Apply AI-Driven Development Lifecycle (AI-DLC) practices across requirements analysis, design, development, testing, documentation, and deployment activities.
Utilize AI-assisted tools to improve developer productivity, automate repetitive tasks, generate documentation, optimize report development, and improve overall delivery efficiency.
Identify opportunities where AI-enabled capabilities can improve reporting, analytics, business insights, and solution delivery.
Identify patterns, trends, anomalies, and meaningful insights from data through analysis and visualization.
Find opportunities for automation and performance optimization to improve business processes and reporting efficiency.
Document technical solutions and design approaches to address defined business requirements.
Work with other team members to define effort estimates, timelines, project plans, and delivery milestones.
Minimum Qualifications
Bachelor’s degree in computer science, Engineering, or related field.
4 or more years of experience as a Reports Developer, BI Developer, or Data Visualization Developer.
2 or more years of expertise in Power BI and/or Tableau products including Desktop, Service/Server, Online, and related platform capabilities.
2 or more years of experience leveraging data integration and ETL tools (e.g., SSIS, Informatica, Data Factory, Matillion, etc.) to support analytics applications.
2 or more Completion of Power BI and/or Tableau implementation lifecycles.
2 or more years of strong understanding of charts, tables, filters, parameters, sets, calculated fields, DAX, blending, LOD expressions, and visualization best practices.
1 or more years of hands-on experience with AI-related capabilities within Power BI, including Q&A, Smart Narratives, Key Influencers, Decomposition Tree, Copilot, and other AI-assisted analytics features.
Additional Job Standards
Excellent analytical skills with the ability to analyze business needs and translate them into reporting and analytics solutions.
Experience working with Business Analysts and business stakeholders to define requirements and recommend development approaches.
Ability to interpret business requirements and define technical alternatives, tools, and implementation approaches.
Strong knowledge of databases and proficiency in SQL.
Ability to build medium to highly complex reports and dashboards using multiple enterprise data sources.
Strong experience identifying trends, anomalies, patterns, risks, and opportunities through data analysis.
Experience applying AI-assisted development tools and AI-DLC practices to improve development productivity, testing, documentation, solution quality, and delivery timelines.
Familiarity with Generative AI tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, or similar AI-assisted development platforms.
Ability to identify and implement automation opportunities using AI-enabled capabilities.
Experience documenting technical designs, business requirements, and solution architectures.
Experience working in Agile delivery environments and collaborating across cross-functional teams.
Strong communication, stakeholder management, and presentation skills.
Labcorp is proud to be an Equal Opportunity Employer
Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.
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