Top Remote Analytics Manager Jobs

Own customer-facing analytics and reporting for a voice AI healthcare product. Lead customer data implementations, troubleshoot ingestion and mapping issues, prepare internal teams for campaign execution, develop dashboards, define performance metrics, and standardize reporting. Coordinate data and QA engineers through agile delivery while scaling onboarding workflows, improving implementation velocity, and expanding analytics capabilities for payer and provider customers.

Manage pricing infrastructure and strategy, maintain price books, evaluate EBITDA impact, and lead commercial integration for acquisitions and Greenfield operations. Deliver P&L variance, price mix, financial risk, and productivity analyses supporting margin improvement and Capex decisions. Partner with Operations, IT, and the AI Steering Committee on commercial systems, responsible AI governance, and AI-enabled workflow improvements. Regular travel to branches and regional operations, including overnight stays, is required.

Lead BI developer who owns reporting infrastructure end-to-end: SQL-based data extraction from messy sources, LookML/BI model development, dashboard standardization, stakeholder partnership, and performance marketing optimization to drive actionable insights and business outcomes.

Own the vision, roadmap, and delivery of AI and analytics capabilities for an enterprise EHSQ SaaS platform. Lead customer and market discovery, prioritize backlogs, define product metrics, and partner with engineering, data science, architecture, design, sales, marketing, and services teams. Drive AI feature launches, adoption measurement, governance, enablement, pricing, and executive communications while ensuring trustworthy, explainable, and compliant product experiences.

Leads a team delivering Customer Success reporting, dashboards, KPI frameworks, and operational analytics. Oversees reporting accuracy, data integrity, recurring metrics, workflow improvements, and automation. Partners with Customer Success and services leadership to translate business needs into analytical requirements, prioritize initiatives, standardize reporting methodologies, and communicate performance insights. Coaches analysts, manages workload and development, and supports data-driven operational decision-making and scaling.

Leads internal data analysis projects, identifies business opportunities and risks, delivers strategic insights to leadership, manages junior analysts, develops dashboards, and improves data quality across company platforms. The role requires translating quantitative findings for nontechnical audiences and applying healthcare or pharmaceutical dataset experience to strategic decision-making.

Lead financial modelling and analytics for pricing, monetization, and strategic finance. Build scenario and profitability models, apply AI/ML (LLMs, predictive models) to accelerate modelling and reporting, deliver executive-ready profitability reporting, and partner with FP&A, Sales Ops, and GTM leaders to support strategic decisions.

Lead and develop Analytics Engineers responsible for shared data foundations, platform capabilities, semantic models, developer tooling, and AI-enabled workflows. Define the team vision, operating model, roadmap, standards, and success measures. Partner cross-functionally to prioritize initiatives, improve adoption, guide architecture, and deliver scalable data assets and automation. Drive responsible AI-assisted development, data reliability, testing, documentation, observability, and cost management while contributing hands-on when needed.

Lead commercial analytics to measure ROI, uncover growth opportunities, and deliver actionable insights. Build dashboards, perform SQL-based analyses, improve data quality, support forecasting, and implement automation/AI to streamline workflows. Partner cross-functionally with Sales, Marketing, Finance and Strategy to influence revenue and retention decisions.

Leads and scales a global data engineering and analytics team while remaining hands-on with architecture, pipelines, data quality, dimensional modeling, dashboards, reporting, and customer-facing deliverables. Owns the analytical data platform supporting clinical, operational, product, financial, and customer data. Partners with cross-functional stakeholders, investigates complex data issues, improves platform reliability and security, and mentors engineers.

Own the vision, roadmap, data access layer, reporting templates, and query capabilities for Skylar Analytics. Partner with data engineering, data science, and adjacent product teams on data modeling, pipelines, anomaly detection, predictive alerting, and agentic AI integration. Lead go-to-market strategy, positioning, packaging, and customer value messaging for the analytics product.

Lead production and delivery of revenue operations reporting for Sales, Marketing, Customer Success, and Partners. Build forecasts, pipeline inspection, productivity and quota reporting, churn and renewal tracking, and partner performance views. Manage a small analytics team, improve data quality and automation, and support CRO operating rhythms and executive reporting.

Lead strategic analytics for marketing by building and deploying BI, predictive models, and reporting to influence senior leadership. Translate complex analyses into actionable recommendations, partner cross-functionally, identify market inefficiencies, advise on data acquisition, and support project delivery and stakeholder engagement.

Manage performance, reliability, and accountability for high-volume messaging programs. Build dashboards and alerting, run ad hoc analyses, coordinate incident response and vendor testing, conduct post-incident reviews, and maintain documentation and compliance tracking to inform program decisions and improvements.

Lead a small data engineering team partnering with Engagement Marketing to build scalable ETL/ELT pipelines, ensure data quality, define marketing metrics, integrate trusted data with ad platforms, and drive the data roadmap to enable measurement and growth.

Lead people analytics strategy and execution: build HR data governance, remediate UKG Pro data quality, deliver enterprise people scorecards and dashboards, advance analytics from descriptive to predictive, and partner with HR, Technology, and Finance to drive data-driven workforce decisions.

The Senior Product Manager for Analytics will lead product strategy, manage development roadmaps, define KPIs, support sales, and generate market insights.

The Senior Analytics Engineering Manager will oversee analytics engineering vision, manage a team, ensure data quality, and drive data-driven decisions across departments.

The Product Manager will lead growth initiatives, run experiments, build dashboards, investigate metrics shifts, and maintain product documentation, aiming to enhance user engagement and retention.

Lead people-analytics strategy for Talent Acquisition and Talent Development. Drive end-to-end analysis of complex workforce problems, deliver evidence-based recommendations to senior leaders, ensure data governance and quality, coach junior analysts, build metrics frameworks, and conduct benchmarking and external research to inform workforce strategy.

Lead product for Data Developer and Analytics Experiences, defining strategy, roadmaps, and delivery for SQL/Python authoring, semantic layer, developer tooling, visualization, governance, and GenAI integrations to improve productivity and reuse across Netflix analytics.

Leads enterprise workforce planning within People Operations, building headcount, capacity, demand forecasting, and scenario models. Partners with FP&A, HR, Talent Acquisition, and business leaders on workforce costs, budgeting, governance, and recruitment strategy. Develops scalable data infrastructure, dashboards, reporting, and planning processes while translating complex workforce analytics into executive recommendations and influencing stakeholders without direct authority.

Manages reporting and analytics operations, teams, workflows, critical business intelligence reports, and performance metrics. Leads data process improvements, requirements analysis, systems development, testing, reporting projects, and process re-engineering. Uses SQL, data warehouses, QlikView, Tableau, and related tools to support operational, financial, quality, compliance, and strategic decisions. Mentors staff, manages priorities, monitors risks, and partners with business leaders and clients.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

Manage complex consulting projects for Veeva customers in analytics, focusing on project delivery, client relationships, and business development.