Top Data & Analytics Jobs in Las Vegas, NV

Design, build, and maintain scalable data pipelines, data lakes, and databases; ingest and map customer financial datasets; monitor pipeline reliability; translate business requirements into data flows and analytical insights to ensure high-quality, usable data.

Organize and curate large volumes of raw information: extract key points from transcripts, maintain clean spreadsheets, curate links/resources, tag and categorize content, and follow or propose systems for information structure. Part-time remote role with initial 10 hours/week and potential to grow.

Support Sales and Key Account teams by owning trade performance reporting, building dashboards, analysing promotional ROI, preparing category presentations for range reviews, and collaborating with Marketing, Supply Chain, and Finance to drive commercial decisions.

We are seeking an experienced data analyst to maximize our service offerings through data mining, generation, and visualization, while producing goal-oriented reports.

The Technical Enablement & Documentation Lead is responsible for developing and maintaining product documentation, creating a certification program, and collaborating with teams to improve the knowledge experience for Flosum's users.

As a Senior Marketing Data Scientist, you will conduct quantitative analyses, manage marketing tests, and provide actionable insights to enhance marketing performance and investment effectiveness.

As a Curriculum Manager, you'll create and manage cloud education content, collaborating with experts, utilizing AI tools, and addressing curriculum gaps.

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.