Data Analyst / Data Scientist

Oak Harbor Freight Lines•Auburn, WA

15h

About The Position

Oak Harbor Freight Lines is seeking a skilled, analytical Data Analyst / Data Scientist to join its Information Technology team. The role transforms operational and business data into insights that support strategic decisions, improve operational efficiency, and identify opportunities for continuous improvement. The successful candidate will work with departments across the company to understand business needs, analyze trends, develop data repositories, and create analytical solutions. The position supports the development of the company's data and analytics capabilities, including hub-and-spoke architecture, an AI-ready data platform, data pipelines, data quality, and automation. It includes responsibility for the enterprise data hub and the DataFi data visualization platform, as well as collaboration with IT teams, vendors, business stakeholders, and departmental analysts to make governed enterprise data available and usable. The role also assists with reports, dashboards, analytics, and visualizations using DataFi, Power BI, Teams, and SharePoint, and supports citizen developers in moving solutions into controlled, supportable production environments. The AI-ready data platform must be developed with security, access control, governance, and compliance in mind.

Requirements

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.
At least 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.
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 repositories, 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 technical and business audiences.
Ability to demonstrate critical and holistic thinking and collaborate with cross-functional teams.
Strong collaboration skills and ability to work effectively across IT and business departments.
Ability to manage multiple priorities and work independently.
Curiosity and willingness to continuously learn new technologies, analytical techniques, and business processes.

Nice To Haves

Python or other scripting/programming language experience.
Experience with APIs and enterprise data integration technologies.
Experience with Power BI, Teams, and SharePoint.
Experience working with transportation, logistics, supply chain, or freight data.
Experience working with AI and machine learning.

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.
Document 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.
Administer the DataFi data visualization application and serve as its platform subject-matter expert.
Administer the certification process for departmental DataFi developers and citizen developers.
Establish and enforce DataFi development, testing, publishing, deployment, documentation, security, governance, and production-support standards.
Work with business stakeholders and departmental analysts to establish common data definitions, ownership, stewardship, and data-quality expectations.
Serve as 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 documented, supported, governed, and assigned appropriate ownership.
Assist in developing reports, dashboards, analytics, and data visualizations using DataFi, Power BI, Teams, and SharePoint.
Help departments identify appropriate enterprise data sources for reports and analytical solutions.
Collaborate 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, supportable production environments.
Develop and maintain an AI-ready data platform with security, access control, data governance, and compliance in mind.

Benefits

Medical, dental, and vision plans, with plan choice for employees and their families.
Single-person coverage costs 0% up to 2% of gross income; entire-family coverage costs 0% up to 4% of gross income.
401(k) with 100% match up to 5% of employee contributions.
80 hours of PTO within the first 11 months.
Holiday pay after 90 days.
Company-paid life insurance.

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