Top Remote Data & Analytics Jobs

Develops, maintains, and enhances regulatory and internal statistical reporting using policy, claims, commissions, and unclaimed property data. Extracts and analyzes data, documents requirements and workflows, supports data integrity and compliance, communicates with regulatory entities and internal stakeholders, and recommends process improvements. Performs business testing, post-production monitoring, system reporting requirements, and ArcGIS-based participation verification.

Develop Power BI reports, dashboards, dimensional data models, and optimized reporting solutions. Extract and transform data using SQL, DAX, and M, while gathering business requirements and supporting data collection processes. The role also requires C#/.NET microservice development, SQL Server engineering, Docker and Kubernetes familiarity, GitHub Actions CI/CD, production troubleshooting, and application support. Experience with Power Platform, React, APIs, automated testing, cloud platforms, and construction or semiconductor construction is valuable.

Build and maintain high-performance data lakehouse infrastructure, including Apache Iceberg maintenance workflows, compaction, snapshot expiry, manifest rewriting, and orphan file cleanup. Develop Rust-based SQL routing components, connectors, and query infrastructure. Ensure data integrity under concurrency and failures, contribute to open-source projects, operate production systems, participate in on-call support, and debug customer environments.

The Analytics Manager analyzes complex datasets, builds models, conducts scenario analyses, and provides strategic recommendations to guide decision-making for leadership.

Analyze marketing performance and ROI across markets, identify expansion opportunities, evaluate market saturation and competition, and support investment decisions. The role requires advanced SQL, funnel analysis, dashboard development, multi-source data integration, statistical reasoning, and clear communication of recommendations to marketing and leadership. The analyst will also use AI tools such as Claude and partner with data engineering to improve data quality and decision support.

Develops customer-facing reports and dashboards using regulatory intelligence data. Translates customer requests into scoped queries, extracts and validates data, builds visualizations and executive reports, performs QA, and manages delivery. The role requires interpreting FDA enforcement actions, Form 483 observations, warning letters, and inspection records while ensuring accurate, polished outputs. It also involves using BI tools, SQL, and AI-assisted workflows to support data exploration and reporting.

Analyze corrections and parole administrative data using SQL and Python, model policy scenarios, quantify tradeoffs, and communicate findings to criminal justice decision-makers. The role owns analytical projects end to end, from scoping and strategy through modeling, stakeholder materials, and implementation support. Analysts collaborate with state partners, identify opportunities for further analysis, and develop reusable analytical frameworks to influence policy reforms.

Design, build, and deploy production-grade data pipelines, analytics platforms, and Generative AI applications on Databricks. Lead enterprise migrations from legacy data platforms, architect cloud-native solutions, implement RAG and ML pipelines, and advise executive client stakeholders. Drive Databricks adoption and account growth by identifying new use cases, while mentoring engineers and contributing reusable delivery accelerators.

Manages geospatial data for conservation projects, easements, and monitoring. Performs spatial analysis, remote sensing, eligibility screening, parcel delineation, data quality assurance, and landscape-scale conservation planning. Creates maps, reports, documentation, and visualizations communicating project outcomes. Supports landowner enrollment, carbon project due diligence, conservation tracking systems, baseline reports, easement establishment, and habitat monitoring across the Southern Region.

Build and maintain SupplyHouse’s production data layer in BigQuery using Dataform. Develop tested, version-controlled, documented data models; migrate ad hoc queries into governed transformations; standardize business metrics; implement testing and CI; document lineage; and support trusted self-service reporting. Partner with analysts, business stakeholders, and IT on data ingestion, analytics foundations, and the future BI layer.