Senior Associate – Analytics Engineer

Overview

• Design and build scalable data infrastructure for client reporting and analytics.
• Collaborate with cross-functional teams to develop tailored solutions for client deliverables.
• Implement data quality checks and validation frameworks for client-facing outputs.
• Develop reusable analytical frameworks for portfolio analysis and insights.
• Integrate third-party SaaS platforms to enhance client reporting capabilities.
• Document technical designs and establish best practices for scalable solutions.
• Provide ad-hoc analysis support to advisory teams as needed.

Key Responsibilities & Duties

• Design and automate data pipelines using Airflow and dbt for reporting processes.
• Develop APIs for data access and configuration management tailored to client needs.
• Collaborate with software teams to build applications driving analytics.
• Translate business requirements into scalable technical solutions.
• Build automation frameworks to streamline client reporting workflows.
• Create client-facing metrics and analytics using Python and Jupyter notebooks.
• Integrate with cloud data warehouses and SaaS platforms for enhanced reporting.
• Document architectural decisions and maintain technical documentation.

Job Requirements

• Bachelor of Science (BS) degree in a relevant field.
• 3-5+ years of experience in data pipeline development and automation.
• Proficiency in Python, SQL, and modern orchestration frameworks like Airflow.
• Experience with data transformation tools such as dbt.
• Familiarity with cloud data warehouses (e.g., Snowflake).
• Knowledge of version control and CI/CD practices.
• Experience with BI platforms like Power BI or Tableau is preferred.
• Background in financial services or wealth management is advantageous.