Data Analyst I 1086853

St. Louis, MO

Post Date: 05/10/2018 Job ID: 137628 Job Category: Software Dev. - General/IT

Are you looking for a new and challenging opportunity? Do you have experience with quantitative analysis? Technology Partners can help you make your next big career move a reality.

Our client is currently seeking a talented person for a Data Analyst I position in St. Louis, Missouri.

What You Will Be Doing:

You will be responsible for advanced and predictive data analytics using big data and data science technology for healthcare innovation. You will also perform analysis using data science techniques on structured and unstructured data sets, and develop algorithms for targeted business needs. You will design and develop data models to predict member outcomes or future impact of key member decisions. You will also design and construct analysis tools that extract, and analyze data and store analytical results in an appropriate format for business needs. You will conduct exploratory data analysis from complex data sources and build key data sets to support company mission operational analysis. You will evaluate and design experiments to monitor key metrics and identify improvement opportunities. You will develop mathematical and statistical models to distinguish relevant content or events and recognize patterns. You will participate in presentations and communicate results of research analysis and findings. You will also participate in the design of automated, operational analytics processes to achieve scale and durability of analysis processes. You will create analysis and data reconciliation through SAS, R, and other tools, to include healthcare provider data, claims data, membership data.

What We Are Looking For:

  • Master's degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 1+ years of experience or Bachelor's degree and 3+ years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis.

  • Experience with database technologies, including Oracle, SAP, DB2, Teradata, MS SQL Server, SAP HANA, MySQL.

If this position sounds like you, WE SHOULD TALK!

Your better future is ready, and we want to put the right tools in your hands to get you there. Let's go!

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