Business Data Analyst

Responsibilities:Digital Solution Development and Documentation:·       Independently develop, deploy, and maintain digital solutions using appropriate platforms —Microsoft Power Platform, Smartsheet, and Dataiku (including ETL/data pipelines, machine-learning models, and hosted web applications) — based on stakeholder requirements.·       Conduct User Acceptance Testing (UAT) to ensure solutions are effective, reliable, and user-friendly.·       Incorporate user feedback to enhance system functionality and performance.·       Create clear troubleshooting guides, technical documentation, and user documentation to support long-term sustainability and seamless handover.Solution Support and Troubleshooting:·       Provide ongoing support for the existing portfolio of digital solutions, diagnosing and resolving issues to minimize disruption to site operations.·       Perform root-cause analysis on recurring issues and implement sustainable fixes rather than temporary workarounds.·       Maintain and enhance existing solutions as business needs, data sources, and platforms evolve.Data Analysis and Modeling:Perform ad-hoc and exploratory data analyses to address complex business challenges and support strategic initiatives.Identify key trends and insights from data to drive data-informed decision-making.Perform statistical analysis and build data-science/machine-learning models on manufacturing and process data to derive meaningful insights that guide decision-making.AI-Enabled Solution Development:·       Explore and apply AI to develop and enhance solutions for stakeholders, including GenAI/LLM-based applications (e.g., assistants and document Q&A) and machine-learning models.·       Leverage AI-assisted development tools to accelerate solution build, testing, and documentation.Data Management and Governance:·       Partner with relevant cross-functional teams to ensure data analytics solutions align with business objectives and comply with data quality and governance standards.·       Develop standardized processes for maintaining consistent data definitions, sources, and quality.·       Design and optimize extraction processes to consolidate data from multiple source systems.Communication, Stakeholder Management and Training:·       Communicate effectively with management and stakeholders to gather requirements, align expectations, and present progress updates, findings, and recommendations.·       Deliver training sessions to end users to ensure smooth adoption and usage of digital solutions.Job Qualifications (Minimum Requirements):Education:·       A Bachelor’s degree in any field is required.·       Certification in business data analysis, data science, or a related discipline is an advantage.Essential Skills, Experience, and Competencies:·       Proficiency in data analysis and digital tools including Microsoft Power Platform(PowerApps, Power Automate, Power BI), Smartsheet, Dataiku, SQL, and Python is required.·       Experience in developing and delivering digital dashboards, reports, and web applications to enhance operational efficiency is required.·       Familiarity with AI tools and applications — including GenAI/LLM solutions, machine learning, and AI-assisted development — is required.·       Demonstrated ability to work independently to deliver end-to-end solutions for stakeholders is required.·       Strong analytical, data interpretation, and data mining skills are required.·       Demonstrated technical competency and relevant experience in business analytics are required.·       Knowledge or experience in manufacturing processes, GMP, and related IT/OT systems is preferred.·       Project management experience preferred.