Predictive Analyst II

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Contribute to the creation and execution of predictive analytics aimed at facilitating crucial business decisions.

• Utilize statistical and analytical methodologies to construct models and produce actionable insights.

• Design and sustain data pipelines, ETL processes, and data transformations that support analytics workflows.

• Execute data extraction, preparation, and integration from various sources, ensuring high standards of data quality and reliability.

• Leverage SQL and programming languages (Python, R) to analyze extensive datasets and develop analytical solutions.

• Assess model performance and engage in ongoing enhancements and optimization efforts.

• Craft reports and visualizations to convey insights and monitor performance metrics.

• Conduct ad-hoc analyses to address emerging business inquiries and priorities.

• Collaborate with business stakeholders and effectively communicate findings to both technical and non-technical audiences.

• Develop a robust understanding of the enterprise data landscape, particularly within finance and insurance data sectors (pricing, underwriting, claims).

• Participate in the continuous improvement of analytics processes, tools, and methodologies.

• Operate with a significant degree of autonomy, proactively fostering relationships and advancing initiatives in a rapidly changing environment.

⛳️ Requirements

• Over 3 years of experience in data analytics, predictive analytics, or a related discipline.

• Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering, or similar); a Master’s degree is advantageous.

• Experience in the insurance industry is highly preferred (pricing, underwriting, claims), though not mandatory.

• Actuarial knowledge or qualifications are considered a plus.

• Strong hands-on experience with:

• - SQL (advanced)

• - ETL and data pipeline development (advanced)

• Proficient working knowledge of:

• - Python and/or R (intermediate)

• Familiarity with data warehousing solutions like Snowflake is a plus.

• Comprehension of predictive modeling concepts and statistical analysis.

• Strong analytical thinking abilities and attention to detail.

• Capacity to work independently with minimal supervision in an unstructured, evolving environment.

• A curious mindset and ownership to thoroughly understand data sources, systems, and business context from start to finish.

• Excellent communication skills, enabling clear presentation of insights and the narrative behind the data.

• A relationship-building approach, proactively engaging stakeholders across various functions.

• Flexibility and comfort in a fast-paced, startup-like environment within a larger organization.

• Experience with finance or enterprise datasets is an advantage.

• Exposure to executive-level presentations or stakeholder engagement is highly valued.

🏝️ Benefits

• Comprehensive benefits package.

• Opportunities for career development and training.

• Flexible work arrangements.

• A dynamic and inclusive workplace culture within a globally recognized organization.

• Private Health Insurance.

• Pension Plan.

• Paid Time Off.

• Training & Development.