Data Analytics Engineer

Haynes International; Kokomo (IN); On-site; USD 120,000 - 150,000; Full time

Job summary

Haynes International in Kokomo, Indiana is seeking an Analytics Engineer to design, implement, and maintain data pipelines, analytics systems, and reporting solutions that empower business insight. You will model raw data into clean, tested datasets for a data warehouse, collaborate with stakeholders, and ensure data governance, quality, and secure access.

The ideal candidate has strong SQL, ETL, data modeling experience, and proficiency with Power BI or similar tools to deliver reliable

Qualifications

• Bachelor’s degree in computer science, data science, or related field.
• Extensive experience in data analytics and data engineering (≥5 years).
• Strong SQL and data warehousing expertise.
• Experience with ETL processes and data governance.

Responsibilities

• Delivers well-defined, transformed, tested, documented, and code-reviewed datasets for analysis.
• Builds data aggregation pipelines using SQL, .NET, Targit, Power BI.
• Creates robust data models and architectures to support analytics initiatives.
• Collaborate with business stakeholders to understand their analytics needs and deliver comprehensive reports, dashboards, and models.
• Identifies and implements optimizations to continually enhance query performance, reduce processing time, and increase overall productivity.
• Designs, develops and maintains data pipelines to ensure efficient and reliable ETL processes.
• Implements and maintains analytics systems, data warehouses, or data lakes to store and manage structured and unstructured data.
• Creates and maintains dashboards, visualizations, and reports using tools such as Targit & Power BI to enable data-driven decision-making.
• Collaborates with Data Analytics Manager to incorporate Power BI and data governance across the organization.
• Ensures data quality and accuracy by implementing data validation, monitoring, and error-handling processes.

Skills

SQL

Data warehousing

Power BI

Targit

Ignite

Azure

C++

.NET

ETL

Data modeling

Data analysis

Data governance

Data quality

Communication

Scripting

Education

Bachelor’s degree in computer science, data science, software engineering, or related field

Tools

Targit

Ignite

Power BI

Azure

Job description

About the Opportunity:

The analytics engineer makes sure data is ingested, transformed, scheduled, and ready to be used for analytics. This role is responsible for designing, implementing, and maintaining data pipelines, analytics systems, and reporting solutions. The analytics engineer also models raw data into clean, tested, and reusable datasets to allow business stakeholders to view and understand data in a warehouse or database.

Qualifications (Required & Preferred):

Education: A bachelor’s degree in computer science, data science, software engineering, or related field (R)

Experience: At least five years of experience in data analytics, data engineering, software engineering, or a similar role (R); Expertise in data modeling, ETL development, and data analysis (R)

Skills: Strong ability in SQL for data extraction and manipulation, and proficiency in data warehousing concepts/tools such as Targit, Ignite, and Power BI; Familiarity with cloud-based data platforms such as Azure for data storage and processing; Substantial programming ability using languages/tools such as C++ & .NET for data manipulation and scripting; Solid understanding of relevant data governance, data quality, and data security best practices; Strong problem-solving skills, and the ability to think critically and analytically; Knowledge of ETL processes, data integration, and data warehousing concepts.; Familiarity with data visualization tools such as Targit & Power BI; Knowledge of upgrading data systems like Targit; Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders (all R).

Role Responsibilities:

• Delivers well-defined, transformed, tested, documented, and code-reviewed datasets for analysis
• Builds data aggregation pipelines using SQL, .NET, Targit, Power BI
• Creates robust data models and architectures to support analytics initiatives
• Collaborate with business stakeholders to understand their analytics needs and deliver comprehensive reports, dashboards, and models
• Identifies and implements optimizations to continually enhance query performance, reduce processing time, and increase overall productivity
• Designs, develops and maintains data pipelines to ensure efficient and reliable ETL processes
• Implements and maintains analytics systems, data warehouses, or data lakes to store and manage structured and unstructured data
• Creates and maintains dashboards, visualizations, and reports using tools such as Targit & Power BI to enable data-driven decision-making
• Collaborates with Data Analytics Manager to incorporate Power BI and data governance across the organization
• Ensures data quality and accuracy by implementing data validation, monitoring, and error-handling processes