Top Remote Data & Analytics Jobs in Buffalo, NY

Support day-to-day reporting and analytics: respond to reporting requests, build and maintain dashboards in Sigma, create ad hoc reports, reconcile datasets, define metrics with stakeholders, document reporting logic, and assist on larger analysis and rollout efforts.

Lead analytics projects by designing datasets, writing advanced SQL, building dashboards (Tableau/Power BI), conducting statistical analyses and A/B tests, mentoring junior analysts, and partnering with cross-functional teams to drive data-informed decisions and improve member services.

Own customer reporting and analysis across lifecycle metrics (acquisition, retention, churn, LTV). Write and optimize complex SQL in Snowflake, build standardized datasets and dashboards, analyze cohorts and subscription dynamics, support experimentation and measurement, ensure data accuracy through QA and documentation, and deliver executive-ready insights to cross-functional teams.

The Data Engineer will enhance the Enterprise Data Warehouse, modernizing ETL processes, optimizing data transformations, ensuring data quality, and providing production support while collaborating with cross-functional teams.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

Design and maintain cloud data lake architecture, build ingestion and transformation pipelines from SaaS sources, enable analytics and BI (Tableau/Looker), enforce governance, and lead technical direction across teams.

As the Director of Global Support Analytics, you'll oversee analytics and process optimization to enhance customer support, integrating various data sources and establishing KPIs for operational excellence.

As a Senior BI Data Analyst, you'll analyze complex datasets, build SQL queries, develop predictive models, and create dashboards to drive insights and recommendations.

The Senior Business Analyst will provide data-driven insights to enhance the performance of the Support organization, focusing on analytics, dashboard creation, and operational improvements.

Collect, analyze, and interpret complex data; build and maintain data systems and models; create visualizations, reports, and dashboards; collaborate with cross-functional teams to inform business decisions.