Data Analyst
At a glance
Mid-level Data Analysis & BI role at USM. Washington · contract.
Pay not stated Data Analyst salary
dataroles summary, based on the employer's posting.
What you'll do
- Clean source data and investigate quality or integrity problems before it moves into the data warehouse
- Build source-to-target mappings and maintain records linking files, databases and data systems
- Use complex queries to research source data, establish its meaning and support migration to the new platform
- Create models, diagrams and charts that guide business and IT teams, and report findings and trends
- Assess operational or compliance risks using statistical data and identify patterns in complex datasets
What you bring
- At least eight years of experience working as a data analyst
- Strong SQL skills, including the ability to write complex queries and assess data quality
- Experience defining data mappings and familiarity with the U.S. healthcare industry
- A bachelor's degree in mathematics, engineering, computer science or another listed field
Who this fits
This mid-level contractor role suits an experienced analyst who can work with source-system experts on data research and migration. You must be local to Washington, DC for an in-person interview. Any visa is accepted except OPT.
From the employer
Job Title: Data Analyst
Location: Washington DC (Locals only)
Duration: 6+ Months
Note: Need Locals for F2F.
Visa: Any visa is fine except OPT.
Data Analysis is the art of collecting and analyzing data so that FEP can use said data to address gaps in operational capabilities and support analytics and reporting projects. The Senior Data Analyst/Modeler is a highly trained professional who will become an expert in our source data and lead the data mapping effort to migrate the data into our new enterprise data platform. The Senior Data Analyst/Modeler will use his/her technical expertise and work closely with source system experts to perform data research, run advanced queries, assess data quality and integrity issues, determine data definitions, and define data mappings.
Tasks:
Candidate will support the implementation of a Data Integration/Data Warehouse for the Informatics Teams
• Data Cleaning – identify erroneous data
• Analyze and assess the quality and integrity of the data
• Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
• Understand the meaning/business context of data
• Acquire data from internal or external data sources and maintain mapping documents of the files, databases/data systems.
• Perform data analysis and data modeling to create source to target mappings.
• Evaluate risk from statistical information to determine risk to operations or non-compliance.
• Create systems models, specifications, diagrams, and charts to provide direction to business and other IT teams.
• Interpret data, analyze results using statistical techniques and provide ongoing reports and feedback
• Identify, analyze, and interpret trends or patterns in complex data sets.
Preferred Qualifications
• Master of Science in Mathematics, Engineering, or Computer Science
• Working knowledge of HEDIS, Fraud, Waste & Abuse
• Working knowledge of ETL
• Working knowledge of ALM
Required Qualifications
• 8+ years demonstrated experience as Data Analyst
• Strong Structured Query Language (SQL) skills
• Demonstrated ability to perform complex queries, assess data quality and develop data mappings.
• Working knowledge of U.S. Healthcare Industry
• B.S. in Mathematics, Engineering, or Computer Science
All your information will be kept confidential according to EEO guidelines.
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