Data Exchange Analyst

Role: Data Exchange Analyst 

Salary:$90,000 – $110,000/year

Work for an innovative fast growing startup!

Work alongside a well respected team!
Be apart of changing healthcare!
Lots of Autonomy!
Flexible hours!

If that’s you, let’s talk!

What 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:
 

• Bachelor’s 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.