Analytics and Decision Support Manager

World Business Lenders, LLC

. Manage, coach, and develop two Team Leads and four Analysts .

Posted 10/7/2026full-timeRemote • Costa Rica, El Salvador, Brazil, Argentina, Guatemala, NicaraguaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in data science and analytics, with a strong focus on predictive modeling, statistical analysis, and decision support. Proven ability to lead teams, manage analytical demand, and deliver actionable insights to senior leadership.

Highest-signal resume keywords

Data Science LeadershipPredictive ModelingStatistical AnalysisSQL and Python ProficiencyAnalytical Tool Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingStatistical AnalysisData VisualizationScenario AnalysisFeature DevelopmentModel EvaluationBacktestingForecastingDecision FrameworksAnalytical Workflows

Soft Skills

CoachingCommunicationPrioritizationCollaborationProblem-Solving

Tools & Technologies

SQLPythonBusiness-Intelligence PlatformsVisualization ToolsData Engineering Tools

Industry Keywords

AnalyticsBusiness IntelligenceQuantitative Decision SupportEnterprise KPIsSelf-Service Analytics

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Manage, coach, and develop two Team Leads and four Analysts
Set clear roles, quality standards, feedback, and accountability
Prioritize demand based on business impact, urgency, data readiness, and capacity
Own the enterprise analytical agenda and resource plan
Hire, assess performance, develop Team Leads, and build succession coverage
Maintain hands-on involvement in priority delivery
Translate business questions into statistical analyses, predictive models, experiments, dashboards, forecasts, scenario models, and recommendations
Ensure deliverables are timely, understandable, actionable, and clearly explain assumptions, limitations, and material changes
Supply model evaluation and reproducible performance evidence for BLV and other intelligence products
Advise senior leaders on findings, uncertainty, and trade-offs
Challenge business assumptions and analytical methods
Build reusable models and decision tools
Establish consistent metric definitions, technical evaluation, documentation, and review practices
Partner with data engineering and business teams to improve data quality, automate recurring work, expand self-service, and retire redundant reporting
Provide technical evidence for independent validation and business approval
Improve the analytics operating model and track adoption of improvements
Personally conduct important analyses, develop or review models, interrogate data, define metrics, and write decision recommendations

Requirements

What you’ll need

Relevant education or professional training in statistics, mathematics, economics, finance, engineering, computer science, analytics, or a related quantitative discipline is valued; a degree is not mandatory
Twelve or more years of progressive experience in data science, analytics, business intelligence, quantitative decision support, or closely related work
At least five years of people leadership and meaningful experience leading Team Leads, managers, or senior analytical staff
Experience building, scaling, or materially improving an analytics or data science function
Experience delivering analytical capabilities used in business decisions or production products
Ability to coach Team Leads, develop analysts and data scientists, manage recurring and ad hoc demand, and prioritize with senior business leaders
Recent hands-on analytical delivery; not a management-only role
Experience owning a portfolio combining data science, executive/management reporting, enterprise KPIs, self-service analytics, forecasting, scenario modeling, and rapid ad hoc decision support
Experience developing and evaluating predictive models using train/test design, backtesting, performance metrics, stability or drift analysis, documentation, and communication of limitations and intended use
Experience defining enterprise metrics and reconciling competing definitions across functions
Experience building analytical tools and decision frameworks supporting operating, credit, pricing, portfolio, capital, or strategic decisions
Experience supporting senior leaders in a fast-moving business and triaging analytical demand based on decision value, urgency, data readiness, and capacity
Strong hands-on capability with SQL and Python or equivalent analytical tools, plus business-intelligence and visualization platforms
Deep knowledge of statistical analysis, predictive modeling, model evaluation and backtesting, experimentation, forecasting, scenario analysis, feature development, data visualization, and reproducible analytical workflows
Ability to frame ambiguous business questions, identify the decision analysis must support, select an appropriate approach, and communicate findings, uncertainty, limitations, and trade-offs
Ability to provide concise recommendations to senior executives and work with operational users and technical teams

Benefits

Comp & perks

Compensation in USD
Paid time off (PTO)
Fully remote work environment