Analytics Engineer

Description

Job Summary: An insurance brokerage is seeking an Analytics Engineer to design models, implement business intelligence solutions, and optimize data pipelines. Key Highlights: 1. Design and develop analytical and machine learning models. 2. Implement business intelligence solutions using Power BI. 3. Build and optimize data pipelines in cloud environments (AWS). **Job Description** ---------------------- An insurance brokerage is seeking an Analytics Engineer. Main responsibilities: * Design and develop analytical models (descriptive, predictive, and machine learning). * Implement business intelligence solutions via Power BI dashboards. * Build and optimize data pipelines (ETL/ELT) in cloud environments (AWS). * Integrate and model data from multiple sources in a Data Lake / Data Warehouse. * Identify business needs and propose high-impact analytical solutions. * Generate relevant insights for commercial areas, customers, and strategic management. Mandatory Requirements * Professional degree in Computer Science Engineering, Statistics, Computing, or related field. * Minimum 4 years of experience in data analytics, data science, or data engineering roles. * Proven experience working with AWS services (S3, Redshift, Glue, Athena, etc.). * Advanced proficiency in Python (pandas, numpy, scikit\-learn, PySpark). * Advanced proficiency in SQL and data modeling. * Experience developing ETL/ELT pipelines in production environments. * Experience with Power BI (DAX, data modeling, visualization). Desirable Requirements * AWS certifications (Cloud Practitioner, Data Analytics, or Machine Learning). * Experience in the financial or insurance industry. * Knowledge of Generative AI and advanced machine learning models. * Experience with agile methodologies (Scrum/Kanban). Key Competencies * Analytical thinking * Problem solving * Effective communication * Results orientation * Collaborative work Application If you meet the profile and wish to join our team, we invite you to apply!**Candidate Requirements** -------------------------- * Minimum 4 years of experience in data analytics, data science, or data engineering roles. * Computer Science Engineering, Statistics, Computing, or related degree. * Proven experience working with AWS services (S3, Redshift, Glue, Athena, etc.). * Advanced proficiency in Python (pandas, numpy, scikit\-learn, PySpark). * Advanced proficiency in SQL and data modeling. This opportunity is open to persons with disabilities. **Selection Process** ------------------------ The selection process is conducted through Aira — a recruitment platform designed to enhance your application experience. To apply, you only need: 1\. Apply to the job posting 2\. Check your email 3\. Log in to Aira and answer the requested questions and/or tests Then, if your profile matches our requirements, we will contact you by email (via Aira) to proceed to the in-person stage. **About Us** ------------------ Welcome to our new Job Opportunities Portal, where you can apply online — faster, simpler, and more engagingly. It is a fully digital process, requiring you to complete/validate your background information, take psychometric assessments, and ultimately record a video\-interview. Questions? You’ll have access to online information or a virtual assistant.