Senior Data Analyst

Role Overview

As a Senior Data Analyst, you will design, build and govern AI-enabled analytics products on the enterprise lakehouse and semantic layer, turning governed data into models, metrics and intelligent reporting used by business leaders.

What You Will Do

Responsibilities include designing and building analytics solutions that embed machine learning and large language models, building and optimizing data models and transformation pipelines in Databricks and Microsoft Fabric, and implementing controls for AI features to respect data classification, access policies and row-level security.

Why It Might Be a Fit

We value and respect the impact our colleagues make every day, and we’re seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams.

Requirements

• Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Information Systems, Engineering or a closely related quantitative field, or a Bachelor’s degree (or foreign equivalent) in one of those fields plus 5 years of progressive, post-baccalaureate experience in analytics engineering, data engineering, machine learning or BI development
• Advanced SQL, including query performance tuning
• Python for data processing and machine learning
• Building data pipelines on a cloud lakehouse platform such as Databricks, Microsoft Fabric or Snowflake
• Dimensional or tabular data modeling for BI
• Developing, evaluating or deploying machine learning or LLM-based solutions
• Statistical analysis methods
• Deep exposure to the FinTech with special focus on Insurance Domain
• Strong team player with ability to lead focus pods successfully
• Ability to clearly articulate problem statements and design decisions
• Flexible to pivot on feedback
• Follow the agile discipline

Benefits

• Generous time off, including personal and volunteering
• Remote work
• Tuition reimbursement and professional development opportunities
• Charitable contribution match programs
• Stock purchase opportunities

Tagged as: Data Analysis