Top Remote Analysis Reporting Jobs in Buffalo, NY

The Senior Bioinformatics Data Engineer will build data pipelines, implement clinical data ingestion, and optimize platform infrastructure while ensuring data quality and compliance with legal standards.

Enter, verify, and maintain large volumes of data across databases, spreadsheets, CRM/ERP systems. Perform audits, resolve discrepancies, generate routine reports, organize digital files, and collaborate remotely while following data entry protocols and safeguarding confidential information.

Lead and build Newfire's clinical data engineering practice: define architectures, reusable patterns, and governance; own analytics and transactional pipelines; provide hands-on technical leadership with Databricks/Snowflake/dbt; mentor and grow the team; partner commercially to identify opportunities; and integrate practical AI capabilities for healthcare data use cases.

Own support analytics for User Operations: build dashboards and recurring reports, track north-star metrics (cSAT, TTR, QA, escalations), instrument Zendesk, connect support to product/customer data, quantify operational costs of bugs, and measure AI-driven support performance.

Lead business intelligence efforts to analyze complex data, define KPIs, identify operational inefficiencies, and recommend process improvements. Collaborate with cross-functional teams and executives to implement data-driven strategies, manage improvement projects, monitor resource allocation, and ensure compliance with policies and regulations.

Support GTM teams by cleaning CRM data, building lightweight automations and templates, testing AI-assisted workflows, creating reports and dashboards, analyzing revenue data, and improving revenue processes across Salesforce and related systems.

Build and maintain product analytics for the core platform: define metrics, events, funnels, and tracking taxonomy; create dashboards, alerts, and analytics infrastructure; analyze user journeys and run A/B tests to validate hypotheses; translate insights into actionable recommendations to prioritize the roadmap.

Own Mixpanel and partner closely with Product to turn product-level data into decision-grade insights. Define instrumentation and event taxonomy, build dashboards and notebooks, run cohort and retention analyses, design and analyze A/B tests, and collaborate with data engineers to model product event data. Document metrics, maintain a living glossary, and translate findings into actionable product recommendations.

The Senior Azure Data Consultant will build and maintain data pipelines, develop lakehouse solutions, optimize ETL processes, and support analytics capabilities in a Microsoft Fabric environment.

Manage the end-to-end data issue lifecycle for North America: intake, triage, root cause analysis, remediation planning and execution oversight. Produce IMR reporting and dashboards, maintain audit-ready records, engage stakeholders, and improve IMR processes and tooling to strengthen data quality and controls.