Business Systems Analyst
Role Overview
Join a small collaborative team using agile practices in VIVA’s Data Management Program.
Work focuses on reporting and data warehouse requirements, source-to-target mapping, and data integration.
The position can be performed 100% remotely.
Key Skills for This Role
Full Job Posting
Position overview
Join a small collaborative team using agile practices in VIVA’s Data Management Program.
Work focuses on reporting and data warehouse requirements, source-to-target mapping, and data integration.
The position can be performed 100% remotely.
Required experience and qualifications
- Must know SQL and have excellent oral and written communication skills.
- Five years creating source-to-target documentation and serving as a business-technical liaison for data integration.
- Five years developing complex SQL.
- Five years gathering requirements and developing user stories.
- Five years translating business requirements into technical specifications.
- Five years conducting systems root cause analysis and analyzing complex datasets for patterns, trends, and insights.
- Two years planning and executing testing, reconciling results, conducting UAT, and collaborating to resolve defects.
- Strong analytical, problem-solving, and critical-thinking skills.
Responsibilities
- Liaise between business and technical staff to design and implement data integration processes.
- Create and maintain source-to-target documentation.
- Develop complex SQL and gather requirements into user stories.
- Translate business needs into technical specifications.
- Conduct root cause and complex data analysis.
- Plan and execute system testing, reconcile results, and conduct user acceptance testing.
- Work with stakeholders to resolve issues and defects.
Client technologies
- Listed client technologies include Jira, SharePoint, Teams, Alteryx, SSIS, SSRS, SSMS, Squirrel, SQL Server, Tableau, Semarchy, Git, and GitHub.
Preferred skills and experience
- Preferred: gap analysis, cost-benefit analysis, user mentoring and training, data quality tools and frameworks, business intelligence platforms, and data governance including security and privacy policies.
- Preferred: dashboard requirements, data modeling, comprehensive systems documentation, user manuals, end-user training, managing concurrent projects, and interpersonal collaboration skills.
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