Top Remote Analysis Reporting Jobs in Rochester, NY

Lead and scale enterprise data governance operations: manage the data domain model and business glossary, run governance council operations, enforce data policies and compliance (SOC 2, GDPR/CCPA), drive catalog adoption and data literacy, and measure governance maturity and ROI through dashboards and remediation workflows.

Build, model, and maintain scalable BigQuery-based data solutions on GCP. Implement performant data models, storage partitioning/clustering, ETL improvements, data validation, and documentation. Collaborate with architects, data scientists, and engineers to deliver governed, high-quality data for reporting and AI initiatives.

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

Perform end-to-end analytics to quantify partner value and build ROI narratives from pilot datasets. Support sales and partner success with discovery calls, fraud strategy discussions, presentations, technical support, and thought leadership (white papers). Coach team members, maintain customer relationships, and communicate insights to senior stakeholders to drive adoption.

Design and automate reporting and workflows for financial operations. Analyze and troubleshoot data pipelines, build reports, collaborate with SMEs to remove manual bottlenecks, and own small optimization projects to improve operational efficiency.

Lead global Customer Success analytics strategy, architect data and health/adoption models, oversee data pipelines, deliver executive-level storytelling, mentor an analytics team, and drive cross-functional KPI alignment and self-serve BI adoption.

Build and maintain cloud cost monitoring, alerting, and optimization tooling. Develop automation, cost allocation/tagging, data pipelines, dashboards, and integrations with billing APIs. Support FinOps processes, implement cost guardrails, troubleshoot cost systems, participate in on-call rotation, and collaborate with senior engineers and product teams to drive cost-efficient infrastructure and reporting.

Lead design and execution of an enterprise data governance framework: set policies for data quality, metadata, lineage and privacy; run governance councils; operationalize data ownership and stewardship; implement data cataloging; embed controls in pipelines; ensure compliance and drive organization-wide adoption and change management.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

Embed with the CRO to deliver GTM analytics and insights: write SQL and dbt models, build Looker and Salesforce dashboards, define and track revenue KPIs, forecast and model revenue, partner with GTM leaders and Data Engineering, lead analytics projects, and translate complex data into executive-ready recommendations to drive upsell and new-business growth.

Design, build, and maintain end-to-end data models and pipelines to support CX operations, compliance reporting, and customer insights. Create dashboards and metrics, enforce data quality and governance, automate recurring workflows, and partner with stakeholders and broader data teams to deliver self-serve analytics solutions.

Own and architect large-scale data pipelines, orchestration, and integrations. Drive IaC strategy (Terraform), third-party API and AI/LLM tool integrations, build export pipelines and internal tooling, mentor engineers, and align cross-team technical strategy for reliable, scalable data infrastructure.