Top Remote Analytics Manager Jobs

Own enterprise analytics audits, implementations, data quality, attribution, segmentation, SQL analysis, BI dashboards, experimentation measurement, and client reporting. Serve as the senior analytics partner for major accounts, present insights to executives, train client and internal teams, and help define analytics and experimentation services. The role requires hands-on Adobe expertise, autonomous prioritization, technical collaboration, and the ability to connect organic and AI search performance to pipeline and revenue.

Lead product-led sales for Clarivate's research and analytics portfolio to US academic institutions. Drive pipeline, grow deal size, cross-sell, support selective new logo acquisition, collaborate with Account Managers, craft value-based solutions, forecast and report on pipeline, and maintain senior customer relationships to achieve sales targets.

Own a portfolio of Guidewire Analytics clients through onboarding, adoption, value realization, renewals, and expansion. Translate client business challenges into analytics use cases, guide stakeholder engagement, identify retention and growth opportunities, and coordinate internal teams to resolve issues and advance client objectives. The role requires strong client-facing commercial experience, analytical and technical curiosity, consultative problem-solving, and the ability to discuss APIs, datasets, models, and dashboards.

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.

Leads data and analytics transformation strategy for major client programs, defining roadmaps, use cases, architecture direction, and operating models. Advises senior stakeholders, facilitates strategy workshops, aligns programs to KPIs and value frameworks, supports governance and risk management, contributes to proposals and pre-sales, and mentors consulting and analytics teams.

Owns global logistics performance reporting, KPI dashboards, TMS master data governance, annual budgeting, freight accruals, and variance analysis. Partners with logistics, finance, procurement, data, and technology teams to improve data products, automate reporting, maintain data quality, and support digital transformation. Presents performance and financial insights to senior leadership, drives cross-functional alignment, and serves as the logistics end-user representative for analytics requirements.

Leads data analysis, reporting, performance evaluation, and dashboard development for federal transition assistance programs. Manages data integration, modeling, quantitative and qualitative analysis, program evaluations, executive reporting, and performance measurement. Translates complex data into actionable recommendations supporting operational effectiveness, strategic planning, modernization, and continuous improvement. Collaborates with government leaders, program managers, technical teams, and stakeholders. The role is remote with occasional travel for in-person meetings.

Leads multistate payroll, payroll tax, benefits, 401(k) administration, leave programs, people analytics, and HR systems for a distributed workforce. Partners with Finance, vendors, brokers, and senior leaders to ensure compliance, accurate workforce data, effective benefits communication, strong controls, and scalable People operations. Owns payroll provider administration, audits, reporting, workforce modeling, process improvements, and cross-functional initiatives.

Leads and develops product, marketing, and data analysts while overseeing analytics strategy, prioritization, technical standards, experimentation, reporting, and data quality. Partners with Product, Marketing, Finance, Engineering, and recruiting to deliver trusted insights, scalable self-service analytics, and team growth. Requires strong SQL and Python skills, modern data-tool experience, analytics leadership, stakeholder communication, and at least five years in data roles with two years managing teams.

Leads the Business Intelligence and Revenue Analytics function, balancing team management with hands-on analysis. Develops dashboards, KPI frameworks, forecasts, and reporting for Sales, Marketing, Revenue Operations, and executives. Partners with Data Engineering on data models, pipelines, governance, and quality. Translates business needs into analytical solutions, delivers actionable insights, manages the analytics roadmap, prioritizes initiatives, and coaches a small team.

Leads the enterprise analytics organization, managing Analytics Engineers, Data Analysts, and BI Developers. Defines analytics strategy, delivers executive dashboards and operational reporting, establishes KPI and governance standards, builds semantic models and curated datasets, and drives self-service BI adoption. Partners with Engineering, Product, Finance, Operations, Customer Success, and executives to translate business needs into trusted analytical solutions while developing talent and prioritizing analytics initiatives.

Leads the enterprise analytics organization, managing Analytics Engineers, Data Analysts, and BI Developers. Defines analytics strategy; delivers executive dashboards, KPI scorecards, operational reporting, semantic models, and self-service BI. Establishes data governance and metric standards, ensures data quality, partners with Engineering, Product, Finance, Operations, and executives, and translates business questions into actionable analytical solutions. Mentors analytics talent and drives prioritization, adoption, and measurable business outcomes.

Lead FP&A engagements for private equity-backed middle-market companies by developing forecasting models, financial and operational reporting, profitability analysis, and process improvements. Manage project resources, communicate with C-suite and PE stakeholders, implement performance management capabilities, and support deployment of actionable plans. Emphasizes data analytics, Excel modeling, and client-facing advisory responsibilities with travel as needed.

Manages the enterprise Data Governance and Analytics Center of Excellence, leading staff, governance initiatives, analytics strategy, maturity modeling, budgets, vendors, and planning. Coordinates data quality, stewardship, privacy, acquisition, and release programs while partnering with data scientists, engineers, technology governance teams, and business stakeholders. Develops executive presentations, aligns enterprise definitions and algorithms, establishes standards, and ensures analytics projects and business cases meet organizational objectives and deadlines.

Lead analytics for Community Marketing programs: define measurement frameworks, build Power BI dashboards, run analyses across referrals/events/COI, deliver executive insights, forecast leads/opportunities, and partner cross-functionally to optimize program performance and reporting.

Leads payroll and payroll tax, benefits and retirement programs, leave administration, people analytics, and HR systems for a multistate workforce. Partners with Finance, vendors, and senior leaders to ensure compliance, accurate reporting, workforce insights, strong controls, and scalable People processes. Oversees 401(k) audits, benefits communications, payroll-provider management, system integrations, data governance, and cross-functional operational improvements.

Leads payroll, payroll tax, benefits, retirement plans, leave administration, people analytics, and HR systems for a multistate workforce. Owns Rippling administration, compliance, vendor relationships, audits, reconciliations, workforce reporting, and data governance. Partners with People and Finance leaders on labor costs, forecasting, benefits strategy, and workforce insights while improving processes, controls, system integrations, and employee communications.

Leads data and analytics consulting teams delivering enterprise data architecture, pipelines, analytical environments, data models, visualizations, and integrations. Responsibilities include hands-on SQL and Python development, project lifecycle leadership, stakeholder workshops, executive communication, risk mitigation, client support, mentorship, recruitment, and practice growth.

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.

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.

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.

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.

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