Senior Data Analyst

PRI Technology; New York (NY); Hybrid; USD 90,000 - 130,000; Full time

Job summary

PRI Technology is seeking a Senior Data Analyst for a Full-time, on-site role in Westchester County, NY (3 days onsite per week). The position focuses on turning data into business outcomes through analytics engineering, data modeling, and cross-functional collaboration.

The ideal candidate will design data solutions, build datasets and models, and communicate insights effectively to technical and non-technical stakeholders.

Qualifications

• Experience in analytics, analytics engineering, data analysis, or related technical discipline.
• Ability to translate business requirements into data-driven solutions for cross-functional stakeholders.
• Hands-on experience with SQL and Python.
• Advanced proficiency in SQL and working with structured data models.
• Strong understanding of end-to-end analytics from exploration to delivery.
• Familiarity with core data science concepts like ML/AI.

Responsibilities

• Help research and discovery teams turn data into meaningful business outcomes.
• Develop trusted datasets, analytical models, reporting tools, and other data-driven solutions.
• Communicate findings clearly to both technical and non-technical stakeholders.
• Design data solutions by translating business needs into practical data products.

Skills

Analytics engineering

Cross-functional collaboration

SQL

Python

Data modeling

Analytics process

Job description

We are looking for a Full-time/Permanent, Senior Data Analyst who can be 3 days week onsite in Westchester County, NY.

This role is not eligible for employment-based immigration sponsorship. Applicants must be legally authorized to work in the United States without employer sponsorship, now or in the future.

This position will play a key role in helping research and discovery teams turn data into meaningful business outcomes. This position combines strong technical expertise with business acumen to design data solutions, investigate complex questions, and uncover insights that inform strategic and operational decisions.

Working across data, analytics, and research functions, this role will develop trusted datasets, analytical models, reporting tools, and other data-driven solutions. The ideal candidate is comfortable working with open-ended problems, identifying the right analytical approach, and communicating findings clearly to both technical and non-technical stakeholders. Success in this role requires a blend of analytical thinking, engineering skills, curiosity, and the ability to translate business needs into practical data solutions.

Skills:

• Experience working in analytics, analytics engineering, data analysis, or a related technical discipline.
• Proven ability to turn complex business requirements into practical, data-driven solutions for cross-functional stakeholders.
• Hands-on experience using SQL and Python
• Advanced proficiency in SQL, including experience designing and working with structured data models.
• Strong understanding of the end-to-end analytics process, from data exploration and analysis through validation and delivery.
• Familiarity with core data science, machine learning, and artificial intelligence concepts.