Business Intelligence Engineer

Cold Spring Granite Company•Cold Spring, MN

13h•$76,471 - $90,813•Onsite

About The Position

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.

Requirements

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.
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
Hands-on front end visualization and dashboard development in a BI platform such as Tableau or Power BI
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

Nice To Haves

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
Manufacturing, production, or distribution industry experience preferred

Responsibilities

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