Business Data Analyst IV

ModivCare Solutions, LLC is hiring a Business Data Analyst IV to analyze complex business data and deliver insights that support decision-making. The role develops reports and data models, collaborates with business leaders, supports data governance, and communicates recommendations to stakeholders.

Responsibilities:

• Analyzes and interprets large sets of business data to identify trends, patterns, and insights
• Develops and maintains complex reports, dashboards, and visualizations for various business units
• Collaborates with business leaders to understand data needs and provide actionable recommendations
• Designs and implements data models to support business strategies and optimize processes
• Supports the development and implementation of data governance policies and standards
• Utilizes advanced analytical techniques (e.g., regression analysis, predictive modeling) to address business challenges
• Ensures data integrity and accuracy by performing quality checks and data validation
• Presents complex data insights in a clear, concise manner to both technical and non-technical stakeholders
• Continuously monitors industry trends and best practices to enhance data analysis techniques
• Provides mentorship to junior data analysts, offering guidance on complex analytical tasks
• May lead projects and perform other duties as assigned
• Use approved AI-assisted tools to support coding/scripting, testing, debugging, troubleshooting, documentation, technical research, and related work to improve the quality and speed of deliverables. Review and validate AI-generated outputs to ensure they meet company standards for security, privacy, quality, accuracy, and responsible use. Support the adoption and expansion of AI technologies by evaluating tools, new uses and processes while providing constructive feedback. As AI technologies and business practices evolve, the scope of supported activities may expand

Requirements:

• Bachelor's degree in Business Administration, Computer Science, Information Technology, Statistics, Mathematics, or a related field required
• Seven (7) plus years of experience
• Or equivalent combination of education and/or experience
• Expertise in data analysis techniques, including statistical analysis, regression, and predictive modeling
• Proficiency in data analysis tools (e.g., SQL, Python, R, Excel, Power BI, Tableau)
• Strong understanding of data visualization principles and best practices
• Ability to communicate complex data findings effectively to a variety of audiences
• Excellent problem-solving skills with the ability to work through complex business challenges
• Strong attention to detail and ability to ensure data accuracy and integrity
• Experience in data mining, data cleaning, and data transformation
• Knowledge of data governance principles and best practices
• Ability to work independently and manage multiple priorities in a fast-paced environment
• Strong interpersonal skills with the ability to collaborate with cross-functional teams