Data Exchange Analyst - Maplewood, United States - ExpertHiring

Description

Top reasons to work for my client:Work from homeWork for an innovative fast growing startupWork alongside a well respected teamBe apart of changing healthcareLots of AutonomyFlexible hoursIf thats you, lets talkJob Type : Full TimeLocation : Maplewood, New JerseyPay : Great PayJob DescriptionWhat you will be doing:Receive and prepare data for exchange with state health, health care and provider agencies.

Conduct troubleshooting and error resolution to ensure data flow.
Interpret data, analyze results using statistical techniques and provide ongoing reports.
Develop and implement databases, data collection systems, data analytics and other strategies.
Acquire data from primary or secondary data sources and maintain databases/data systems.
Identify, analyze, and interpret trends or patterns in complex data sets.
Clean data by reviewing computer reports, printouts, and performance indicators.
Collaborate with management to prioritize business and information needs.
Define new process improvement opportunities.
Work with executives and other business leaders to identify opportunities for improvement.
Create reports for internal teams and/or external clients.
Collaborate with team members to collect and analyze data.
Use graphs, infographics and other methods to visualize data.
Establish KPIs to measure the effectiveness of business decisions.
Structure large data sets to find usable information.


Experience you will need:

Bachelors degree in Mathematics, Economics, Computer Science, Information Management or Statistics.1-3 years of experience with Qlik.1-3 years of experience with SQL.Proven working experience as a data analyst or business data analyst.

Technical expertise regarding data models, database design development, data mining and segmentation techniques.

Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks).Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc).Coding skills in languages such as Oracle and Python.

Adept at queries, report writing and presenting findings.

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

Experience with statistical software and data visualization.
Excellent attention to detail.
Our client asked me to submit 3 great people within the next few days. We work directly with the hiring manager and can arrange interviews within a few days#INDEH123 % % %%techinfo%%#J-18808-Ljbffr