Top Data & Analytics Jobs in Las Vegas, NV

The Fraud Analyst monitors transactions for suspicious activity, uses fraud detection tools, documents findings, communicates with clients, and supports the Risk & Compliance team.

Build and maintain data marts, materialized views, and ETL/ELT pipelines in an AWS-hosted data lake. Design and optimize data workflows, monitor infrastructure health and data quality, support PostgreSQL migrations, collaborate with cross-functional teams, and ensure compliance with federal data security (FISMA/NIST 800-53).

Hands-on business and delivery analyst who translates stakeholder needs into data integration solutions. Leads current/future-state and gap analysis, requirements, mapping, migration, testing, and delivery coordination. Partners with Operations, Finance, Compliance, and Purchasing to streamline workflows, promote data-driven decisions, and support adoption of analytics and cloud-based tools to improve operational outcomes.

Lead and run Alpaca's data governance and data security program across the lakehouse and analytics stack. Build policies, data classification, entitlement reviews, access controls, metadata/lineage, data quality standards, vendor and use-case reviews, audit evidence for SOC2/ISO27001, and support cross-border sensitive data requests while partnering with Data Engineering, Data Science, Security, Privacy, and Legal.

Lead cross-functional analytics and reporting efforts: build and maintain dashboards and automated reports, extract/clean large datasets from ERP/eCommerce/operational systems, define KPI governance, support forecasting and budgeting, improve data pipelines, and deliver actionable insights to inform strategic and operational decisions.

Lead research on the macroeconomics of AI by authoring flagship reports, building quantitative forecasting models, integrating bottom-up semiconductor and datacenter data into macro estimates, developing LLM-driven research pipelines, performing econometric analysis, and communicating findings to investors, policymakers, and the public.

Perform reserving, pricing, and predictive modeling for personal lines insurance. Support regulatory filings, provide data-driven insights for product decisions, automate processes, and collaborate with business partners to forecast risk and inform strategy.

Ensure engineering teams build the right work by producing high-quality context, maintaining AI-driven documentation, writing and validating SQL analyses and recurring reports, prototyping proofs-of-concept, and capturing acceptance criteria, edge cases, and measurable outcomes.

Build and maintain production dbt models on Databricks as the organizations source of truth. Ensure data quality via testing, CI/CD, and documentation. Create Databricks dashboards and semantic metrics, support external reporting, and partner with engineering and analytics teams to turn business problems into durable data products. Drive AI-native workflows using tools like Cursor and Claude Code.

Embed with a single enterprise client to build and edit SQL for audience building and campaigns, design scalable data models, clean and automate pipelines, investigate data discrepancies, and improve workflows to support fast weekly delivery cycles.