities, design and analyze experiments, build dashboards, and surface actionable insights to move key metrics and OKRs.

Lead and conduct qualitative and quantitative research and program evaluation for legal education initiatives; manage data collection, cleaning, and analysis; produce reports, tables, and visualizations; advise colleagues and stakeholders on research design and interpretation; support LexScholars program administration and maintain research repositories; present findings and assist with research tool development.

Lead thought leadership by turning advanced analytics, internal data, and market intelligence into data-backed narratives, reports, and sales enablement. Use Python and SQL to analyze datasets, validate hypotheses, and surface industry insights on credit lifecycle, fraud, and regulatory trends. Collaborate with Data Science, Product, Sales, and Marketing, support strategic deals with analytical proof points, and present insights externally to senior audiences.

Build and maintain scalable Python-based data pipelines and backend services for analytics and ML workflows. Design software systems, support analytics/model training and deployment platforms, implement CI/CD and IaC, manage AWS/on-prem environments, monitor and improve pipeline reliability, and evaluate new AI technologies to increase platform efficiency.

Lead statistical programming for clinical trials, managing programmers and CROs. Oversee programming activities, ensuring timely support for clinical projects and developing programming processes.

Design, build, and maintain dbt models, ELT pipelines, Looker explores and visualizations. Drive analytics strategy, data discoverability, observability, lineage, and security. Mentor engineers, collaborate cross-functionally, apply software engineering best practices, and integrate AI to scale data products and self-service BI.

The Senior Data Engineer will design and build data pipelines and infrastructure to support data science and business intelligence solutions, utilizing AWS services and streaming technologies.

The Sr State Product Analyst provides analytical support for strategic goals, analyzes performance data, and implements processes for financial planning and market development.