Python/R Engineer (Analytics)

PRI Technology; City of Rye (NY); Hybrid; USD 110,000 - 160,000; Full time

Job summary

PRI Technology is seeking a SQL/Python Analytics Engineer in Rye, NY for a full-time, hybrid role (3 days onsite, 2 days remote). You will deliver deep analytical insights, build data products, and support products with data-driven recommendations.

You will design dashboards, run hypothesis-driven analyses, and collaborate with the discovery team and data science colleagues on AI/ML use cases. Strong SQL/Python skills and 5+ years of analytics experience are required.

Qualifications

• 5+ years of experience in advanced analytics or analytics engineering.
• Strong SQL and Python applied to real-world analytics problems.
• Experience delivering business-facing analytical solutions in complex environments.
• Excellent communication and collaboration with cross-functional teams.

Responsibilities

• Conduct deep, hypothesis-driven exploratory data analysis to support discovery, research, and operational decision-making.
• Translate ambiguous business questions into structured analysis.
• Design, develop, and deliver dashboards, reports, and ad-hoc analyses with fast turnaround times.
• Produce executive-ready outputs with minimal rework.
• Build reusable analytical assets to accelerate future discovery efforts.
• Collaborate with data science team on AI/ML use cases.
• Communicate findings clearly to technical and non-technical audiences.
• Participate in Agile/SCRUM ceremonies and deliver work within sprint commitments.
• Support modernization and migration initiatives from legacy reporting platforms.

Skills

SQL

Python

Analytics engineering

Data analysis

Education

Bachelor's degree in data science, computer science, engineering, mathematics, business analytics, or related field

Job description

I have a full time opportunity for a SQL/Python Analytics Engineer to join the team with one of our top organizations in Rye NY. The Analytics Engineer operates in a world of solid Python (or R skills) and SQL. You will “very” business facing in this role and be responsible for delivering deep analytical insights, advanced data products and support the products based on your data driven recommendations.

No H1B, F1 or OPT/STEM

This is a hybrid role, 3 days onsite, 2 days remote

Responsibilities

• Conduct deep, hypothesis-driven exploratory data analysis to support discovery, research, and operational decision-making.
• Translate ambiguous business questions into structured analysis.
• Serve as a partner to discovery team, providing analytics support.
• Design, develop, and deliver high-quality dashboards, reports, and ad-hoc analyses with fast turnaround times.
• Produce executive- and stakeholder ready outputs with minimal rework.
• Balance speed and rigor while maintaining high standards of data quality.
• Develop complex SQL queries and conduct performance and quality checks.
• Use Python for data analysis, feature engineering, and analytical modeling.
• Build reusable analytical assets to accelerate future discovery efforts.
• Collaborate and support data science team in developing AI/ML uses cases.
• Apply statistical experimentation modeling techniques where appropriate.
• Maintain active curiosity and learning in analytics, data science, and AI.
• Partner closely with business stakeholders, discovery team to align analytics solutions with business objectives.
• Clearly communicate analytical findings, assumptions, and limitations to technical and non-technical audiences.
• Contribute to Agile/SCRUM ceremonies and deliver work predictably within sprint commitments.
• Continuously improve analytics processes, tooling, and delivery practices.
• Support modernization and migration initiatives from legacy reporting platforms.

Experience

• 5+ years of experience in advanced analytics, data analysis, analytics engineering, or similar roles.
• Demonstrated experience delivering business-facing analytical solutions in complex environments.
• Strong experience with SQL and Python applied to real-world analytics problems.
• Advanced knowledge of SQL and data models.
• Strong understanding of analytics workflows, exploratory analysis, and data validation.
• Working knowledge of data science and AI concepts.
• Understanding of data governance and quality principles.
• Cultural competency and the ability to communicate effectively in a culturally sensitive manner with both individuals and groups from diverse backgrounds.
• Exceptional analytical and critical thinking skills.
• Ability to rapidly analyze, synthesize, and communicate insights.
• Strong time management with a focus on delivery and accountability.
• Clear written and verbal communication skills.
• Bachelor's degree in data science, Computer Science, Engineering, Mathematics, Business Analytics, or a related field