Top Remote Analytics Manager Jobs

Lead product vision, roadmap, and delivery for Product and Services Analytics. Drive requirements, prioritize backlog, partner with engineering on technical solutions, define KPIs, engage executives and stakeholders, mentor junior product staff, and guide go-to-market and documentation for analytics features in a cybersecurity context.

As an Analytics Manager in Growth, you'll lead reporting and insights on customer activation, conduct analyses to optimize customer experiences, collaborate with teams for key metrics, and manage growth initiatives.

Lead independent validation and governance of credit and fraud models, build automated Python monitoring for model drift and performance, drive remediation with model developers, and liaise with audit and regulators to support Affirm Bank's model risk management.

Lead Finance Data & Analytics to build trusted data sources, governance, and analytics for Finance and cross-functional stakeholders. Manage analysts, drive data strategy and Snowflake data models, produce insights via SQL and Tableau, and deploy AI solutions to optimize finance decision-making and operations.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Lead analytics for branch network optimization, new branch and ATM strategy by integrating internal and external data, producing actionable insights, presenting to senior leaders, and partnering cross-functionally to champion analytics best practices.

Lead design, development, and maintenance of enterprise HR reports and dashboards in Workday and BI tools. Translate workforce data into executive-ready insights, enforce data governance and quality, manage reporting security, enable self-service analytics, and drive AI-informed reporting strategy and platform implementations across a global workforce.

Partner with business leaders to execute the analytics agenda, develop custom models and algorithms to uncover trends, identify and manage external partners, and deploy analytical approaches across a complex, matrixed organization to drive long-term business impact.

Lead CX analytics strategy and operations by standardizing metrics, enabling self-service analytics, and embedding AI in the analytics lifecycle to enhance decision-making processes.

Lead and mentor a client-facing analyst team to design, implement, and scale prior-authorization decision automation for PaaS clients. Consult on strategic roadmaps, translate client requirements into technical blueprints, collaborate with product and engineering, optimize processes and analytics frameworks, build visualization reports from authorization and claims data, and ensure client KPIs and end-to-end automation success across the customer lifecycle.

Lead roadmap and execution for CX analytics data models, pipelines, dashboards, and regulatory reporting. Prioritize cross-functional requests, drive delivery across engineering and compliance, automate program processes, implement data quality/testing standards, and leverage AI tooling to scale impact.

Lead workforce management operations and analytics for multi-brand contact center portfolio. Manage WFM and real-time teams, forecasting, capacity planning, scheduling, intraday operations, and WFM technology optimization (Genesys, Intradiem). Drive process standardization, continuous improvement, reporting, and stakeholder partnerships to meet service levels and business objectives.

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 grow a team of analytics engineers while remaining hands-on with SQL, dbt, and Snowflake. Own roadmap and semantic layer development, build trusted, governed data products, partner with cross-functional stakeholders, champion data quality and observability, and hire and coach engineering talent to deliver scalable analytics and AI-ready foundations.

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.

The Senior Manager, Marketing Analytics will lead AI-driven marketing analytics, develop performance metrics, and collaborate across teams to enhance data-driven decision-making.

The Senior Manager, Data Science & Analytics will lead the analytics strategy for client engagement, focusing on data-driven insights and marketing performance to assist in customer acquisition efforts.

Lead development and governance of the supply chain data warehouse and analytics platforms. Build SQL-driven models, dashboards, and KPIs to drive inventory optimization, cost reduction, supplier performance, and working capital improvements. Support ERP integrations and data migrations, perform deep data discovery and predictive analytics, and present actionable insights to senior leaders to enable strategic decision-making.

Lead development, tuning, and maintenance of AML/financial-crime detection and sanctions models. Perform deep SQL-driven analyses, build TM rules and screening logic, create analytics and metrics, reduce false positives, identify emerging typologies, and partner with Compliance, Product, Engineering, and Model Risk for validation and monitoring.

Manage underwriting analytics, collaborate with cross-functional teams, drive operational improvements, and enhance training for underwriters.

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 performance reporting and insights for the Padcev oncology franchise using secondary commercial data (IQVIA, Symphony, HUB/SP). Analyze patient segments, subnational performance, and treatment patterns to inform brand strategy, forecasting, and dashboards. Partner with cross-functional stakeholders, oversee vendors, validate analytics, and adopt AI/tools to automate reporting and accelerate insight generation.

Lead supply-and-demand forecasting for the psychiatry service line: build and maintain S&D models, integrate models into core data infrastructure, define operational metrics (capacity, clinician utilization, hiring targets), run forecast vs. actual audits, and partner cross-functionally to guide hiring, resource allocation, and operational improvements.

Lead workforce planning, labor forecasting, operational readiness, and analytics for pre-opening and ongoing resort operations. Develop dashboards, KPI reporting, labor models, and decision-support tools; manage project timelines, coordinate cross-functional stakeholders, drive continuous improvement (Lean/Six Sigma), and present insights to senior leadership while mentoring analysts.

Lead and scale a casino analytics team to drive data-informed strategy, experimentation, and reporting. Partner with product, data science, and operations to deliver executive insights, build analytical frameworks, and develop high-performing analysts to unlock growth and operational efficiency.