About this opportunity
Cold Spring Granite lists this Business Intelligence Engineer opportunity in cold spring, Minnesota. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Description
Status: This is a full-time; salaried position
Hours: Monday - Friday: 8am - 5pm
Benefits Offered to Full-time Employees:
Health
Dental
Optical
Medical FSA/HSA
Dependent Care (FSA)
Basic Life Plan
Short Term Disability
Long Term Disability
401K with Company Match
Profit Sharing (ROA)
PTO (Vacation)
Holidays
Jury Duty
Funeral Leave
JOB SUMMARY: The Business Intelligence Engineer is responsible for making Coldspring’s data usable by the business. Coldspring is building a medallion data architecture — a bronze layer of raw source data, a silver layer in our SQL data warehouse, and a gold layer of curated, business-facing data. This position is embedded in our cross-functional BI team, where a project manager handles intake and prioritization, and is responsible for the technical design and delivery of the gold layer, the certified data sources the company relies on, and the KPIs, dashboards, and reporting used to make business decisions. This position also owns our dbt environment and the transformation logic that moves data from bronze, to silver, to gold. Key skills for this position include SQL, dbt, dimensional data modeling, Tableau, and the ability to communicate effectively with non-technical business users.
Coldspring has spent the past two years building the foundation for this role — a working data warehouse sourced from JD Edwards, with a dedicated developer maintaining the integration. The gold layer is greenfield. This is the first position dedicated to making that data usable across the company, so you would be establishing the patterns, the standards, and the certification practice rather than inheriting someone else’s. You would be working with people who know the business well and want better access to their data.
WHAT YOU'LL BE DOING:
Set up, configure, and maintain the dbt environment used to transform Coldspring data
Build and maintain the dbt models that move data from the bronze layer, to silver, to gold, including data quality tests and monitoring
Work with business users, alongside the BI team, to translate business questions into data requirements and deliver answers at the level each requester needs
Design and build the gold layer: curated, business-facing data models, including conformed and pre-joined data sets spanning sales, production, shipping, and other domains
Establish standards for naming, testing, documentation, and version control of transformation code
Publish, certify, and manage the company’s certified data sources, including their names, descriptions, owners, refresh schedules, and the data dictionary and metric definitions behind them
Own the certification standard: what qualifies as certified, how changes are handled, and when a source is retired
Centralize business calculations and metric definitions in the data layer, not in individual reports
Build KPIs, dashboards, and recurring reporting for teams that cannot build their own
Identify data quality and data capture gaps and help resolve them with source system owners
Contribute to the ongoing development of the underlying data warehouse alongside the BI developer
Work as an embedded member of the cross-functional BI team, receiving prioritized work through IT and the team’s project manager, while owning the technical approach and design decisions
Partner with the project manager on scoping and effort estimates for incoming requests
Provide guidance to business users on the certified data sources, including occasional informal training
Requirements
QUALIFICATIONS:
Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field preferred; an associate degree or demonstrated experience may be considered in place of a bachelor’s degree
5+ years of combined experience in business intelligence, analytics engineering, or data engineering roles. Depth in the following matters more than years served: Advanced SQL, including writing, optimizing, and troubleshooting complex queries dbt, including standing up a project and owning model development, testing, and structure (2+ years hands‑on), Dimensional data modeling (facts, dimensions, and grain), Git / source control, and hands‑on front end visualization and dashboard development in a BI platform such as Tableau or Power BI
Experience with several of the following is preferred: Tableau specifically, including publishing and managing certified data sources, data sourced from a transactional ERP system (JD Edwards a plus), layered or medallion data architectures, modern data transformation and testing workflows, python or other scripting for data preparation
Ability to explain technical data concepts to a non-technical audience
Strong collaboration, relationship management, and communication skills
Works with business users to understand the requirements behind a request, and asks questions when they are unclear
Good judgment, logical thinker and detail oriented
Ability to drive projects to completion and flag blockers early
Manufacturing, production, or distribution industry experience preferred
MAKE YOUR MARK AND MAKE IT LAST
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, please call or text Karissa Lintgen at or email Karissa at for assistance.
COLDSPRING IS A VETERAN-FRIENDLY, WELLNESS ORIENTED, TOBACCO-FREE COMPANY.
Coldspring is an affirmative action employer, including Veterans and Individuals with Disabilities.
This is a representation of the position's entire pay grade range. Starting pay is based on an individual’s skills, experience, and at the discretion of the hiring team.
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Worksite address
cold spring, MN, 56320, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.