Top Remote Artificial Intelligence Data & Analytics Jobs

Lead data analysis and BI efforts to inform clinical and business strategy. Design data models, ETLs, dashboards, and visualizations; perform pattern and regression analyses; ensure data quality; deliver actionable insights and executive presentations; manage large-scale analytics projects and stakeholder relationships.

Use multi-source data to analyze and forecast trends, build operational models, and create reporting dashboards. Translate insights into clear recommendations to inform strategic and operational decisions. Support business initiatives by designing and implementing data-driven solutions and processes.

Develop, enhance, and maintain analytics and analytic applications; interpret business requirements and create technical designs; perform data extraction, analysis, testing, and performance tuning; mentor team members and improve production processes; support fraud analytics in healthcare data environments.

Design, build, and optimize Snowflake-based data platform: develop ELT pipelines, data models, governance, security, performance tuning, cost optimization, CI/CD, and advanced Snowflake features. Collaborate with stakeholders, mentor engineers, and deliver scalable data solutions for analytics.

Lead client-facing data solutioning and pre-sales efforts for Consumer verticals, design executable data architectures, support pursuit to close, and provide ~50% hands-on delivery and architectural oversight while ensuring information security and data privacy compliance.

Lead data engineering efforts within Technology Consulting: design data architecture and pipelines, implement AWS/Redshift and ETL solutions, support BI (QlikView/Oracle BI), coach teams, manage client relationships and SLAs, apply systems thinking to optimize outcomes and validate solutions with stakeholders.

The Senior Manager of Data Engineering will build a data platform, lead a team, and ensure data accessibility to support AI and business operations.

As a Staff Data Analyst, you'll drive data analysis, build business intelligence tools, and collaborate across teams to optimize Upstart's servicing strategy, while mentoring junior analysts.

Lead and build Coupa's post-sale customer intelligence function: integrate structured and unstructured data, create diagnostic and predictive analytics for churn/expansion/adoption, define AI value measurement, and grow a team to deliver executive-level insights.

The Log Specialist at Dynatrace leads log management initiatives, collaborates with sales, architects data ingestion solutions, and advocates for enhanced log consumption strategies.

The Forward Deployed Accountant leads the deployment of AI Agents for corporate accounting, trains teams, and ensures proper configuration and documentation of automated workflows.

As a Pricing and Revenue Planner, you will manage pricing analytics, forecasting, synthesizing data into actionable insights, and collaborating with various teams to drive revenue improvements and profitability analysis.

The Data Analyst will perform analytics to support client deliverables, automate processes, and partner with product teams to enhance solutions.