Talent Mappers

We are seeking an experienced Data Science & Analytics Manager to manage a team of data analysts and drive the development of enterprise-grade data solutions across the organization. This role owns the full analytics lifecycle — from descriptive to prescriptive analytics — delivering dashboards, recurring reports, and ad-hoc analysis that enable data-driven decision-making and measurable business impact for key stakeholders.

This position requires 5 days in office in Brickell.

Key Responsibilities

• Data Science and Analytics team leadership. Manage data analysts delivering dashboards, recurring reports, and ad-hoc analysis. Establish consistent standards for data science and analytics development and documentation.
• Data solutions. Develop and maintain data solutions, such as descriptive, diagnostic, predictive, and prescriptive analytics focused on enabling decision making, optimization, and measurable business impact for key functional and business stakeholders. Develop and maintain dashboards, recurring reports, and analytical outputs.
• Data quality assurance. Implement data validations to ensure integrity of data solutions. Ensure that data processes and outputs are robust, insightful, and timely.
• Ad-hoc analytics and insights. Promptly address ad-hoc analysis requests with clear, well-structured outputs rooted in accurate data and focused on delivering actionable insights.
• Documentation. Maintain clear documentation of data sources, logic, data transformations, lineage, and outputs.
• Cross-functional data science and analytics support. Translate stakeholder needs into clear data specifications to meet business requirements. Act as a senior subject matter expert for enterprise analytics and reporting.

Qualifications

• 6+ years of experience in data science or analytics roles.
• 2+ years of experience managing teams and complex data environments.
• Background in Financial Services, consulting, or high growth technology environments preferred.
• Distinguished academic track record in quantitative discipline.

Skills and competencies

• Proficiency in SQL, DBT, and Python in a data science context; proficiency in Tableau a strong plus.
• Strong command of best practices for data modeling, data transformations, and data quality frameworks to support scalable, enterprise grade data products.
• Strong analytical, problem-solving, and critical thinking skills.
• Effective communication, both orally and in writing.
• Strong documentation and attention to detail.
• Ability to work independently and collaboratively in a fast-paced, dynamic environment, demonstrating strong organization, prioritization, and follow-through.

Equal Opportunity Statement

We are an equal opportunity employer and make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.