Top Remote Analytics Manager Jobs

Own the analytical function for a business unit across growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, experiments, and analyses; generate actionable insights; communicate recommendations to leadership; and drive execution through measurable outcomes. The role requires independent problem-solving, strong analytical skills, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Own the analytical function for a core business area such as growth, product, AI, or partnerships. Define business questions, metrics, reports, analyses, and experiments; surface insights; make recommendations; and drive decisions and execution with cross-functional leaders. The role requires independent data work, first-principles problem solving, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Own the analytical function for a business unit across growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, experiments, and analyses; surface insights; make recommendations; and drive decisions and outcomes with cross-functional leaders. The role requires strong analytical problem-solving, independent data interpretation, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Own the analytical function for a business unit spanning growth, product, AI and automation, or strategic partnerships. Define business problems, metrics, reports, analyses, and experiments; generate insights; and drive recommendations through execution. The role requires strong first-principles thinking, independent data work, persuasive communication, stakeholder influence, and ownership of ambiguous, high-impact initiatives.

Own the analytical function for a core business area such as growth, product, AI, or strategic partnerships. Define business questions, metrics, reports, analyses, and experiments; surface insights; make recommendations; and drive decisions and execution with cross-functional leadership teams. The role requires independent data work, first-principles problem solving, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Own the analytical function for a core business area such as growth, product, AI and automation, or strategic partnerships. Define business questions, metrics, reports, experiments, and analyses; surface insights; make recommendations; and drive decisions and execution with cross-functional stakeholders. The role requires independent data work, first-principles problem solving, persuasive communication, and ownership of ambiguous, high-impact initiatives.

Leads data engineering, business intelligence, and analytics teams; oversees data pipelines, integration infrastructure, database architecture, CI/CD practices, and enterprise data platform strategy. Partners with business and technology stakeholders to define requirements, improve data capabilities, maintain Ubuntu-based services, and deliver reporting and KPIs to leadership. Responsible for team hiring, development, mentoring, operational health, and technical execution across analytics and data integration platforms.

Own Vehlo’s customer-facing data, analytics, and insights portfolio, including unified cross-product analytics, AI-powered insights, APIs, semantic layers, benchmarking, pricing, packaging, and data governance. Lead product strategy and execution through engineering, analytics, customer success, finance, and go-to-market partners. Establish metric definitions, cost-to-serve models, customer trust measures, and premium product tiers while delivering zero-to-one products for customers ranging from small operators to sophisticated enterprises.

Leads an analytics engineering team supporting Core Data Science by building reliable data foundations, tooling, analysis pipelines, and self-service datasets. Establishes instrumentation, experimentation, documentation, data quality, and democratization practices. Partners with data scientists, engineers, product managers, designers, and researchers to turn insights into product impact. Requires expertise in large-scale data manipulation, SQL, Python or R, ETL/ELT, workflow orchestration, and AI-assisted analysis, along with engineering management experience.

Leads logistics analytics and optimization across distribution and contact center networks. Develops analytical models, machine learning algorithms, automated processes, forecasting solutions, and scalable optimization tools. Partners with operations, engineering, and technology teams to improve productivity, capacity, service, cost, and decision-making. Deploys and monitors machine learning models in production, measures business impact, and recommends continuous improvements.

Leads AI innovation and adoption across a healthcare advisory practice. Develops and deploys predictive models, generative AI, machine learning, and analytics solutions for value-based care and payment challenges. Oversees data readiness, governance, responsible AI reviews, model monitoring, stakeholder adoption, and client delivery. Translates complex analytics into executive-ready insights, dashboards, and presentations while building reusable assets, training teams, and driving enterprise AI strategy.

Lead and optimize new-customer onboarding to accelerate time-to-value. Instrument product flows, define and track activation metrics, run experiments, and translate behavioral insights into a prioritized roadmap. Collaborate with customer success, sales, support, data, and engineering to ship, measure, and iterate on features end-to-end.

Serves as a strategic analytics partner to Marketing, owning funnel, attribution, ROI, account scoring, experimentation, and pipeline analytics. Builds scalable datasets, dashboards, and quality controls while connecting customer, campaign, product usage, CRM, and revenue data. Delivers executive-ready reporting, QBR insights, and recommendations that improve conversion, marketing investment effectiveness, account-based marketing, product adoption, and pipeline growth.

