A degree in math/statistics, computer science, physics or other technical field and be fluent in several programming languages:
An understanding of statistical analyses, machine learning and data mining techniques with tools such as:
Data Engineers experience requirements:
Data Bases and Data Warehouses
ETL (Extract, Transform and Load) Tools
Modern NoSQL Technologies
at least five years in database SQL
Job requirements include:
Degree in computer science
Warehousing Architecture & Data Modeling
Big Data and MPP technology
Internships at PYA Analytics are a great way to build experience and a career in data analytics and its related fields. They may also lead to a full-time position with our firm. Hours are flexible to accommodate academic calendars and schedules. We accept students from a variety of majors I.e. computer science, statistics, business administration, electrical engineering, marketing and others.
To apply, send your resume to
Applications are reviewed on a rolling basis
PYA Analytics is an Equal Opportunity Employer and complies with all applicable laws and regulations regarding equal employment opportunities. The policy of PYA Analytics is to apply recruiting, hiring, promotion, compensation, and professional development practices without regard to the race, religion, color, national origin, sex, age, creed, disability, genetic information, veteran status, sexual orientation, or any other characteristic protected by law. Any applicant or employee who believes s/he has a discrimination claim (including harassment or retaliation) must contact PYA Analytic's HR Department within 45 calendar days of the event or action s/he believes to constitute discrimination, harassment, or retaliation.