Top Remote Analytics Manager Jobs

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 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.

Lead strategic deposit pricing analytics focused on CDs, elasticity testing, deposit trends, yield-seeking behavior, and macroeconomic impacts. Serve as the subject-matter expert on CD data, translate findings into executive presentations, build automated self-service dashboards, and partner with finance, pricing, marketing, risk, product, and branch teams. Monitor competitor pricing and economic trends to inform retail banking product decisions.

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.

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 marketing performance analytics to optimize digital acquisition funnels, measure channel and customer-level outcomes, build repeatable datasets and automation, define measurement standards, partner with Product and Technology, and quantify impact through test-and-learn approaches and operational improvements.

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.

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.

Manages business reporting, modeling, and quantitative analysis for sales, provider success, vendor operations, and executive leadership. Interprets membership growth, claims, and revenue data; evaluates business processes and strategic initiatives; validates complex data using SAS and Excel; responds to ad hoc analytical requests; presents statistical findings to senior leaders; and reviews other analysts’ work.

Lead global Customer Success analytics strategy, architect data and health/adoption models, oversee data pipelines, deliver executive-level storytelling, mentor an analytics team, and drive cross-functional KPI alignment and self-serve BI adoption.

Client-facing Analytics Manager who architects large-scale digital analytics (GA4/Adobe), audits implementations, builds measurement frameworks, and leads GEO (Generative Engine Optimization) test & learn programs. Uses AI tools (Claude) to automate workflows, mentor teammates, manage projects, and translate data into strategic client recommendations.

Manage web and marketing analytics for agency clients: implement and troubleshoot GA4 and GTM tagging, build Data Studio dashboards, analyze website and campaign performance, run A/B tests, support SEO and measurement strategy, integrate data sources, and contribute analytics expertise to proposals and client reporting.

Lead production cost and nodal market modeling to evaluate basis risk, congestion, curtailment, and long-term value. Support project siting, interconnection review, revenue forecasting, due diligence, and portfolio strategy. Build price forecasts, assess market and transmission changes, coordinate with internal teams and stakeholders, and represent the company in industry forums.

The Manager, People Technology & Analytics role involves overseeing HR technology systems, data governance, analytics, and improving operational efficiency through automation and AI solutions.

Manages financial analytics and product delivery for pharmacy benefit clients, including RFPs, procurement projects, renewals, market checks, PBM contract reviews, financial modeling, reporting, and presentations. Analyzes pharmacy spend, utilization, trends, and cost drivers using proprietary tools and Excel. Leads peer reviews, manages project timelines, improves processes, and mentors and trains financial analysts and new employees.

Lead development, validation, deployment, and quality control of advanced analytics and ML solutions for fraud detection, waste and abuse, investigative analysis, and program integrity. Provide technical leadership, translate stakeholder requirements, mentor team members, and ensure models are explainable, defensible, and production-ready.

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 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 a small analytics team (staff data scientist + two analysts) to deliver curriculum, product, and program insights. Split time between people management (60-70%) and hands-on analysis (30-40%), advance experimentation and measurement, build AI/LLM-driven agentic workflows, manage sprints and cross-functional stakeholder relationships, and drive analytics that inform curriculum, product, and intervention strategies.

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

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.

Own and build merchant and advertiser data marts powering retail media and reporting. Design standards, implement Hive→Iceberg migrations, develop dbt models and Airflow DAGs, build cataloging and PII/audit tooling, enforce Trino+CloudSentry access policies, operate production marts with on-call duties, and coordinate cross-functionally with Sales, BizOps, and Analytics.

Senior individual-contributor owning cost and AI-enablement for a petabyte-scale analytics platform. Build and operate data warehouse, ingestion pipeline, and Airflow; deliver cost-attribution, forecast-driven autoscaling, and production Gen AI (NLP-to-SQL/RAG) systems. Hands-on coding (~70%) plus technical coordination and on-call production support.

Translate web and marketing behavior data into actionable insights: measure website and marketing performance, analyze funnels and journeys, design and evaluate A/B tests, build reports and dashboards, monitor analytics integrity, and partner with cross-functional teams to define measurement and optimization opportunities.

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.