Data Analyst / Data Scientist

Experience with enterprise data analytics, data engineering, Microsoft SQL databases, business intelligence environments, and data warehousing solutions. Ability to demonstrate critical and holistic thinking. The ability to collaborate with cross-functional teams Strong SQL skills and data modeling for analytics. Experience developing and supporting ETL/ELT pipelines using Microsoft ADF, and other data transformation processes. Experience with data cleansing, profiling, validation, and data-quality management. Experience developing reports, dashboards, and data visualizations. Experience with data lakes or other centralized data repository, cloud data platforms, data warehouses, or similar enterprise data architecture. Experience implementing data governance, data security, access control, and data pipelines. Strong analytical, troubleshooting, documentation, and problem-solving skills. Ability to communicate technical data concepts effectively to both technical and business audiences. Python or other scripting/programming language experience strongly preferred. Experience with APIs, and enterprise data integration technologies. Experience with Power BI, Teams, SharePoint preferred. Strong collaboration skills and ability to work effectively across IT and business departments. Ability to manage multiple priorities and work independently. Experience working with transportation, logistics, supply chain, or freight data preferred. Experience working with AI and ML preferred. Curiosity and willingness to continuously learn new technologies, analytical techniques, and business processes.

Bachelor's degree in Data Science, Computer Science, Information Technology, Statistics, Mathematics, Business Analytics, or a related field. Equivalent combinations of education and relevant professional experience may be considered. 3+ years of professional experience in data analytics, business intelligence, data science, or a related discipline Experience with enterprise data analytics, data engineering, Microsoft SQL databases, business intelligence environments, and data warehousing solutions. Ability to demonstrate critical and holistic thinking. The ability to collaborate with cross-functional teams Strong SQL skills and data modeling for analytics. Experience developing and supporting ETL/ELT pipelines using Microsoft ADF, and other data transformation processes. Experience with data cleansing, profiling, validation, and data-quality management. Experience developing reports, dashboards, and data visualizations. Experience with data lakes or other centralized data repository, cloud data platforms, data warehouses, or similar enterprise data architecture. Experience implementing data governance, data security, access control, and data pipelines. Strong analytical, troubleshooting, documentation, and problem-solving skills. Ability to communicate technical data concepts effectively to both technical and business audiences. Python or other scripting/programming language experience strongly preferred. Experience with APIs, and enterprise data integration technologies.

Data Analyst / Scientist Oak Harbor Freight Lines is seeking a skilled and highly analytical Data Analyst /Scientist to join our Information Technology team. This role will be responsible for transforming complex operational and business data into meaningful insights that support strategic decision-making, improve operational efficiency, and identify opportunities for continuous improvement. The ideal candidate combines strong technical and analytical capabilities and the ability to communicate complex data in a clear, meaningful way. This individual will partner closely with departments throughout the company to understand business needs, analyze trends, develop data repository, and develop analytical solutions. The position will also support the development of Oak Harbor's overall data and analytics capabilities including hub and spoke architecture, AI-ready data platform, data pipeline, quality data, and automation. Duties and Responsibilities: Analyze, profile, document, clean, validate, transform, and organize enterprise data. Design, develop, support, and troubleshoot ETL/ELT processes that move data from operational systems into a centralized data hub. Develop repeatable processes for acquiring, transforming, storing, and publishing enterprise data. Create and maintain documentation covering data sources, definitions, transformations, dependencies, lineage, and integrations. Identify and resolve data-quality, completeness, consistency, and integration issues. Work with IT Developers, Infrastructure, Application Support, and outside vendors to make application and vendor data available to the enterprise data platform. Support APIs, database connections, data extracts, files, and other approved methods for bringing data into the data hub. Serve as a DataFi (data visualization application) administrator and platform subject-matter expert. Administer the organization's certification process for departmental DataFi developers and citizen developers. Establish and enforce DataFi development, testing, publishing, documentation, security, and governance standards Platform administrator and subject-matter expert for enterprise data visualization platform DataFi and establish appropriate development, testing, deployment, documentation, and production-support standards. Work with business stakeholders and departmental analysts to establish common data definitions, ownership, stewardship, and data-quality expectations Serve as a technical owner and administrator of the enterprise data hub, monitoring nightly data loads, ETL processes, platform performance, data availability, capacity, usage, and security; Ensure production data assets are properly documented, supported, governed, and assigned appropriate ownership Assist in developing reports, dashboards, analytics, and data visualizations using DataFi, Power BI, Teams, and SharePoint. Assist departments in identifying appropriate sources of enterprise data for reports and analytical solutions. Collaborate closely with departmental data analysts to understand business requirements and make governed enterprise data available for departmental use. Assist citizen developers in moving solutions from development into controlled and supportable production environments. Develop and maintain AI ready data platform with security, access control, data governance and compliance in mind Experience, Skills and Qualifications:

Python or other scripting/programming language experience strongly preferred. Experience with APIs, and enterprise data integration technologies. Experience with Power BI, Teams, SharePoint preferred. Strong collaboration skills and ability to work effectively across IT and business departments. Ability to manage multiple priorities and work independently. Experience working with transportation, logistics, supply chain, or freight data preferred. Experience working with AI and ML preferred. Curiosity and willingness to continuously learn new technologies, analytical techniques, and business processes. Benefits: