Top Remote Data & Analytics Jobs

Trace3 seeks enthusiastic individuals for its Data Intelligence Team. The role focuses on innovative technology solutions and consulting services, fostering a collaborative and dynamic work environment.

Perform data extraction from SQL/NoSQL systems, validate and transform data, and run statistical and psychometric analyses (IRT, reliability, norming). Validate assessment logic, define quality metrics, design research and simulation studies, and present findings via reports and dashboards. Collaborate cross-functionally and maintain current psychometric and data engineering practices.

The Product Analyst Intern will analyze data to support product strategy, optimize offerings, and communicate insights to stakeholders.

Design and develop reports and dashboards (Tableau, Power BI, Looker, D3) by partnering with stakeholders. Use SQL to explore and import data, create prototypes, ensure data accuracy through quality checks, optimize BI deliverables, document and train end users, and promote best practices in data visualization and UX.

The QC Manager ensures the integrity of the Neighborhood Captains program, monitoring data quality, conducting voter follow-ups, managing plants, and supporting Organizers with actionable insights.

The role involves leading global forecasting and performance management, setting standards, overseeing processes, collaborating with cross-functional teams, and developing a high-performing team in the oncology biotech sector.

Analyze sales data, build and maintain dashboards and scorecards (Power BI, Excel), evaluate market trends, employ AI/automation for pipeline and lead scoring, support sales leadership with actionable insights, document processes and collaborate cross‑functionally to improve sales performance and planning.

The Pricing Analyst III develops pricing models and performs analysis in mortgage insurance pricing, presenting findings to senior leadership.

Perform part-time quality audits and evaluations of task outputs, define and refine quality benchmarks and scoring rubrics, analyze audit results to produce actionable insights and reports, and recommend process improvements to raise output quality.

The Lead Risk Analytics Data Scientist will develop risk pricing, design data models, automate workflows, and communicate insights to leadership. Responsibilities include owning the risk narrative, building analytics foundations, and utilizing AI to enhance efficiency.