At Lifescale Analytics, we help achieve data driven decisions by leveraging strategic technologies to create innovative solutions, that ultimately help our clients to navigate their ever-changing data landscape. We have an opportunity for a Data Warehouse Analyst . Candidates MUST BE Onsite in Tallahassee, FL. Telecommuting will not be considered. Travel and relocation expenses will not be covered by the client or employer. This job is to be performed 100% onsite. Work Hours: Flexibility to work hours between 7:00 AM & 7:00 PM and/or Saturdays, either on a rotation or as part of a regular and on call work schedule. Applicants responding to this position must be a US Citizen or Greencard Holder and will be subject to a background check and drug screen. The Employer will not sponsor applicants for any employment visas, at hiring or in the future, including but not limited to H-1B, EAD or OPT visas. Corp-to-Corp or subcontract personnel will not be considered for this position. Scope of Work: Responsible for gathering and assessing business information needs and preparing system requirements. Perform analyses, development, and evaluation of data mining in the Snowflake cloud data warehouse environment which includes data design, database architecture, and data management utilizing Informatica PowerCenter, Intelligent Data Quality, and Enterprise Data Catalog. Use data mining and data analysis tools including Power BI and Tableau. Reviews and validates data loaded into the data warehouse for accuracy. Interacts with user community to produce reporting requirements. Provides technical consulting to users of the various data stores and advises users on conflicts and inappropriate data usage. Responsible for prototyping solutions, building solutions, preparing test scripts, and conducting tests for Snowflake data population including data replication, extraction, loading, cleansing, and transforming the data. Responsible for enterprise data modeling. Maintain knowledge of software tools, languages, scripts, and shells that effectively support the Snowflake cloud data warehouse environment. Additional responsibilities as requested by the manager.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees