The first 3 weeks will be required to be 100% onsite in the Deerfield office then hybrid.
Must be local or relocate prior to start
Need valid LinkedIn, last 4 of SSN, MM/DD and 10/10 comms
- Strong technical knowledge / expertise; experienced in data research, strong technical requirements gathering; strong SQL knowledge and data retrieval skills required; Experience with COBOL / DB2 required and Informatica a plus. Ability to use SAS is a plus. Strong strong Sql dev usually or sql skills in general Azure Data purification someone who can find discrepancies Data cleansing Data validation Must Have
- Data Analysis
- SQL Development
- Azure
- Data Mapping
- Data Mining
- Data modeling
- ETL
- Business Analysis, Business Process, Documentation
- Excellent Business Acumen
- No BI People
- They really go for excellent personality very good communication, and just heavy hitters. They are a Microsoft shop so power BI is in their environment Candidates will need to have hardware to support a windows-based environment. Good video and internet connectivity are critical. Candidates are expected to attend meetings as requested and work within defined business hours eastern standard.
Sr. Data Analyst will be responsible developing an understanding of the relationship of the data that supports business processes and applications.
The analyst will gain insights into the data and the movement of the data from data entry to final data destinations in the back-end files and reporting systems.
Candidates must possess the technical capabilities to extract, retrieve and analyze data on their own.
Be able to dive in and research new and complex data sources to understand how the data is moving in the system and how the data is stored in order to identify any anomalies that may exist.
The analyst should possess strong interpersonal communication skills to be able to bridge the gap between business and technical users to relay both business and technical concepts as it relates to data.
The analyst will be required to document findings and ensure that mappings and lineage are well documented and stored into knowledge storage repositories.
This assignment is for projects that will interact with business and IT to understand business processes and the related data.