Data Analyst/Scientist

Data Analyst/Scientist Digital Intelligence Systems (DISYS) is seeking a savvy Data Analyst/ Scientist to be a part of a high-performance agile Metrics, Analytics and Reporting Team (MART) within the Healthcare domain. Join a small and highly motivated team who study and analyze user interactions with customer facing applications. The team focuses on a data-driven strategy for making decisions by studying historic usage trends and is moving towards predicting how users will interact with the organization’s products. The MART group loves what they do and needs someone who equally shares the joy and passion of working with data and driving product performance by building a sound understanding of their users through creative problem solving. The ideal candidate is a great team player, has experience in predictive analysis, data modeling and familiarity with a multitude of technologies. You should also have proven analytical skills; strong experience in writing Python code, SQL queries, designing database tables, and engaging Tableau to create forecasting reports and predictive models. Competencies: Advanced knowledge of statistical programming language Python Extensive experience developing Tableau reports Clear understanding of logical and physical database design and data Strong database skills (MySQL, SQL Server) and ability to write, optimize and fine-tune complex SQL scripts Deep understanding of statistics and algorithms Responsibilities: Make recommendations regarding collection, extraction and transformation of large data sets Interpret data and analyze results Translate analytical insights into clear recommendations; identify trends and patterns to inform business decisions and product design Leverage Python to analyze complex data Design and develop customized interactive reports and dashboards in Tableau Work on Tableau Server maintenance, scheduling, upgrades, etc. Leverage TabPy and the PostgreSQL Tableau server repository to analyze and build dashboards Automate processes using Python Define and develop a data migration strategy between different products and platforms Develop creative ways to identify and use data that significantly impact key business metrics Assess the potential usefulness and validity of new data sources Utilize statistical approaches to build predictive models Mentor other team members/analysts to grow their skills and careers Qualifications: B.S. in Computer Science, Statistics, Mathematics, or Engineering or equivalent work experience Must have 5+ years of experience and proven track record in solving business problems through fact-based and scientific analytics. Samprasoft