Data Analytics Engineer

Haynes International is seeking a Data Analytics Engineer to join the on-site team in Kokomo, Indiana. The role focuses on turning raw data into reliable, analysis-ready datasets and building the pipelines, analytics systems, and reporting solutions that empower business stakeholders. A bachelor’s degree in computer science, data science, software engineering, or a related field and at least five years of relevant experience are typically required.

Responsibilities

• Deliver datasets that are transformed, tested, documented, and ready for analysis, with code reviews as part of the process.
• Construct data aggregation pipelines using SQL, .NET, Targit, and Power BI.
• Develop robust data models and architectures to support analytics initiatives.
• Collaborate with business stakeholders to understand analytics needs and provide comprehensive reports, dashboards, and models.
• Identify and implement optimizations to enhance query performance, reduce processing time, and boost productivity.
• Design, develop, and maintain data pipelines to ensure efficient and reliable ETL processes.
• Implement and maintain analytics systems, data warehouses, or data lakes to store and manage structured and unstructured data.
• Create and maintain dashboards, visualizations, and reports using tools such as Targit and Power BI to support data‑driven decision making.
• Collaborate with the Data Analytics Manager to integrate Power BI and data governance across the organization.
• Ensure data quality and accuracy by implementing data validation, monitoring, and error‑handling processes.

Requirements

• Bachelor’s degree in computer science, data science, software engineering, or related field.
• At least five years of experience in data analytics, data engineering, software engineering, or a similar role.
• Expertise in data modeling, ETL development, and data analysis.
• Strong SQL skills for data extraction and manipulation, plus familiarity with data warehousing concepts/tools such as Targit, Ignite, and Power BI; familiarity with Azure for cloud data storage and processing.
• Proficiency in programming languages and tools such as C++ and .NET for data manipulation and scripting.
• Solid understanding of data governance, data quality, and data security best practices; strong problem-solving abilities.

Technologies

• SQL
• Targit
• Ignite
• Power BI
• Azure
• C++
• .NET

About the Opportunity

The analytics engineer is responsible for ensuring data is ingested, transformed, scheduled, and ready for analytics. This role designs, implements, and maintains data pipelines, analytics systems, and reporting solutions, while modeling raw data into clean, tested, and reusable datasets that enable business stakeholders to view and understand data within a data warehouse or database.