Bachelor's degree in Computer Science, Data Science, or a related field.
Strong experience with Azure Data Factory and/or Boomi for data pipeline integration.
Proficiency in SQL and experience with Azure SQL Database.
Hands-on experience with Power BI for analytics and semantic models.
Programming skills in Python with applications to data and AI use cases.
Experience in applying AI/ML techniques to business problems.
Strong analytical thinking and problem-solving abilities.
Responsibilities
Design and maintain scalable data pipelines with Boomi and Azure Data Factory.
Develop and manage data models in Azure SQL and MS Fabric environments.
Ensure data quality and performance across systems and models.
Develop Power BI dashboards that provide insights to stakeholders.
Partner with business teams to translate questions into analytical solutions.
Identify and deliver AI/ML solutions for business operations.
Collaborate with IT and DevOps to align solutions with security standards.
Benefits
Promote self-service analytics with well-designed datasets and governance.
Explore and pilot new technologies for business value.
Contribute to a culture of data-driven decision-making and continuous improvement.
Full Job Description
Responsibilities Include but Are Not Limited To:
Data Engineering & Analytics Platform
Design, build, and maintain reliable, scalable data pipelines using Boomi and Azure Data Factory to integrate data from ERP, EHS, operational, and corporate systems.
Develop and manage curated data models in Azure SQL and future MS Fabric environment lake house or warehouse architectures to support analytics, AI, and reporting use cases.
Ensure data quality, consistency, and performance across pipelines, models, and downstream consumers.
Contribute to data architecture standards, patterns, and best practices as ONI evolves toward Microsoft Fabric.
Analytics & Reporting
Develop and maintain Power BI semantic models, dashboards, and reports that deliver actionable insights to executives and business teams.
Partner with stakeholders to translate business questions into metrics, KPIs, and analytical solutions.
Promote self-service analytics through well-designed datasets, documentation, and governance.
AI, Machine Learning & Agentic Workflows
Identify, prototype, and deliver AI and machine learning solutions that improve decision-making, forecasting, anomaly detection, classification, and automation.
Design and implement agentic workflows that combine data, analytics, and AI models to automate multi-step business processes, decision support, and operational actions.
Leverage Azure-based AI services and emerging Fabric capabilities (e.g., notebooks, ML, real-time intelligence) to operationalize AI solutions.
Act as an internal advocate and advisor on responsible AI adoption, helping business units understand practical and strategic AI opportunities.
Collaboration & Delivery
Collaborate with IT, security, and DevOps teams to ensure solutions align with enterprise standards for security, compliance, and reliability.
Partner with affiliate companies and cross-functional ONI teams as a resource on key initiatives.
Prioritize, scope, and manage data and AI initiatives with clear success metrics and business outcomes.
Continuous Improvement & Innovation
Explore, evaluate, and pilot new data, analytics, and AI technologies with a bias toward business value.
Contribute to a culture of data-driven decision-making, experimentation, and continuous improvement across ONI.
Required Skills, Abilities and Education:
Bachelor's degree or higher in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related field.
Strong experience building and supporting data pipelines and system integrations, preferably with Azure Data Factory and/or Boomi.
Proficiency in SQL and relational data modeling; experience with Azure SQL Database or similar platforms.
Hands-on experience developing and maintaining analytics and semantic models using Power BI.
Programming experience in one or more languages such as Python (including notebooks), with the ability to apply them to data engineering, analytics, and AI use cases.
Experience applying AI/ML techniques to real-world business problems, including model development, evaluation, and operationalization.
Strong analytical thinking, problem-solving, and attention to detail.
Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
Self-driven, curious, and comfortable working in a dynamic, evolving technical environment.
Desirable Skills, Abilities and Education:
Experience or strong interest in Microsoft Fabric, including lake house, warehouse, notebooks, real time analytics, and AI workloads.
Familiarity with agentic AI patterns, workflow orchestration, and automation platforms.
Experience supporting enterprise data platforms in regulated or security conscious environments.
Understanding of modern data architecture concepts (ELT, semantic layers, governance, lineage).
Experience working within large, distributed organizations or multi affiliate environments.
Strong customer focused mindset with the ability to manage expectations and build trusted partnerships.
