Jr. Analytics Engineer

KEEN Footwear•Portland, OR
•Hybrid

About The Position

The Jr. Analytics Engineer is an entry-level role that supports the development and maintenance of data solutions that empower business decision-making and reporting across the organization. This role combines technical curiosity with a strong interest in data modeling, ETL development, and data quality. The role has the opportunity to learn and grow within a collaborative data team. Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties responsibilities and activities may change at any time with or without cause.

Requirements

  • Bachelor's Degree in a quantitative or technical field (e.g., Data Analytics, Computer Science, Information Systems, Business) or equivalent experience required.
  • Demonstrated experience working with data through internships, coursework, or personal projects.
  • Any equivalent combination of experience and education which clearly indicates the ability to perform the essential functions of the position may substitute on a year for year basis.
  • Foundational knowledge of SQL and interest in developing technical skills in data querying and transformation.
  • Familiarity with data modeling and data visualization tools (e.g., Power BI, Tableau).
  • Exposure to scripting languages such as Python.
  • Strong analytical thinking and problem-solving skills.
  • Effective communication and collaboration skills.
  • Enthusiasm for a career in data engineering, analytics, or business intelligence.

Responsibilities

  • Assists in building and maintaining efficient and reliable data pipelines using SQL and ETL tools.
  • Supports integration, transformation, and validation of data from multiple sources.
  • Contributes to the development and maintenance of data models that support reporting and business intelligence use cases.
  • Assists in the creation and support of data visualizations and dashboards using BI tools (e.g., Power BI, Tableau).
  • Collaborates with analysts, stakeholders, and data owners to gather and define data requirements.
  • Helps monitor and ensure data quality and accuracy through validation routines and troubleshooting.
  • Supports automation and scripting tasks to enhance data workflows and operational efficiency.
  • Participates in documenting data processes, business logic, and workflows for internal use and knowledge sharing.
  • Learns and applies best practices in data governance, version control, and analytics engineering workflows.
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