Top Remote Data & Analytics Jobs

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.

The Commercial Analytics Manager provides embedded business intelligence support to a Western U.S. sales division. Responsibilities include performance-to-plan analysis, opportunity identification, syndicated-data interpretation, Power BI tool development, market-specific training, executive presentations, program ROI tracking, and distributor transition support. The role partners with sales leaders, analysts, and cross-functional teams to translate complex commercial data into actionable recommendations and promote data-driven decision-making.

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.

Reviews and compares AI chatbot responses using predefined criteria for accuracy, relevance, completeness, clarity, consistency, and quality. Documents evaluation guidelines, analyzes workflows and data, identifies recurring issues, prepares reports, tracks quality metrics, and collaborates with project teams. This fully remote, 16-week contract requires 8 hours per day, five days per week, with Pacific Time overlap and possible weekend work.

Leads the architecture and evolution of scalable data platforms, pipelines, and data products across multiple teams. Designs Snowflake and cloud-based solutions for batch, streaming, CDC, ingestion, transformation, orchestration, and data delivery. Establishes engineering standards, governance, observability, testing, CI/CD, and reliability practices; mentors engineers; guides architecture and roadmap decisions; resolves complex incidents; and evaluates AI, automation, and MCP-enabled data capabilities.

Leads enterprise analytics, reporting, dashboard development, data governance, and data quality initiatives. Builds data models, ETL processes, pipelines, monitoring solutions, anomaly detection, and surveillance reporting using Power BI, SQL, Databricks, and Epic Clarity. Partners with executive and business stakeholders across healthcare, finance, and strategy to deliver actionable insights and support data-informed decisions, with emphasis on compliance, fraud detection, pharmacy, and investigative analytics.

Build and operate data-intensive web products and APIs, extend high-throughput ETL pipelines and scrapers, ensure reliability/observability, design self-scaling services, participate in code review, and collaborate across product, data, and infrastructure teams to meet production SLAs.

Design, build, and maintain scalable data pipelines, data lakes, and databases; ingest and map customer financial datasets; monitor pipeline reliability; translate business requirements into data flows and analytical insights to ensure high-quality, usable data.

Analyze business processes, workflows, data, and incentive operations to support strategic decisions and process improvement. Develop reports, identify trends, define functional requirements, and translate business problems into actionable use cases. Collaborate with business, IT, product, and leadership stakeholders using Agile methodologies to optimize operations, manage change, and deliver cross-functional initiatives.