5-6 years of experience in business requirements and/or data analysis supporting the Health Insurance industry
5-6 years of Experience working on data warehouse or reporting/analytic projects
5-6 years of Experience in industry standard querying tool
5-6 years of Experience working on Agile projects
Strong facilitation, requirements elicitation and data analysis skills
Understanding of current and emerging IT products, services, processes and methodologies Prefer working knowledge of ETL process and familiarity with data integration tools and techniques
At least 5 years of experience with database concepts and SQL skills on Databases like oracle, SQL server
Connected with industry best practices
Health Insurance Knowledge
Business Acumen
Strong Communication skills (both verbal and non-verbal) Detail Oriented
Proven ability to organize and manage multiple priorities in a timeline driven environment. Presentation Skills
Focused on continuous improvements
Interpersonal and influencing skills
Team player
Establishes credibility
Effectively manages key stakeholders in a matrix environment
Roles & Responsibilities:
Over 5-6 years IT experience in Data Analysis and data conversion strategy
Applies functional knowledge and techniques necessary to draw out data and analytics business requirements completely and accurately from stakeholders
Performs requirements planning, monitoring and requirements management
Independently performs data analysis, data discovery and data profiling using industry standard querying tools to support business requirements development that are complete, clear, unambiguous, well written and appropriate to audience
Maintains Data mapping documents, Bus Matrix and other Data Design artifacts that define business data requirements and transformation rules
Act as liaison and advisor/consultant between the business and IT stakeholders.
Performs and aid functional testing
Structure and drive working and informational sessions that promote collaboration, synergy, and achieve desired outcomes
Understands the scope of the project and helps resolve scope questions and issues related to own work
Handles moderate level root cause analysis of business data issues and provides technical data guidance on issues
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