• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 15th Jul 2025

The Informatics Data Analyst will possess knowledge and experience in basic statistical concepts; identifying the trends, business opportunities, and relevant issues; commonly-used demographics and databases; definitions of fields and how data is entered and processed; data mining/intelligence; statistically-valid analysis and measurement methodologies; packaging data – infographics and other data display techniques, and report design options; data interpretation and validation; Ad Hoc analysis/performance evaluation principles; common demographic data bases; SQL coding and report services; data warehouse design; web-based application design; PC skills (e.g. Microsoft Office, Word, Excel, PowerPoint, SAS, Access and Excel); working independently as well as a leadership role in creating process documentation and interfacing with other team members to obtain this information; detailed-oriented; excellent interpersonal, oral and written communication skills; ability to handle multiple tasks; and problem solving and troubleshooting skills.

Skills Preferred

· Proficient at managing data-focused projects or technology infrastructure initiatives. · Strong analytical and problem-solving skills. · Exceptional communication and interpersonal abilities to bridge gaps between technical and non-technical teams.

Experience Required

This classification must have a minimum of two (2) years of experience in processing, management, and retrieval of information.

Experience Preferred

At least three (3) years of experience in: · Project management, including planning, execution, and reporting. · Stakeholder engagement and cross-functional coordination. · Process mapping, workflow diagramming, and business requirement documentation. · Familiarity with Salesforce, Azure Data Lake, PowerBI, or SQL Server is strongly preferred.