Hybrid Senior Custom Analytics Lead

TransUnion; Miguel Hidalgo; Híbrido; MXN 1.000.000 - 1.500.000; Jornada completa

Descripción de la vacante

TransUnion is seeking a Manager II in Data Analysis to lead a team of statisticians, data scientists, and modelers. You will oversee custom analytics projects for financial services clients, shape analytic strategy, and deliver actionable insights to executive leadership.

The role requires a graduate degree with 7+ years of analytical experience, strong R/SAS/SQL skills, excellent communication, and proven leadership in driving complex projects across cross-functional teams in a hybrid work

Formación

• Graduate degree in Computer Science with advanced statistics coursework.
• 7+ years relevant professional analytical experience.
• Expertise in statistical programming (R or SAS), with intermediate SQL skills preferred.
• Strong written and verbal communication, including presentations to executives.
• Excellent analytical, critical thinking, and creative problem-solving abilities.
• Effective project management and leadership, able to delegate, set goals, and coach teams.
• Capable of leading complex projects independently.
• Skilled at motivating and managing teams.
• Proficient in data evaluation and guiding research; hands‑on analysis experience is a plus (SAS, R).
• Advanced Microsoft Office proficiency (Word, Excel, PowerPoint).
• Confident public speaker for diverse audience sizes.
• Solid understanding of business questions and transforming data into actionable intelligence.
• Comfortable communicating across all organizational levels, adjusting approach as needed.
• Advanced English proficiency, both verbal and written.

Responsabilidades

• Lead a team developing custom analytics solutions for clients.
• Comprehensive knowledge of consumer lending and credit risk management practices is essential.
• Collaborate with both internal and external stakeholders to deliver innovative analytical products and insights.
• Play an integral role in the development of predictive modeling and business intelligence solutions for clients such as credit lenders, insurance carriers, and other financial service providers.
• Design and oversee initiatives that involve descriptive, predictive, and prescriptive analysis using various techniques—including segmentation, logistic regression, survival analysis, principal component analysis, scenario and sensitivity analysis, and machine learning.
• This includes delegating tasks and managing the team to ensure timely completion of deliverables.
• Extract data and conduct segmentation and statistical analyses on large datasets utilizing programming languages such as R, SAS, SQL, and Python across Linux and PC platforms.
• Deliver analytic insights and recommendations will be presented in concise, impactful presentations tailored for audiences at multiple levels, including executive leadership; you may also lead key presentations for clients.
• Cultivate an environment that encourages excellence, innovation, and collegiality.
• Serve as a subject matter expert and mentor to junior team members, and acting as an advisor to senior management.
• Proactively identify opportunities for innovation and introduce new ideas and solutions representing the interests of the team.

Conocimientos

Statistics expertise

R programming

SQL proficiency

SAS programming

Python programming

Data visualization

Public speaking

Leadership

Project management

Communication

Educación

Graduate degree in Computer Science

Herramientas

R

SAS

SQL

Python

Descripción del empleo

TransUnion is seeking a Manager II in Data Analysis to lead a team of statisticians, data scientists, and modelers. You will oversee custom analytics projects for financial services clients, shape analytic strategy, and deliver actionable insights to executive leadership.

The role requires a graduate degree with 7+ years of analytical experience, strong R/SAS/SQL skills, excellent communication, and proven leadership in driving complex projects across cross-functional teams in a hybrid work