Owns the health of a multi-client digital tracking ecosystem across 100+ properties. Responsibilities include managing Piwik PRO and Google Tag Manager configurations, deploying pixels and telemetry updates, monitoring and debugging conversion events, validating implementations with browser tools and APIs, supporting technical client onboarding, managing consent and UTM governance, documenting configurations, and coordinating technical escalations. The role also explains tracking behavior to nontechnical teams and improves automation and monitoring processes.

Leads large-scale quality systems and analytics programs across a complex, regulated healthcare organization. Responsibilities include program design and delivery, governance, portfolio and project management, process improvement, change management, budgeting, performance reporting, stakeholder engagement, documentation, business requirements, testing, training, and cross-functional collaboration with legal, compliance, and IT teams.

Lead a GTM Analytics team supporting Marketing, Sales, RevOps, and Customer Operations. Manage embedded analysts, establish trusted reporting and QA processes, review SQL and dashboards, guide funnel, campaign, sales, support, forecasting, segmentation, attribution, and experimentation analysis, and deliver executive recommendations. Partner with GTM leaders and data engineers, coach analysts, and develop self-service analytics, automation, governed dashboards, metric documentation, and AI-assisted workflows.

Leads a team of five experienced analysts and data scientists while personally owning strategic analytics across ecommerce, health, supply chain, inventory, fulfillment, and merchandising. Partners with executives, establishes KPI and reporting standards, prioritizes the analytics roadmap, and delivers actionable business insights. The role also advances AI-native, self-service analytics capabilities, strengthens data governance and quality, and builds a high-performing analytics culture.

Manages an HR Analytics team conducting advanced analysis and modeling of HR, payroll, financial, and business data. Leads dashboard and reporting development, translates business questions into analytical solutions, provides strategic recommendations, manages analytical projects, and supports change management. Develops team capabilities through hiring, coaching, mentoring, and performance management while partnering with HR stakeholders to improve decision-making and business outcomes.

Own end-to-end analytics delivery for a client POD, translating business priorities into workplans, coordinating cross-functional teams, governing delivery and revenue KPIs, and managing risks through resolution. Perform hands-on data profiling, validation, reconciliation, exploratory analysis, automation, and quality reviews using SQL, Python, Databricks, and Excel. Create executive-ready KPI, revenue, and business-impact narratives, prioritize initiatives, support business cases, and identify opportunities for analytics automation and AI-enabled improvements.

Leads Workday HRIS administration, system enhancements, integrations, reporting, dashboards, data governance, and workforce analytics. Partners with HR, IT, Finance, Payroll, Benefits, Talent Acquisition, and business leaders to improve HR technology, data quality, employee experience, and decision-making. Manages complex implementations and process improvement initiatives while promoting self-service analytics and continuous optimization.

Leads Workday HRIS administration, system enhancements, integrations, reporting, dashboards, data governance, and workforce analytics. Partners with HR, IT, Finance, Payroll, Benefits, and Talent Acquisition stakeholders to improve HR technology, data quality, employee experience, and decision-making. Manages complex HR technology implementations and process improvements while promoting self-service reporting and continuous optimization.

Leads enterprise architecture for data, analytics, and AI/ML platforms. Defines cloud, Lakehouse, streaming, governance, integration, and machine-learning architecture standards; guides modernization, proof of concepts, platform scalability, security, and cost optimization. Partners with executives, product owners, cybersecurity, governance, and engineering teams while leading design reviews, architecture forums, and technical programs. Requires deep experience with Databricks, cloud-native data platforms, distributed systems, data governance, and enterprise-scale architecture.

Leads and develops a data engineering team supporting People Analytics and AI-assisted workforce analytics. Designs scalable data models, pipelines, semantic layers, testing frameworks, and governance practices. Remains hands-on with production code, reviews, and technical problem-solving while partnering with People Analytics, business, legal, and compliance stakeholders. Establishes engineering standards across Python, SQL, dbt, Airflow, Snowflake, CI/CD, data quality, observability, privacy, and security.

Manage human capital analytics and workforce metrics, including hiring-process analysis, time-in-stage, time-to-hire, yield rates, benchmarking, trend analysis, and performance measurement. Develop dashboards, visualizations, executive briefings, analytical presentations, and reports using business intelligence tools. Communicate complex findings and actionable recommendations to senior leadership while supporting federal or large organizational clients.

Leads pharmacy benefit management underwriting and analytics, including pricing, risk assessment, underwriting guidelines, complex proposal decisions, profitability initiatives, market analysis, and financial modeling. Manages underwriting analysts, collaborates with finance, operations, and clinical teams, develops external relationships, communicates recommendations to leadership, and uses SQL, Excel, and BI tools to improve analytical capabilities.