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We value passion, energy, and enthusiasm to ignite transformation in our industry. Start your career journey with ChemPoint! Be part of our team that is transforming the chemical, ingredient, and industrial finished products industry. Primary Purpose: The primary purpose of the Analytics Engineer is to design, build, and optimize analytics data solutions that enable trusted insights and data-driven decision making. This role bridges business needs and data capabilities by translating analytical requirements into scalable data models, transformations, and metrics. As a subject matter expert within their domain, the Analytics Engineer partners closely with business stakeholders, product owners, and technology teams to understand data and reporting needs, develop analytical solutions, and ensure data accuracy, performance, and reliability. The role ensures that analytics and data changes are implemented efficiently, minimize disruption to business operations, and support ongoing optimization of systems and processes. What You'll Do: Data Development Develops and optimizes SQL-based transformations, analytical datasets used by dashboards, self-service analytics, and downstream applications. Designs and maintains core business metrics and KPIs, ensuring consistent definitions, traceability, and alignment with business processes. Analyzes data and analytics outputs to identify root causes, data quality issues, and process inefficiencies, partnering with stakeholders to drive resolution. Measures analytics system performance and data quality against defined standards, proactively identifying opportunities to improve reliability, scalability, and usability. Creates and maintains data documentation, including data models, metric definitions, transformation logic, and lineage. Supports analytics testing by developing data validation checks, reconciliation logic, and test scenarios to ensure accuracy and completeness. Participates in and supports user acceptance testing (UAT) for analytics solutions and reporting enhancements. Implements routine analytics platform and data model improvements to reduce technical debt and improve maintainability. Assists leadership in evaluating data and analytics risks, including data integrity, performance, scalability, and downstream impact. Develops and documents mitigation strategies for identified data and analytics risks. Analytics Design & Planning Translates business objectives into analytics-ready data models, metrics definitions, and analytical solutions that enable trusted reporting and insights. Partners closely with Product Owners, Analytics Leaders, and business stakeholders to design, build, and evolve analytics solutions from concept through production and ongoing optimization. Reviews analytics and reporting requirements, identifies data, transformation, and modeling needs, and produces specifications to support scalable analytics development. Collaborates with data architects, data engineers, and BI developers to ensure data pipelines, models, and semantic layers meet functional requirements and performance standards. Acts as a liaison between business and technical teams to clarify analytical needs, resolve data challenges, and adapt solutions as requirements evolve. Supports analytics backlog grooming and prioritization, ensuring work is aligned to business value, data readiness, and platform standards. Analytics Enablement & User Support Develops analytics enablement materials such as metric definitions, reporting guides, and data usage documentation. Provides training and knowledge-sharing sessions using multiple formats (workshops, office hours, documentation, one-on-one support) to improve data literacy and self-service adoption. Supports end users by troubleshooting data and reporting issues, coordinating with data engineering or platform teams as needed, and