Top Remote Data & Analytics Jobs

Supports CDC foundational and healthcare data assets across their full lifecycle, including ingestion, validation, quality control, transformation, documentation, versioning, dissemination, and archival. Evaluates data quality, analytical readiness, and fitness for use; develops reusable data products, metadata, ontology objects, extracts, and analytic assets. Performs analysis using Python, R, SQL, SAS, Spark, and Databricks; collaborates with scientists, analysts, engineers, and program staff; and provides technical assistance promoting reproducible, standardized data management practices.

Design and implement end-to-end cloud data solutions, lead or mentor engineering teams, ensure performance, security, and scalability, integrate diverse data sources, write and optimize SQL, program in Java/Python/Scala, produce presentations and detailed solution documentation, and engage directly with clients to deliver production-ready systems.

Own data ingestion, transformation, exchange, and integration workflows between K–12 Student Information Systems and Timely’s scheduling platform. Ensure pipeline accuracy, security, reliability, and scalability while collaborating with engineering, product, customer success, district IT teams, and SIS vendors. Develop documentation, process improvements, automation scripts, and lightweight Python tools; lead discovery for new SIS integrations and help scale the data integrations function.

Analyze business performance, develop hypotheses, answer critical business questions, and build dashboards and reports in Sigma. Support budgeting, forecasting, data quality checks, and reconciliations while partnering with teams across growth, product, insurance, finance, and leadership. Serve as a trusted data advisor by answering metric and reporting questions and promoting data-driven decision-making.

Lead the architecture and delivery of end-to-end Azure data platforms, including ingestion, transformation, modeling, analytics, activation, APIs, and agentic AI integrations. Build production-grade batch and streaming pipelines using Microsoft Fabric, Azure Databricks, PySpark, Python, and SQL. Establish governance, security, lineage, and performance standards; troubleshoot critical systems; mentor engineers; advise client stakeholders; contribute to presales and reusable engineering frameworks.

Design and build a durable data storage platform that preserves source disagreements, provenance, uncertainty, historical versions, and evidence. Develop result and evidence stores, lineage tracking, versioned rules and configurations, reproducible decision records, and point-in-time entity views. Collaborate with entity-resolution and machine-learning teams to support probabilistic outputs. The role requires production data engineering experience, strong Python and SQL, PostgreSQL expertise, U.S. citizenship, and an active Secret clearance.

Develop marketing budget allocation models, Early LTV metrics, performance diagnostic frameworks, and analytical tools. Analyze products, channels, campaigns, cohorts, attribution, and marketing economics using SQL, experimentation, BI tools, and spreadsheets. Support AI-based analytics development and unified BI metrics while translating findings into business rules and recommendations.

Analyze client website and funnel data using spreadsheets, analytics platforms, and CRM tools. Create and maintain reports, investigate data anomalies, identify root causes, gather reporting requirements, document report updates, and uncover opportunities for website A/B testing. The role requires strong data literacy, attention to detail, English communication, adaptability, and willingness to learn conversion rate optimization.

Designs and implements scalable software solutions, develops maintainable features, resolves bugs, optimizes performance, and writes automated tests. Participates in architecture discussions, code reviews, Agile planning, CI/CD, observability, and adoption of AI-assisted engineering tools. Collaborates with QA, Product Management, and DevOps to deliver software across web, desktop, cloud, and IoT environments. The role is remote for candidates in the Seattle or Los Angeles metropolitan areas, with quarterly travel to Los Angeles.

Analyzes customer support, CX, survey, and operational data to produce reports, identify trends and gaps, and inform continuous-improvement roadmaps. Elicits and documents requirements, user stories, acceptance criteria, process maps, and alternatives analyses for IT and automation initiatives. Maintains CX roadmap and gap-analysis artifacts, prepares governance briefings, supports KPI reviews and UAT, and collaborates with technical, business, and government stakeholders.