Top Remote Data & Analytics Jobs in Reno, NV

The role involves managing U.S. withholding tax operations, ensuring compliance with IRS requirements, and collaborating with different teams for process improvements.

Lead Toast's credit risk strategy, overseeing portfolio management, product growth, and analytics while ensuring compliance with regulations and mentoring analysts.

As a Lead Data Analyst, you'll leverage data insights to drive business outcomes, partner with departments on data needs, and create dashboards and tools using various technologies.

Lead the architecture and implementation of Salesforce Data 360 solutions focusing on healthcare, ensuring compliance, and guiding teams through complex projects.

The Business Intelligence Developer will build scalable data models, develop KPIs, optimize BI tools, and translate insights for strategic decision-making across departments.

Lead analytics strategy for a financial institution, ensuring compliance and driving marketing analytics through predictive modeling and team management.

As a Sr Workday Analyst, you will configure Workday for Payroll and Time Tracking, collaborate with HR, and streamline processes.

The Senior Data Analyst will analyze data, build models, and provide insights to support decision-making for operational and leadership teams, while collaborating with technical and non-technical stakeholders.

The Principal Data Analytics & Intelligence Specialist leads data management projects, develops strategies, ensures data quality, and collaborates with teams to derive insights for Private Banking.

Lead a team of data scientists to develop marketing mix and attribution models, providing insights on marketing performance and optimizing investments across products and channels.

Support default management by analyzing mortgage performance, designing operational strategies, and collaborating with cross-functional teams to enhance risk management.

The Senior Manager, FP&A will manage budgeting, forecasting, and reporting, drive financial insights, partner with executives, and mentor junior team members.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.