Top Data & Analytics Jobs in Buffalo, NY

Own the Finance & Operations data layer: ingest and model data from systems (NetSuite, Ramp, Pigment) into Snowflake/Omni, ensure data quality and metric governance, build dashboards and reports, collaborate with Finance/Ops stakeholders, and automate reconciliation and reporting workflows.

Design, develop, maintain, and optimize ADABAS database structures and data solutions. Support mainframe data processing (Natural, COBOL, JCL), perform migrations to modern platforms, tune performance, ensure data integrity/security, troubleshoot issues, and collaborate with developers, architects, and analysts on modernization, API/cloud integration, and data warehousing initiatives.

Design, build, and maintain end-to-end batch and streaming data pipelines on GCP. Migrate legacy warehouses to BigQuery/Bigtable/ClickHouse, orchestrate workflows in Airflow, ensure data quality and observability, and partner with ML engineers on feature pipelines, drift monitoring, and retraining.

Freelance analyst who examines complex spreadsheets, benchmarks, and research to identify trends, anomalies, and actionable insights; collaborates with writers, engineers, and strategists to translate data into persuasive marketing recommendations and deliver timely project outputs while working with minimal supervision.

Lead SAP data migration efforts: develop migration strategy and execution plans, manage data mapping, extraction, transformation, and loads using ETL tools (SAP Data Services). Run mock data loads and dashboards, conduct data mapping workshops, develop conversion documents and data catalogs, partner with business and technical teams, and report progress to leadership.

Support consulting projects with business and data analysis, prepare materials and reports, assist client communications and proprietary tools, research industry trends, and help with RFPs while learning multiple workstreams under project guidance.

Lead Imagine's global MEAL strategy, build high-performing country MEAL teams, ensure data governance and quality, develop dashboards and analyses, guide experimental design and reporting, translate insights for stakeholders, and strengthen organizational data literacy to improve program learning outcomes and operational effectiveness.

Build and maintain Power BI reporting products, integrate and validate institutional data, conduct applied quantitative and qualitative research, deliver analyses and visualizations, manage projects and reporting standards, and support cross-organization analytics and stakeholder decision-making.

The Biostatistician designs, analyzes, and interprets clinical trial data, collaborating with various teams and ensuring statistical rigor and compliance with regulatory standards.

The EHSS & Quality Senior Analyst leads data management for EHS, ESG, and Quality goals, ensuring compliance and driving continuous improvement initiatives. Responsibilities include data collection, analysis, and reporting, as well as the development of dashboards and automation processes.