Junior to Senior Data Engineer / SAS Programmer (Python, R, SQL and SAS) for Startup

A Top Firm focusing on Market Access & Pricing Research in life sciences industry is looking for a Strong Data Engineer / SAS Progammer with Strong SAS, Python, R and SQL.

Responsibilities

• Designs, develops, automates, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement.
• Interacts with product and service teams to identify questions and issues for data analysis and experiments.
• Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Identifies meaningful insights from large data and metadata sources
• Interprets and communicates insights and findings from analysis and experiments to product, service and business managers.
• As a seasoned, experienced professional with a full understanding of area of specialization, he/she resolves a wide range of issues in creative ways.
• Ability to draw on past experience and current data to influence business partners and provide insightful analytics.
• Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
• Demonstrates good judgment in selecting methods and techniques for obtaining solutions.
• Working in a team environment, interact with multiple groups on a daily basis (very strong communication skills).
• Ability to build tests to identify errors while developing software.
• Ability to leverage R, Python, SQL and other systems to perform complex analysis
• Ability to work in cross-functional teams and work more independently.
• BS in Computer Science or related degree
• 3-5 years of relevant work experience
• Experience with SAS and SQL a must
• Experience with R, Python, and Shell a plus
• Ability to write, analyze, and debug SQL queries
• Experience with Data Warehouse design, ETL (Extraction, Transformation & Load), Architecting efficient software designs for DW platform.

All your information will be kept confidential according to EEO guidelines.