Top Data & Analytics Jobs in Reno, NV

Lead a BI engineering team, overseeing dashboards, data models, SQL/dbt transformations, ETL pipelines, Airflow DAGs, data warehouses, CI/CD, governance, and quality standards. Partner with stakeholders to define reporting requirements, conduct advanced analyses, manage Agile projects, and develop data strategy. Mentor team members and support production deployments. This fully remote role requires travel to Denver for five business days each quarter.

The Database Administrator III role requires U.S. citizenship and completion of all work within the continental United States, Alaska, or Hawaii. The provided description does not specify database administration responsibilities, tools, or technical qualifications. Compensation is $120,000 to $150,000 annually.

The BI Engineer administers enterprise BI and analytics platforms, governs data consumption, and develops dashboards, reports, KPIs, and self-service analytics. The role translates business requirements into scalable, validated solutions; manages access controls, metadata, data quality, continuity planning, platform costs, and process improvements. It also provides stakeholder consultation, resolves complex technical issues, mentors teammates, and supports enterprise data transformation using Power BI, Tableau, Azure, SQL, and multiple database technologies.

Leads the architecture, design, and implementation of Azure-based analytics and data engineering solutions. Develops and optimizes data pipelines, ETL/ELT processes, query layers, Delta Lake solutions, and integrations across Databricks, Azure Data Lake, Synapse, Data Factory, and Power BI. Partners with stakeholders, oversees end-to-end delivery, ensures security and governance, documents data flows, and mentors data engineers while promoting scalable, high-quality solutions.

Analyze and model property catastrophe reinsurance treaties using catastrophe modeling platforms. Prepare and validate exposure data, execute models, interpret risk metrics, develop scenarios, and identify portfolio risk drivers. Support underwriting, actuarial pricing, placement, renewals, and management decisions through clear reporting. Participate in model validation, calibration, research, and development while collaborating with underwriters, actuaries, and other stakeholders.

Leads enterprise data strategy, governance, quality, reporting, and information systems for healthcare and PBM business units. Manages development and reporting teams, owns the data roadmap, serves as product owner, and partners with corporate and client IT teams. Oversees data platforms, AWS infrastructure, SQL databases, security assessments, compliance, issue resolution, and strategic data initiatives while promoting data-driven decision-making and standardized data practices.

Collect, clean, validate, and analyze operational data from multiple systems for customer reporting and business insights. Perform SQL-based processing and data uploads, identify data inconsistencies, maintain reliable datasets, document procedures, and develop standardized workflows. Support dashboards, reporting tools, process improvement, and automation initiatives while collaborating with cross-functional teams and traveling to customer sites.

Collect, clean, validate, and analyze operational data from multiple systems to support customer reporting and performance monitoring. Process SQL-based uploads, maintain accurate datasets, identify trends and anomalies, document reporting procedures, and create standardized workflows, dashboards, and tools. The role also supports process improvement and automation initiatives while collaborating with cross-functional teams and traveling to customer sites.

Design and support ETL, data migration, transformation, import, export, and validation workflows for moving legacy EHR data into athenahealth systems. Build Python and SQL utilities, define source-to-target mappings, support HL7 and FHIR interoperability, validate EHI exports, investigate data quality issues, document processes, and collaborate with product, implementation, operations, sales, and engineering teams in a remote environment.

Leads a team delivering Customer Success reporting, dashboards, KPI frameworks, and operational analytics. Oversees reporting accuracy, data integrity, recurring metrics, workflow improvements, and automation. Partners with Customer Success and services leadership to translate business needs into analytical requirements, prioritize initiatives, standardize reporting methodologies, and communicate performance insights. Coaches analysts, manages workload and development, and supports data-driven operational decision-making and scaling.