Top Remote Data & Analytics Jobs

Leads operational analytics for the Take 5 Oil Change network, translating transactional and market data into insights that improve sales, profits, volume, and shop performance. Responsibilities include complex analysis, KPI reporting, dashboards, executive presentations, operational initiative measurement, stakeholder collaboration, data-quality improvement, and mentoring analysts. The role requires strong Excel, SQL, financial modeling, communication, and multi-shop operations experience.

Supports medical education evaluation and grant-seeking through data manipulation, statistical analysis, reporting, visualization, and stakeholder communication. The role prepares reports, presentations, conference abstracts, and publications using Excel, R, SPSS, SAS, and related tools. It also explores open-ended evaluation questions, manages multiple projects, and applies generative AI to accelerate report drafting, data validation, formatting, and deliverable quality assurance.

Analyzes and validates data to create dashboards, reports, notebooks, visualizations, and reusable analytical workflows. Partners with business, technical, and customer stakeholders to define questions, improve datasets, communicate insights, and support operational and revenue decisions. Uses SQL, Databricks, Python, cloud platforms, version control, and automation practices. Maintains data quality, documents assumptions, manages multiple analytical projects, and travels occasionally to lottery and corporate locations.

Collects and researches equipment cost data for quarterly product updates, performs data analysis, and supports ownership and operating cost calculations. Maintains reports and dashboards, responds to data requests, audits processes, improves documentation, and partners with engineering and data quality teams to streamline workflows and ensure reliable, high-quality data.

Manages enterprise data governance and privacy compliance programs, including GDPR and CCPA adherence, data subject rights processes, governance controls, privacy documentation, compliance metrics, and continuous improvement. Coordinates with business, legal, compliance, security, and technology stakeholders; maintains process documentation; monitors risks and response timelines; supports automation, reporting, awareness training, and audit readiness across global operating units.

Lead marketing analytics: own reporting frameworks, dashboards, and data quality; monitor KPIs; run A/B tests and experiments; build attribution, forecasting, segmentation, and budget-allocation models; automate workflows and drive continuous measurement improvements.

Analyze sales, customer, channel, shopper, and promotional performance to identify growth opportunities and improve trade investment productivity. Prepare reports, forecasts, business reviews, and actionable presentations for Sales and Trade Marketing teams. Support commercial planning, negotiations, process improvement, data governance, and IT integration while ensuring data accuracy and translating insights into market execution.

Own advanced analytics for Airbnb product teams, using large datasets, statistical modeling, experimentation, causal methods, forecasting, and metrics development to guide product and business decisions. Build reporting and analytical tools, collaborate cross-functionally, automate repetitive work with AI, and present actionable insights to senior stakeholders. The role supports Guest App or API initiatives, including promotions and marketplace optimization.

Analyze product telemetry, user signals, performance, behavior, feature adoption, and product metrics. Develop recurring reports, dashboards, and visualizations, investigate issues and trends, and provide insights supporting product initiatives and rapid iteration. Collaborate with Product Managers, Applied Scientists, Engineers, and stakeholders across China and the United States.

Conduct product analytics for MoneyGram’s digital money transfer products. Analyze customer behavior, product performance, experiments, feature releases, and cohort metrics to guide product strategy and growth. Build insights and reporting, collaborate with Product, Engineering, Marketing, Finance, and international teams, and improve analytics platforms, automation, and visualization processes. Translate complex findings into actionable recommendations for technical and non-technical stakeholders.