Job Details

Position: Sr. Data Analyst
Duration: 12 Months Contract
Location: Reston VA 20191
Job description:
The purpose of a Sr. Data Analyst is to find meaning in data as a thought leader so that the derived knowledge can be used to make informed decisions and assist the organization in making better business decisions.

• Data Cleaning - identify erroneous data and determine appropriate resolution
• Analyze and assess the quality and integrity of the data including Reference 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 documentation of the STTM & Mapping doc
• 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.
• Perform gap analysis of data requirements versus current data sources.
• Work closely with business analysts and source data experts to develop data requirements.
• Assess current data and assist in the resolution of data anomalies.
• Interpret data, analyze results using statistical techniques and provide ongoing reports and feedback
• Data profiling experience (Preferably using Abinitio DQE)

Qualifications

• 5 years' experience in an analytical/quantitative role.
• 3+ years of Experience in Healthcare Industry
• 7+ years of Hands on experience with Big Data/NoSQL Platforms with experience delivering production projects at scale.
• 7+ years of demonstrated experience as Data Analyst
• 7+ years of Strong SQL and data modelling skills like 3rd normal form and dimensional modelling
• Demonstrated ability to perform complex queries, assess data quality and develop data mappings.
• 7+ years of experience in developing Source to Target mapping (STTM) & Gap Analysis based on business requirement.
• 7+ years of experience with multiple data warehousing and analytics development projects

Education Details: Bachelor's Degree of Data Science, Mathematics, Computer Science, Statistics, Business or related field