Top Analysis Reporting Jobs in Buffalo, NY

Lead collection, integration, analysis, and transformation of encounter data to improve submission accuracy, compliance, and operational performance. Build scalable analytics and automation using Python, SQL, Databricks, and Power BI; perform root-cause analysis, translate business needs, optimize workflows, and mentor team members.

Analyze business questions using SQL and Excel, build dashboards and reports, synthesize findings into clear presentations, and deliver actionable insights to senior stakeholders to drive strategy.

Develop and lead healthcare analytics and BI solutions for HIS products: design, code, and deliver enterprise-scale applications and dashboards, work with AWS data services and BI tools, support product development and troubleshoot reporting issues for global customers.

Lead design, coding, and delivery of HIS analytics and reporting solutions. Build enterprise-scale applications and dashboards, collaborate in agile teams, support global customers, troubleshoot data/reporting issues, and integrate AWS data services with BI tools to transform raw data into actionable insights.

Design, develop, and implement ETL/BI and metadata/cataloging solutions. Lead data governance and data quality programs, build metadata catalogs, profile and remediate data issues, collaborate with stakeholders to define business rules and metrics, and support data stewardship and governance activities.

Serve as the technical owner for customer-facing data workflows and integrations: build pipelines, write SQL and Python scripts, deploy AI-powered workflows, manage APIs and Snowflake ingestion, and translate repeatable solutions into product requirements while supporting customer success and internal engineering.

Write and optimize complex SQL to analyze automotive marketing and inventory data; audit and standardize large datasets; investigate CRM/data discrepancies; build and maintain client-facing BI dashboards and reports; perform QA on datasets and reports; collaborate with US reporting team and fulfill ad-hoc data requests.

Lead architecture, operation, and continuous improvement of cloud-native, enterprise-scale data platforms (Snowflake, cloud storage, streaming). Translate requirements into roadmaps, design and optimize data warehouses and lakes, automate operations with Python and IaC, mentor engineers, and deliver managed services across multiple client accounts while driving reliability, security, and performance.

Lead design, implementation, and optimization of cloud-native data platforms (Snowflake, AWS, Azure) for managed-services clients. Translate business requirements into secure, scalable architectures, drive migrations and performance tuning, and provide hands-on technical leadership. Collaborate with cross-functional teams, mentor junior engineers, and contribute to best-practice frameworks, automation, and pre-sales efforts.

Lead operation, reliability, and continuous improvement of cloud data platforms (streaming, lakes, warehouses). Provide architecture and hands-on operational support, collaborate cross-functionally, drive automation, mentor engineers, and act as trusted advisor for enterprise clients.

Lead complex analyses of large healthcare datasets to evaluate growth opportunities, measure test-and-learn results, build dashboards and automated reports, enable self-service analytics, and present actionable insights and recommendations to stakeholders to drive pharmacy prescriptions and immunizations growth.

Design, build, and maintain enterprise data warehouses and lakes; implement ETL pipelines; optimize data models and performance; produce analytics and predictive models; create dashboards and visualizations; monitor data quality; document and collaborate with stakeholders to drive data-driven business solutions.

Perform ad hoc and ongoing data analysis to drive product decisions for CMS: implement and audit web analytics tagging, integrate Qualtrics and other qualitative sources, build dashboards and ETL pipelines, monitor system performance via Datadog, analyze user behavior (including LLM product metrics), and synthesize mixed-methods insights to inform the team.