Top Remote Data & Analytics Jobs

Designs and optimizes scalable data platforms, architectures, and production pipelines supporting AI and machine learning. Responsibilities include Databricks Lakehouse development, batch and real-time processing, data governance, security, monitoring, performance tuning, infrastructure planning, and collaboration with DevOps, MLOps, and cross-functional teams. The role serves as the AI team’s data engineering subject matter expert and ensures reliable, secure, cost-effective data solutions.

Analyze credit portfolio and loan performance, forecast losses, identify risks and opportunities, and develop strategies to improve credit outcomes and origination volume. Use SQL, Python, dashboards, and visualizations to deliver actionable insights. Present recommendations to stakeholders and senior leaders while managing analytical projects, A/B tests, roadmaps, and business priorities independently.

Lead the architecture and hands-on development of an AI-enabled data migration platform for legal software. Own extraction, transformation, orchestration, data quality, observability, and scalable go-live workflows. Partner with product management to define roadmap priorities, lead a focused engineering team, make architectural decisions, contribute code, and apply AI to migration assessment, mapping, validation, and automation.

Evaluate search engine results and provide feedback on text, audio, images, and videos to improve AI and online search experiences. Conduct online research, assess relevance and significance, maintain quality and accuracy standards, and complete assignments independently from a home office. The role requires English and Spanish proficiency, flexible part-time availability, completion of training and testing, and use of a smartphone, computer, reliable internet, and antivirus software.

Leads the IT team, establishes goals, supports the IT Director, and improves departmental efficiency and data integrity. Maintains dashboards, data models, and data pipelines while identifying process issues affecting business data. The role requires strong analytical, problem-solving, communication, automation, data visualization, website and CMS management, marketing technology, basic programming, and API integration skills. It is a permanent remote position operating Monday through Friday on Eastern Standard Time.

Provides Tier 1 and Tier 2 remote technical support for hardware, software, peripherals, networks, VPN, and MFA issues. Configures and ships laptops and equipment for new hires, manages accounts and permissions across Google Workspace, Microsoft 365, Slack, and internal systems, and develops knowledge-base documentation and training guides. Supports the company’s North American expansion and remote workforce.

Analyzes, cleans, validates, and visualizes healthcare data to produce reliable reports and dashboards. Collaborates with stakeholders to translate business needs into analytical tasks, identifies trends and opportunities, improves data quality and reporting processes, and presents dashboards to field executives. The role focuses on behavioral health and clinical data across multi-site healthcare operations.

Performs linguistic and metadata quality assurance for consumer technology products, evaluating written and spoken content across assigned languages and locales. Reviews and creates Music and TV application content, follows testing instructions, style guides, glossaries, and quality standards, and collaborates with international teams to improve product and partner data quality. Requires strong language and cultural expertise, spreadsheet skills, attention to detail, and comfort with repetitive computer-based work and potentially offensive content.

Build and maintain dbt and semantic data models in Snowflake, develop ingestion and transformation pipelines, define trusted product metrics, and improve data collection. Partner with Product and Engineering to support experimentation and feature analysis. Establish data quality testing, documentation, HIPAA-aware access controls, and compliance practices. Use and validate AI-generated code and Snowflake Cortex outputs while raising technical standards across the team.

Build customer health scores, churn and expansion analytics, retention dashboards, automated alerts, and executive reports. Maintain integrations among databases, CRM, and BI tools while improving data quality and standardizing reporting. Lead AI adoption for analytics, validate generated insights, and enable customer-facing teams to make informed retention and expansion decisions. Requires strong BI, logistics or supply chain analytics, dashboarding, data integration, communication, and customer-focused skills.