Top Remote Data & Analytics Jobs

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.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

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.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Owns Luna’s business intelligence, reporting, data architecture, automation, and AI capabilities. The role builds trusted dashboards and metrics, automates Salesforce and NetSuite reporting, establishes data governance, supports forecasting, commissions, procurement, and executive reporting, and develops AI-enabled workflows. It also maintains production data pipelines and integrations, improves documentation and controls, and mentors teams in analytics best practices.

Develops enterprise Tableau dashboards, executive scorecards, and KPI reporting using advanced SQL and business intelligence techniques. Analyzes financial, operational, lending, and member data; performs forecasting, statistical analysis, data validation, and root cause analysis. Partners with executives and stakeholders to translate business needs into scalable reporting solutions, communicates actionable insights, supports data governance, and mentors junior analysts.

Analyze customer journeys, churn, acquisition, activation, retention, conversion, attribution, experimentation, and media mix performance. Build advanced analyses, models, metrics, and scalable dashboards that support B2C Marketing decisions. Partner with stakeholders and data engineering to improve data quality, governance, reporting adoption, and strategic outcomes while independently managing multiple complex projects.