Required Skills : Advanced SQL, Python, PySpark or Pandas Spark. Project - Building out internal benchmarking reports, pulling from Cloudera, Hadoop. This may eventually be external. Pluses: Tableau, data governance, big data Job Description Reporting to the Analytics Engineering Manager, the Analytics Engineer will work as part of a team to develop advanced analytical solutions for clients, including building new product initiatives for healthcare organizations. You will split your time focusing on data analytics while learning the industry and what delivers the highest value for our customers. You'll Will • Have analytical skills to evaluate and interpret data both from an internal and client perspective • Understand analytic questions and create data extract strategies, write SQL and interpret results • Understand relational database structure and our goals to extract and organize relevant data for reporting analysis • Perform complex data analysis, on time, to deliver analytics to help make better decisions along with managing and improving goals • Create benchmarking analyses and data sets • Experience pulling datasets from multiple source systems and aggregating in a data lake • Analyze results and communicate ideas, both verbally and in writing to both technical and non-technical audiences Qualifications Qualifications: • Bachelor's degree in Mathematics, Statistics, Computer Science or related discipline • 10+ years of experience building and supporting analytics backend systems for business intelligence • Experience extracting data from complex data warehouses using SQL and/or stored procedures • Experience with data flows, hierarchies, and data aggregation • Knowledge of BI (Business Intelligence) reporting systems such as Tableau • Understand software development principles and operations • Experience with big data platforms such as Hadoop and Cloudera • Experience with Python (pySpark, pandas) for data engineering • Analytical Skills: Data Analysis, Logic, Statistics • Experience administering Tableau environment a plus • Computer Applications: Tableau (or similar BI Tool), SQL, Hadoop (including Impala, Spark) • Ability to work remotely