Senior Data Analyst - Healthcare

We are seeking an experienced Senior Data Analyst with extensive expertise in SQL, database querying, data modeling, and business analysis. The ideal candidate will play a critical role in analyzing complex queries, ensuring data integrity, and translating business requirements into technical solutions. This role requires strong problem-solving abilities, attention to detail, and proficiency with Tableau, Power BI, and database management systems.

Required Qualifications:

• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• Candidates need to be in and around or willing to relocate to any of the locations Hartford, CT, Raleigh, NC, Indianapolis, IN, Richardson, TX and Tempe, AZ.
• At least 4 years of Information Technology experience
• Experience as a Data Analyst with a strong SQL background.
• Develop, optimize, and execute complex SQL queries for data extraction, analysis, and reporting.
• Proficiency in SQL Server, Snowflake, Netezza, or similar database platforms.
• Expertise in data modeling, normalization, and de-normalization techniques.
• Knowledge on ETL processes, data warehousing, and reporting tools.
• Strong analytical and problem-solving skills to assess complex data structures.
• Ability to work with Agile methodologies and collaborate in cross-functional teams.
• Experience working with US Healthcare Data.
• Hands-on experience with data governance, compliance, security protocols, Data Analysis and Data Visualization Tools.
• Perform requirement gathering and business analysis, working closely with stakeholders to define technical specifications.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.

• Understand and interpret data models, supporting data structuring and optimization initiatives.
• Collaborate with business and IT teams to translate business requirements into technical specifications.
• Good to have proficiency in Python or other scripting languages for additional data analysis capabilities.
• Perform database normalization and de-normalization to support efficient data storage and retrieval.
• Conduct complex database joins, including Common Table Expressions (CTEs), row qualification, and de-duplication techniques.
• Analyze large-scale SQL queries (1000+ lines) to ensure efficiency, accuracy, and optimization.
• Evaluate Tableau and Power BI reports, analyzing underlying queries to identify and refine reporting requirements.
• Develop source-to-target mapping based on established data models.
• Conduct gap analysis to identify inconsistencies and opportunities for data improvement.
• Perform data profiling to detect anomalies, assess data behavior, and highlight data discrepancies.
• Ensure effective communication across business and technical teams.
• Work in an Agile environment, adapting to dynamic project needs and timelines.
• Demonstrate quick learning ability to adopt new technologies and methodologies efficiently.