Principal Data Analyst - AI-Powered Decision Architect

Dayforce; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Dayforce is seeking a Principal Data Analyst to turn data into strategic insight and build modern decision products. You will own AI-enabled analytics, semantic models, and Power BI experiences, partnering with senior leaders to drive data-driven decisions across the enterprise.

The role requires strong SQL, Python, API skills, and hands-on experience delivering AI/LLM solutions. Collaboration across functions and governance of data quality are key components of the role.

Qualifications

• Bachelor’s degree in a related analytical field; Master’s preferred.
• 10+ years of progressive experience in data analytics, BI, analytical engineering, data science, or related technical roles.
• Strong SQL, data modeling, and analytical engineering skills; hands-on Power BI experience.
• Hands-on Python and API skills; experience with Git, JSON, notebooks; modern development workflows.

Responsibilities

• Translate ambiguous business questions into analytical solutions that surface insights and actions for executive strategy.
• Design and build analytical products from semantic models and Power BI to AI-powered applications.
• Prototype, productionize AI-enabled analytical apps using enterprise data, LLMs, and APIs.
• Collaborate with leaders to define metrics and connect analytics/AI to business outcomes.
• Build and maintain reliable data models, definitions, and governance practices.

Skills

SQL

Power BI

Python

APIs

AI/LLM

Data modeling

Semantic modeling

DAX

Analytics storytelling

Education

Bachelor's degree in Statistics/Math/Data Science/CS

Master's degree preferred

Tools

Git

JSON

Notebooks

Job description

Dayforce is seeking a Principal Data Analyst to turn data into strategic insight and build modern decision products. You will own AI-enabled analytics, semantic models, and Power BI experiences, partnering with senior leaders to drive data-driven decisions across the enterprise.

The role requires strong SQL, Python, API skills, and hands-on experience delivering AI/LLM solutions. Collaboration across functions and governance of data quality are key components of the role.