Data Analyst

Title: Data Analyst
Location: Howell, NJ - Onsite requirement. Please look for local resources.

Key Skills: Need very strong in PowerBI, SSIS. Client Facing Skills. Azure is preferred. 7+ years of experience

RESPONSIBILITIES AND QUALIFICATIONS
Gather requirements from JAD sessions with business users.
Collect Use cases by talking to Business and work with Architects and Data Modelers to translate them into Model Requirements
Design and develop Activity Diagrams, Sequence Diagrams, and OOD to
represent the requirements to communicate the information effectively with users, developers and testers.
Work closely with business users, and subject matter experts to understand and document functional and non-functional requirements for various use cases.
Identify/document data sources and transformation rules required to populate and maintain data warehouse content.
Review and analyze data and data models including reports to augment the
requirement for use cases with technical information for facilitating development
and data modeling activities.
Conduct meetings and presentations to share ideas and findings with stakeholders and team members.
Effectively communicate insights and plans to cross-functional team members and management.
Write data analysis SQL queries to profile and document metadata to analyze data and augment key inputs required.
Perform extensive requirement analysis, develop use cases and workflows.
Play a key role in the planning, User Acceptance Testing, and Implementation of system enhancements and conversions.
Develop strategic partnerships with the business units to develop a solid knowledge base of the business line including the business plan, products, process and revenue streams.
Develop business requirement specification documents as well as high-level project plan.

Requirements

Bachelors Degree or master's degree in Computer Science, Mathematics, Statistics.
7+ years of experience working as Data Analysts.
Ability to write good SQL for data analysis must experience in MS technologies such as MS SQL Server, Azure, Power BI, and SSIS.
Experience with managing production support teams is a must-have
Exposure to sensitive data management is a plus
Self-learner and ability to work independently is a must
Exposure Programming language Python good to have
Exposure to Data Science is good to have
Exposure to Unix , sftp is a plus