Position Title: Power BI Analytics Developer

Location: Corporate IT Department Coeur d’Alene or remote (Canada, US West of Rockies – AK, ID, WA, OR, MT, WY, CO, UT, AZ, NV, CA)

Reports To: Vice President of IT

Position Summary:

Hecla is transforming current ad-hoc Excel-based reporting into a unified data platform serving our active mine sites. We need a Power BI Analytics Developer to design, develop, and maintain business intelligence solutions using Microsoft Power BI, working closely with stakeholders to transform data into meaningful insights that drive strategic decision‑making.

Essential Functions and Responsibilities of the Position:

• Design and deliver production‑grade Power BI dashboards and reports across a wide range of business domains
• Connect and model data from diverse sources, including SQL Server, ERP systems, industrial platforms, and cloud services
• Build robust data models with clean DAX measures and optimized Power Query transformations
• Conduct exploratory analysis on large datasets to surface trends, anomalies, and opportunities not yet being tracked
• Partner with stakeholders to translate domain knowledge into actionable analytics requirements
• Document analytics solutions and provide training to end users
• Stay current with the BI ecosystem and help shape platform evolution
• Support development of analytics capabilities across business units.

Qualifications:

• 3+ years of Power BI development experience with production deployments
• Strong DAX and Power Query (M) skills, with an understanding of performance‑optimized models
• Solid SQL fundamentals and experience querying relational databases
• Analytical mindset; ability to challenge requirements and ensure the right questions are being answered
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience
• Strong communication skills with non‑technical audiences

Preferred Qualifications

• Mining, manufacturing, or process industry background
• Microsoft Power BI PL‑300 certification
• Python or R for statistical analysis or data preparation
• Demonstrated ability to leverage AI tools and emerging technologies to accelerate analytics development

Work Requirements

• Travel: 10-20% of travel may be required, depending on business need.
• Work Schedule: Standard business hours with flexibility for different time zones.