Sr. Data Analyst


Job ID: 32007
Posted: 2022-06-22
Employment Type: Direct Hire

ITAC is assisting a local Birmingham client in their search for a Data Analyst! The ideal candidate will have experience designing, developing, and implementing reporting and analytics solutions in support of core business functions. This includes authoring data dictionaries, preparing and analyzing data from multiple sources, and developing end-user reports and dashboards.

This is a fully remote, work from home position. However, candidates MUST currently live within the United States.


*C2C is not an option with this job opening and all applicants should be able to work for any US Employer without sponsorship. Sponsorship is not provided, and this person will not need to require sponsorship in the future*


What you’ll be doing (duties of this position):


  • Develop dashboards and reports in support of operational requirements
  • Develop data extraction, cleansing, and automated integration workflows processes for external data sources
  • Lead exploratory data analysis to support advanced analytics efforts and convey results to management
  • Create technical documentation of data elements, mappings, and workflows
  • Integrate reporting and metrics into various channels (Dashboards, Email, Excel, etc…)
  • Collaborate with business stakeholders to resolve source data issues and refine transformation rules
  • Evaluate existing integration processes and collaborate to identify opportunities for automation and efficiency improvements
  • Create test cases based on business requirements, data mapping/transformation rules and interface design
  • Perform peer code reviews, and assist with IT and business validations to ensure high quality results


What you’ll need to be considered (requirements):


  • Bachelor’s degree in business, information systems, or related field.
  • 7-10 years’ experience in Business Intelligence or Business Analysis
  • Extensive experience with reporting tools (e.g., PowerBI, SSRS, and Excel)
  • Experience with data warehouse design patterns
  • Deep knowledge of T-SQL
  • Experience in ETL development tools (e.g., SSIS, Azure Data Factory).


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