Top Remote Analytics Jobs

Develop data models, analyses, dashboards, and automated reporting for a collectibles marketplace. Partner with engineering, product, and data platform teams to define business metrics, identify customer experience and growth opportunities, inform strategy, and lead initiatives that improve business performance.

Analyze Medicaid and T-MSIS data to support healthcare payment model implementation and operations. Translate policy requirements into SQL specifications, analytic code, payment calculations, attribution methodologies, and quality measures. Assess data quality across states and delivery systems, validate outputs, document methodologies, and prepare reports for technical and non-technical audiences while collaborating with policy, operations, and analytics teams.

Owns fraud performance analytics for depository products, including monitoring losses, approval rates, false positives, customer friction, and risk metrics. Builds data models, transformation pipelines, dashboards, scorecards, and monitoring frameworks. Conducts fraud deep dives and develops optimized rules, policies, thresholds, models, and decision strategies. Partners with Product, Engineering, Machine Learning, Data Engineering, Fraud Operations, and Risk teams to improve fraud detection and support product launches.

Leads analytics strategy and technical delivery for clients, specializing in Adobe Analytics and Customer Journey Analytics. Conducts measurement workshops, defines KPI and implementation strategies, oversees tagging and data quality, guides experimentation, and reviews dashboards and insights. Advises senior stakeholders, manages and mentors consultants, supports proposals and account growth, and contributes to Adobe Experience Platform initiatives involving Target, RT-CDP, and AJO.

Supports Cencora’s enterprise data and analytics platform modernization by collecting and analyzing datasets, creating dashboards with BI tools, tracking KPIs, conducting ad hoc analyses, documenting findings, and contributing to CI/CD and self-service solution delivery. Collaborates with cross-functional stakeholders to provide actionable insights, improve processes, and support data-driven decisions for internal and customer-facing products.

Owns analytics and optimization strategy for advertising revenue across Zynga’s mobile game portfolio. Responsibilities include monitoring performance, diagnosing trends, designing A/B tests, identifying monetization opportunities, partnering with product, analytics, and data science teams, supporting AI and ML models, leading cross-functional initiatives, and mentoring analysts.

Leads complex private banking data management and analytics initiatives, defining data strategies, quality standards, product attributes, and integrated client views. Partners with business, engineering, analytics, AI, and Wealth teams to translate needs into dashboards, KPIs, predictive models, personalized insights, and intelligent decision-making capabilities. Serves as a subject matter expert on private banking products while mentoring junior team members and enabling platform readiness.

Performs advanced product and business analytics for a consumer mobile app, including experimentation, statistical analysis, metric development, dashboards, and leadership-ready insights. Partners with Product, Engineering, Finance, Data Science, and Analytics teams to guide strategy and feature iteration. Works independently with large datasets, communicates tradeoffs clearly, and uses AI-assisted tools to improve analytical efficiency.

Manage and grow Ashby’s data analytics team while remaining hands-on with analytical work. The role includes hiring and coaching analysts, improving data practices, prioritizing requests, developing specialization, maintaining analytical quality, and guiding responsible AI adoption. The manager will work across raw and modeled data, dbt models, metric definitions, dashboards, and internal data products, partnering closely with business teams in a remote, high-growth B2B SaaS environment.

Lead insurance risk analytics engagements for property and casualty carriers. Responsibilities include product demonstrations, regulatory filing guidance, pilot and proof-of-concept design, loss ratio and model validation analysis, client project management, discovery sessions, and translating insights for actuarial, underwriting, and executive audiences. The role also develops AI-assisted workflows and provides customer feedback to product teams.

Leads data analytics, automation, dashboards, AI solutions, and automated testing for internal audit, SOX compliance, investigations, and special projects. Collaborates with data engineering and architecture teams, applies governance and responsible AI principles, provides cross-functional insights, and trains audit staff on analytical tools. The role manages initiatives, budgets, resources, and deliverables while supporting audit strategy and stakeholder needs. Requires up to 10% overnight travel and hybrid work.

Leads product analytics strategy and measurement for an enterprise AI platform. Defines KPIs, evaluates launches and product impact, integrates behavioral and employee-experience data, shapes roadmap and investment decisions, and owns executive performance narratives. Builds and coaches an analytics team while directing responsible AI-enabled workflows, dashboards, data validation, experimentation, and automated insight generation.

Analyzes healthcare claims, provider reimbursement, QPA, and dispute data to support No Surprises Act negotiations, arbitration, and OON liability management. Builds SQL-based reports, dashboards, data processes, and financial views; validates data quality; tracks dispute KPIs; integrates internal and external sources; and presents actionable recommendations to leadership and cross-functional stakeholders.

Lead analysis of sales performance, pipeline, bookings, consumption, and growth metrics for Salesforce’s Global Partnerships team. Build executive dashboards and visualizations, develop strategic recommendations, curate data tables with Data Engineering and Product, and align Finance, Product, and Operations on metrics and targets. Proactively monitor trends and communicate actionable insights to senior leadership.

Analyzes card fraud threats by gathering and interpreting transaction data, quantifying losses, evaluating fraud rules, monitoring suspicious activity, and recommending control improvements. The role produces reports and presentations, supports automation, data governance, model monitoring, quality audits, and ad hoc business analysis. It partners with fraud, data governance, and model governance teams to improve detection effectiveness and reduce financial losses.

Analyze and transform complex data into targeted audiences and actionable marketing insights. Responsibilities include audience strategy, acquisition opportunity analysis, testing frameworks, advanced SQL querying, ETL monitoring and troubleshooting, data visualization, and stakeholder presentations. The role collaborates cross-functionally to deliver data-driven solutions aligned with client objectives and performance targets.

Analyze and transform complex audience and marketing data into actionable insights. Responsibilities include developing audience strategies, evaluating acquisition opportunities, building testing frameworks, writing advanced SQL, maintaining ETL workflows, conducting analyses, visualizing results, and presenting findings to technical and non-technical stakeholders. The role collaborates cross-functionally to support growth marketing and optimize channel performance.

Teaches online undergraduate and graduate data analytics courses, develops syllabi and lesson plans, prepares course materials, facilitates discussions, evaluates student work, provides feedback, and integrates responsible AI practices. The role requires maintaining course alignment with institutional objectives, supporting diverse learners, participating in faculty training, and applying current analytics methods, tools, and ethical data practices.

Own commercial and growth analytics for GeneDx’s top line, answering questions about volume, revenue, pricing, coverage, field capacity, and product performance. Serve as a senior advisor to commercial and product leaders, structure ambiguous problems, lead analyses end to end using AI agents, communicate executive-ready insights, support evidence-based decisions, monitor outcomes, and surface emerging opportunities. Maintain analytical governance, apply measurement and experimental design, and contribute reusable methods to the analytics function.

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.

Leads analytics, reporting, data modeling, automation, AI-agent development, and quality assurance for revenue cycle operations. Creates Power BI and Excel reports, analyzes complex healthcare and operational datasets, develops scalable warehouse models, and delivers actionable insights to leadership. Uses SQL, cloud data platforms, Git, Python, and AI-assisted tools to improve reporting efficiency, accuracy, and decision support.

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.

Leads end-to-end marketing analytics for small business acquisition campaigns, including opportunity sizing, targeting, experimentation, performance reporting, profitability, and ROI measurement. Partners with Marketing, Finance, Modeling, and Data teams to guide investment decisions and improve measurement rigor. Owns stakeholder delivery, data requirements, analytic frameworks, controls, and auditability while coaching junior analysts and translating complex findings into clear recommendations for senior audiences.

Leads analytics for Pricing and Supply, managing a team of approximately eight analysts. Partners with cross-functional leaders to prioritize analytical work, build dashboards and decision frameworks, improve metric quality, and generate insights into pricing, supplier coverage, marketplace performance, conversion, margin, and customer behavior. Coaches analysts, establishes scalable analytics processes, and collaborates with data engineering teams to improve data models, tooling, and self-service capabilities.

Performs digital measurement analytics for emerging payments platforms, including data collection, validation, reporting, and feature-performance measurement. Partners with marketing, technology, digital, and analytics stakeholders to implement strategic priorities, deliver accurate insights, and support digital data strategy. The role also contributes to analytics roadmaps, project delivery, internal initiatives, and actionable business recommendations using SAS, SQL, Tableau, and Adobe Analytics.