Analytics Engineer (Remote)

Myriad360•International Falls, MN

4d•Remote

About The Position

The Analytics Engineer reports to the Director of Enterprise Data & Analytics and works closely with business teams, analysts, and data engineers. The role develops governed data models and reusable data products that support reporting and automations, while improving how data products are reviewed, released, and maintained as the company and its data environment grow. The successful candidate turns business questions into reliable, well-structured data, builds and maintains trusted models, investigates issues through to their source, and considers how changes affect downstream users and assets. The position supports datasets and semantic models used in the reporting layer and applications, and helps teams find and understand the data products they need. The role is remote internationally, with working hours aligned to US Eastern time, Monday through Friday, 9 a.m. to 5 p.m. The company emphasizes inclusion, employee development, collaboration, accountability, and an accessible and engaged executive team.

Requirements

Strong SQL skills and experience building production data models.
Hands-on experience with dbt or a comparable transformation framework.
Experience with a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
Strong experience designing dimensional models and data marts.
Experience testing, documenting, and maintaining data models.
Familiarity with Git and collaborative code review and release practices.
Ability to investigate data discrepancies and explain their causes.
Ability to work with business partners to clarify requirements and resolve differences in metric definitions.
Strong communication, documentation, and follow-through.

Nice To Haves

Python for data tasks or automation.
Experience supporting data integration related to mergers and acquisitions.
Experience owning a semantic model.
Master data management experience.
IT, VAR, distribution, or supply chain data experience.

Responsibilities

Build and maintain dbt models and certified data marts for key business domains.
Work with business partners and analysts to turn requirements into clear data definitions, models, and measures.
Establish consistent business logic for shared metrics and dimensions.
Build and maintain data quality tests; investigate failures and trace issues to their source.
Document model purpose, ownership, definitions, dependencies, and known limitations.
Assess downstream effects before changing models, metrics, or source assumptions.
Use Git and established review and deployment practices to release changes safely.
Support the datasets and semantic models used in the reporting layer and applications.
Improve existing models and workflows as business needs and source systems change.
Communicate tradeoffs, dependencies, and delivery risks to technical and business partners.
Complete ongoing security awareness training and comply with company policies.
Identify and escalate security risks to the appropriate Executive Leadership Team member and contribute to remediation efforts.
Perform other duties as assigned.