Top Remote Data & Analytics Jobs

Own end-to-end analysis of payments, chargebacks, and user lifecycle to identify drivers of net loss. Deep-dive into fraud cases, design and evaluate A/B experiments and risk-rule changes, build monitoring dashboards, partner with Risk, Payments, and Product to convert insights into mitigations, and run ad-hoc analyses of emerging loss trends.

Lead competitive intelligence activities by monitoring competitor and market signals, producing executive-ready insights, building CI toolkits (profiles, scorecards, dashboards), performing ad hoc deep dives, and partnering cross-functionally to convert insights into action. Maintain a SharePoint intelligence hub and use AI-enabled tools and automation to accelerate research and repeatable reporting while validating sources and prioritizing high-impact work.

Lead product analytics: build and maintain dbt models and Looker dashboards, define KPIs, analyze funnel and user journeys, design and evaluate A/B tests, size roadmap impact, and deliver partner and ad-hoc insights to inform product and executive decisions.

Lead Business Intelligence and GTM Data Science to define Zip's data strategy, build a single source of truth and executive/GTM dashboards, enable AI data foundations, partner with Product Data Engineering, hire and scale the analytics team, and deliver automated executive and board reporting.

Gather and document business requirements for GRC implementations, translate regulatory needs into functional specs, build dashboards/reports (SoD, remediation, control effectiveness), support client onboarding and process mapping, manage Agile ceremonies in JIRA/Confluence, and prepare audit-ready documentation while liaising between compliance stakeholders and technical delivery.

Lead day-to-day management of multi-year data projects (Neighborhood Vitality Index, Hope Starts Here). Conduct quantitative and qualitative analysis, design and analyze surveys, coordinate with external partners and internal teams, perform stakeholder outreach and engagement, and produce accessible data products and communications for non-technical audiences to inform decision-making across Detroit-area organizations.

Analyze conversational call flows and large datasets to optimize IVR and generative AI systems. Perform call testing, annotation, dashboard monitoring, and deliver data-driven insights and presentations to improve self-service, reduce agent handling, and enhance customer experience.

Lead end-to-end measurement, optimization, and reporting for engagement and activation programs. Design and run A/B and multivariate tests, perform funnel, cohort, and segmentation analyses, build/validate dashboards and data pipelines, ensure data quality, and translate insights into executive-facing recommendations. Partner with product, engineering, creative, and client teams to drive measurable program improvements in regulated healthcare environments.

As a Senior Impact Analyst, you will analyze sustainability challenges, design and manage interventions, and work closely with smallholder communities, emphasizing rigorous research and collaboration.

The Senior Business Analyst will analyze healthcare data, manage requirements for data warehousing projects, and contribute to Business Intelligence initiatives. Responsibilities include data aggregation, understanding database structures, EDI claims, and conducting data quality checks.