Required Qualifications:Solid understanding of data gathering tools; proficient with business intelligence reporting toolsHandles multiple priorities at once and possesses strong communication skillsDemonstrates strong leadership qualities and consistently shows initiative3+ years of relevant experienceExperience with systems functional analysis, technology business analysis, and basic understanding of the different technical platforms, databases, and related technologiesAdvanced knowledge of SQLWorking knowledge of software version control systems such as BIT/GIT Bucket or similar platformsAbility to translate high level business requirements into technical data requirementsStrong communication skills (verbal, written and presentations)Strong attention to detail and due diligenceMid-level experience using Copilot Chat to support analysis, documentation, technical problem solving, and day-to-day work executionComfort using AI as an assistant across multiple aspects of the job, including research support, coding assistance, summarization, documentation, testing support, and workflow efficiencyAbility to critically review AI-generated outputs and apply sound judgment before using them in production or business-facing deliverablesAbility to incorporate AI tools into existing reporting and analytics workflows in a practical, responsible, and results-oriented mannerWillingness and aptitude to learn, experiment with, and help operationalize emerging AI capabilities relevant to reporting and analyticsDesired Qualifications:High aptitude for self-motivation and self-directed project workData mining experience using SQL queryingUnderstanding of reporting data governanceProcess designer experienceExperience using GitHub Copilot to support code development, debugging, refactoring, scripting, automation, or technical documentationCuriosity and initiative in identifying new AI-enabled efficiencies and opportunities for continuous improvement. Key responsibilities include performing all phases of the report development process including participating in client meetings to understand needs and develop requirements, performing data research and data discovery, data sourcing including data automation, creating report visualizations, and managing report deployment including user onboarding.