Analytics and Decision Support Manager

This is a fully remote position, open to applicants in Costa Rica, +5 more countries.

📋 Description

• Oversee, mentor, and cultivate the skills of two Team Leads and four Analysts.

• Define clear roles, quality benchmarks, feedback mechanisms, and accountability measures.

• Assess demand based on business significance, urgency, data readiness, and resource availability.

• Take ownership of the enterprise analytical agenda and resource planning.

• Recruit, evaluate performance, nurture Team Leads, and ensure succession planning.

• Maintain active participation in priority project delivery.

• Convert business inquiries into statistical analyses, predictive models, experiments, dashboards, forecasts, scenario models, and actionable recommendations.

• Guarantee that deliverables are timely, comprehensible, actionable, and thoroughly articulate assumptions, limitations, and significant changes.

• Provide model assessments and reproducible performance evidence for BLV and other intelligence products.

• Counsel senior leaders on findings, uncertainties, and trade-offs.

• Challenge existing business assumptions and analytical methodologies.

• Develop reusable models and decision-making tools.

• Create consistent metric definitions, technical evaluations, documentation, and review practices.

• Collaborate with data engineering and business teams to enhance data quality, automate routine tasks, increase self-service options, and eliminate redundant reporting.

• Offer technical evidence for independent validation and business endorsement.

• Enhance the analytics operational model and monitor the adoption of improvements.

• Personally carry out significant analyses, develop or critique models, examine data, define metrics, and draft decision recommendations.

⛳️ Requirements

• Relevant education or professional training in statistics, mathematics, economics, finance, engineering, computer science, analytics, or a related quantitative field is preferred; a degree is not a requirement.

• At least twelve years of progressive experience in data science, analytics, business intelligence, quantitative decision support, or a closely related field.

• A minimum of five years of leadership experience with a significant background in guiding Team Leads, managers, or senior analytical personnel.

• Proven experience in building, scaling, or significantly enhancing an analytics or data science function.

• Experience in delivering analytical capabilities that influence business decisions or are part of production products.

• Capability to coach Team Leads, develop analysts and data scientists, manage recurring and ad hoc demands, and prioritize alongside senior business leaders.

• Recent hands-on experience in analytical delivery; this is not solely a management role.

• Experience managing a portfolio that includes data science, executive/management reporting, enterprise KPIs, self-service analytics, forecasting, scenario modeling, and rapid ad hoc decision support.

• Expertise in developing and assessing predictive models using train/test designs, backtesting, performance metrics, stability or drift analysis, as well as documentation and communication of limitations and intended usage.

• Experience in establishing enterprise metrics and reconciling conflicting definitions across various functions.

• Experience in creating analytical tools and decision frameworks that support operational, credit, pricing, portfolio, capital, or strategic decisions.

• Experience assisting senior leaders in a dynamic business environment and prioritizing analytical demands based on decision value, urgency, data readiness, and resource capacity.

• Strong hands-on proficiency in SQL and Python or equivalent analytical tools, along with business intelligence and visualization platforms.

• Extensive knowledge of statistical analysis, predictive modeling, model evaluation and backtesting, experimentation, forecasting, scenario analysis, feature development, data visualization, and reproducible analytical workflows.

• Ability to articulate ambiguous business questions, identify the decision analysis support needed, select an appropriate approach, and convey findings, uncertainties, limitations, and trade-offs.

• Ability to provide succinct recommendations to senior executives and collaborate with operational users and technical teams.

🏝️ Benefits

• Compensation in USD.

• Paid time off (PTO).

• Fully remote work environment.