Key skills
Power BIDAXSemantic modelingSQLRelational databasesCode reviewVersion controlData warehousingETL processesLarge-scale datasetsSaaS softwareData analysisData visualizationETLData WarehousingAnalyticsBIBusiness IntelligenceVersion ControlSaaSJiraAgileProject ManagementSales
About this role
Rentvine is the fastest-growing property management software company in the industry, and they are seeking a Jr. Business Intelligence Analyst to join their team. The role involves transforming raw data into actionable insights that influence product strategy and operational efficiency while contributing to the growth of the BI function.
Responsibilities:
- Design, build, and maintain dynamic Power BI dashboards and reports supporting business operations and strategic initiatives
- Partner with technical and non-technical stakeholders to create intuitive visualizations that communicate complex data clearly
- Analyze large-scale datasets to uncover trends, patterns, and growth opportunities
- Convert manual Excel reporting into automated Power BI dashboards, identifying areas for optimization in the process
- Partner with cross-functional teams to gather requirements and deliver tailored BI solutions
- Provide training and support to end-users on Power BI tools and reporting capabilities
- Ensure data accuracy and consistency across all reporting platforms
- Maintain documentation for BI solutions including data models, workflows, and business logic
- Troubleshoot issues and data inconsistencies between our Datamart and user-facing reports
Requirements:
- Bachelor's degree in Business, Computer Science, Information Systems, or related field
- 3+ years of experience in BI, data analysis, or analytics roles
- Advanced proficiency in Power BI or related BI tools, including DAX and semantic modeling
- Strong SQL skills and experience with relational databases
- Ability to conduct code review and determine points of failure
- Exposure to version control
- Ability to communicate complex insights in a clear, concise, and actionable manner
- Familiarity with data warehousing, ETL processes, and large-scale datasets
- Experience in SaaS or commercial software environments
- Strong attention to detail
- Experience in operational, sales, and financial analytics
- Exposure to data modeling and planning
- Understanding of Agile methodologies and project management tools (e.g., Jira, Trello)
- Exposure to a predictive analytics environment