Analytics and Decision Support Manager

Job not on LinkedIn

🔥 2 minutes ago

🌐 Costa Rica, El Salvador, +4 more countries – Remote

🇨🇷 Costa Rica – Remote 🇸🇻 El Salvador – Remote 🇧🇷 Brazil – Remote 🇦🇷 Argentina – Remote 🇬🇹 Guatemala – Remote 🇳🇮 Nicaragua – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

👔 Manager

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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World Business Lenders, LLC

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

🤝 B2B

💳 Fintech

Finance • B2B • Fintech

World Business Lenders, LLC is a direct lender that specializes in providing real-estate secured business loans to small-to-medium-sized businesses. The company focuses on serving under-served businesses that lack access to traditional funding, facilitating access to capital for business expansion and growth. With a strong management team experienced in financial services, World Business Lenders offers working capital solutions to foster the development of successful small businesses.

📋 Description

• 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

• 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

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