Data Analytic Engineer II

Western Reserve Group•Wooster, OH

15h

About The Position

The role supports the company approach to managing data by reinforcing sound data governance practices and establishing consistent, high-quality data products across the organization. It combines hands-on data engineering work with an ability to understand business needs and deliver insights that are practical, reliable, and actionable. A Data & Analytics Engineer II is a resource on the Data Management Team that is responsible for designing, developing, and maintaining enterprise data solutions while also delivering high-quality reports and dashboards for business stakeholders. This position ensures that data pipelines, data warehousing, and analytics assets are reliable, scalable, and aligned with business needs.

Requirements

BS/BA degree in Computer Science, Information Systems, Mathematics, or a related field, or equivalent experience.
5+ years of experience in data engineering, reporting, or business intelligence.
Strong experience writing and performance tuning advanced SQL and working with relational databases.
Experience with data modeling and ETL development.
Experience using business intelligence reporting tools, such as Cognos, Power BI, or Tableau
Strong understanding of data quality, data governance, and analytics best practices.
Excellent organizational skills
Efficient and detail oriented
Ability to communicate effectively with technical and non-technical audiences.
Ability to independently manage multiple priorities and deliver high-quality work.

Responsibilities

Design, build, and maintain data pipelines, data marts, and warehouse structures with medium complexity to support analytic needs.
Develop, optimize, and maintain SQL queries, views, and transformations to ensure efficient and reliable data delivery.
Develop automated data verification in support of data governance policies.
Identify and remediate data quality issues, and gaps through root-cause analysis and process improvements.
Actively participate in data governance and data strategy initiatives.
Create and maintain standard and ad hoc reports, dashboards, and analytics using enterprise data tools.
Gather and document business requirements to build technical analytic and data solutions.
Perform quality assurance testing on analytic and data solutions prior to production release.
Support business users by providing guidance on data usage.
Partner with stakeholders to ensure reports and dashboards effectively support decision-making.