Top Data & Analytics Jobs in Las Vegas, NV

Work with healthcare clients to implement and optimize Health Catalyst's Measurable product by querying and analyzing data with SQL, validating quality measures, troubleshooting data integration and quality issues, performing root-cause analysis, modifying queries, and supporting implementations from discovery through go-live while documenting findings and collaborating with cross-functional teams.

Lead client onboarding and post-go-live support for cloud-based healthcare analytics. Translate business requirements into technical specs, manage secure data ingestion (SFTP, APIs, S3), model dimensional schemas and OLAP cubes, join and validate payer datasets, collaborate with engineering on Snowflake/Trino pipelines, support BI dashboards, troubleshoot data issues, and drive internal process and product improvements.

Own product telemetry, maintain dbt models in Snowflake, support self-service reporting and NLP queries, drive product insights from user and retention data, and monitor Airbyte syncs to ensure data quality.

Design and build BI ingestion pipelines and star-schema data models, develop calculations (DAX), create dashboards and paginated reports, manage governance/access (RLS, workspaces), and collaborate with cross-functional teams to deliver business-focused visualizations.

Lead enterprise data analytics, pipelines, BI, and data governance. Build and monitor ELT/ETL pipelines, develop executive dashboards, define data contracts and domain models, standardize integration patterns, and ensure HIPAA/SOC2-compliant data practices across affiliated entities.

Client-facing role supporting Opella Consumer Healthcare vitamins: translate syndicated data into actionable insights, drive client growth, deliver trainings, use Circana platforms (Unify+, Liquid Data, Intelligence Suite), collaborate cross-functionally, maintain OTC category expertise, and build stakeholder relationships to ensure client success.

Design and build Power BI reports and SSRS reports, write advanced SQL to extract and validate data, create scalable data models, investigate trends, automate reporting processes, and collaborate with business partners to translate requirements into usable analytics solutions.

Design, deploy, and maintain scalable data infrastructure and orchestration for analytics and ML; write optimized SQL over large warehouses; partner with engineering and product to structure source systems; maintain CDC pipelines; scale reporting and expose analytical datasets enterprise-wide while ensuring data management, security, and compliance.

Lead a team of BI engineers to design, govern, and deliver enterprise BI platforms, dashboards, and self-service analytics. Ensure data accuracy, KPI standardization, platform administration (Power BI/Tableau), semantic modeling, and stakeholder engagement while enforcing governance, driving adoption, and mentoring staff.

Design and own end-to-end data platform architecture, build ingestion and transformation pipelines, model multi-tenant datasets, optimize Postgres and ClickHouse performance/cost, implement orchestration and observability, define data quality and reconciliation standards, and mentor data/product engineers.