Top Remote Data & Analytics Jobs in Buffalo, NY

Builds and maintains data infrastructure, pipelines, SQL databases, integrations, Power Platform applications, Power BI reports, and semantic models. Partners with operational subject matter experts to translate workflows into reliable data solutions, establish data standards, troubleshoot failures, and reduce manual work. The role requires strong SQL, Azure data services, low-code application development, Power BI, systems integration, stakeholder communication, and independent prioritization.

Leads the design and implementation of business intelligence solutions, maintaining Power BI data models and building enterprise dashboards for finance, human resources, and conservation programs. Investigates business questions, translates requirements into technical specifications, guides analytics projects, enables self-service analytics, and advances AI-enhanced workflows. The role also supports data governance, documentation, troubleshooting, stakeholder communication, and data-driven decision-making.

Lead analytics support for Fetch’s Food and Beverage vertical, serving as the primary analytics partner for Sales and client stakeholders. Own sub-vertical partnerships, manage analytic capacity, answer senior-level client questions, and guide campaign strategy. Use SQL to manipulate data, develop actionable insights, support QBR storytelling, and communicate recommendations to technical and non-technical audiences. Represent analytics cross-functionally and automate insights using AI-enabled tools.

Supports dataset collection, cleaning, analysis, visualization, reporting, A/B testing, and performance tracking for education products. The intern will identify trends in student, educator, and product usage data, build dashboards, document analytical frameworks, and communicate insights to technical and non-technical teams. This is a paid, remote 10-week internship with a two-day in-person experience at Amplify headquarters in Brooklyn.

Lead enterprise data governance capabilities across KPI governance, governance platforms, or data access and security. Responsibilities include defining frameworks and controls, managing governance platforms and access policies, partnering with business, technology, privacy, legal, and compliance teams, overseeing vendors, and reporting governance maturity and operational health. The role supports data strategy, trusted data access, Data Command Center capabilities, and responsible data use in a regulated environment.

Analyze Amazon Marketing Cloud, advertising, retail, and commerce data to develop custom queries, reporting, dashboards, tests, forecasts, and actionable client recommendations. Partner with commerce and client teams, explain technical findings, validate data quality, document methodologies, and improve analytics workflows. Support platforms including Amazon, Walmart Connect, and Scintilla while using SQL, BI tools, and optionally Python or R for custom analysis and lightweight modeling.

Build and operate cloud data capabilities, including ingestion pipelines, transformations, data models, curated data products, and data-quality controls. Use Snowflake, dbt, SQL, and Python to deliver governed data for analytics, applications, automation, and AI workflows. Implement testing, CI/CD, documentation, lineage, access controls, monitoring, incident resolution, and performance optimization. Collaborate with engineering, analytics, governance, security, and business teams in an Agile, product-oriented environment with active AI-assisted development.

Own Moxie’s end-to-end data infrastructure, including pipelines, Snowflake warehousing, dbt and Omni modeling, orchestration, observability, and documentation. Partner with Engineering and Finance on schema changes, accounting logic, metrics, and business-critical reporting. Deliver financial or historical EMR data models, establish SOPs and reliability KPIs, optimize performance and cost, and help advance Practice Intelligence toward predictive and prescriptive products with appropriate AI safeguards.

Lead advanced analytics for a consumer mobile app, using large datasets, statistical analysis, experimentation, causal methods, forecasting, and data mining to guide product and business decisions. Build performance metrics, reporting tools, and data pipelines; collaborate with cross-functional teams; present insights to senior leadership; and use AI-assisted tools to automate analytics workflows.

Leads healthcare quality analytics using hospital performance, national rankings, Medicare claims, and CMS data. Replicates quality methodologies, identifies improvement opportunities, builds dashboards and benchmarking tools, and establishes analytic validation standards. Presents insights to executives and customers, supports pre-sales and engagements, partners with data scientists and consultants, and mentors analysts.