Top Remote Analytics Jobs in Boise, ID

The Sr. People Data Analyst role focuses on leveraging data to improve employee engagement and retention. Responsibilities include analyzing people data, developing dashboards and metrics, and collaborating with HR leaders to provide actionable insights. The analyst will also ensure data integrity and use visualization tools to communicate findings effectively.

As a Senior Revenue Operations Analyst, you will oversee sales process planning and optimization, ensuring data accuracy in Salesforce and improving revenue operations. Key responsibilities include opportunity management, data analysis, and reporting, collaborating with sales and IT teams to enhance processes and outcomes.

The Sr. Workday Analyst will design, implement, and support Workday modules, enhance system accuracy and efficiency, provide data reporting, resolve Workday and Kronos escalations, train HR staff, and collaborate with HR partners to meet system requirements.

As a Principal GRC Analyst at Red Canary, you will lead governance, risk, and compliance initiatives, ensuring that policies and controls are effective and compliant. You will conduct audits, manage vendor risk assessments, and support the sales team regarding security compliance terms. Your role involves overseeing security awareness training and business continuity exercises.

The Vice President of Business Development will drive growth in the Data & AI practice by developing go-to-market strategies, qualifying and closing multi-year engagements, and leveraging relationships with platform partners and sales professionals. This role focuses on data modernization, analytics, digital transformation, and implementing data-driven solutions.

As a Senior Manager of Analytics at Spring Health, you will lead the embedded analyst program, collaborating with the Medical Affairs team to improve data infrastructure, tools, and dashboards. You will manage three analysts, refine operational processes, and ensure the team meets its key performance indicators (KPIs).

The Senior Data Scientist will focus on fraud analytics, applying statistical modeling and machine learning to detect fraud in consumer-facing applications. Responsibilities include analyzing large datasets, developing predictive models, and creating real-time monitoring systems to identify and combat fraudulent activities.