Top Data & Analytics Jobs in Las Vegas, NV

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.

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.

Support client engagements by analyzing store and department trends, developing high-level insights and recommended actions, partnering with consultants, building stakeholder relationships, and using Circana platforms to drive client growth and success.

Design, build, and maintain scalable Databricks-based data pipelines and ELT workflows; develop and document dbt models; define data modeling methodology; ensure data quality, reliability, and scalability; collaborate with clients and cross-functional teams; provide technical guidance and deliver improvements to clients' data infrastructure and analytics capabilities.

Conduct client-facing analysis of POS and retail sales data to produce strategic insights. Scope research, write SQL and Python scripts to extract and analyze large datasets, create executive-ready deliverables, and serve as a power user of Bolt to improve and evaluate AI-driven analytics. Partner cross-functionally and manage client expectations throughout projects.

Manage client data reconciliation projects by establishing broker data connections, preparing and verifying large datasets, troubleshooting broker feeds, responding to inbound client queries via Salesforce ServiceCloud, demonstrating services and identifying cross-sell opportunities, and supporting ad-hoc operational projects to improve team effectiveness.

The Senior Data Analyst will drive product insights through analyses, support A/B testing, and develop reporting to enhance product growth and user acquisition.