Analytics Engineer

Hecla Mining Company

Analytics Engineer at Hecla transforming ad-hoc Excel reporting into a unified data platform. Designing and maintaining Microsoft Fabric semantic models with a focus on enterprise metrics.

Posted 6/3/2026full-timeRemote • Idaho • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudERPSQL

About the role

Key responsibilities & impact

Design and maintain production-grade Microsoft Fabric semantic models that serve as the single source of truth for enterprise metrics
Define, document, and enforce KPI and metric definitions in collaboration with operational and finance stakeholders
Build clean, reusable DAX measures and optimized data model relationships across fact and dimension structures
Design and deliver analysis-ready data structures that translate warehouse data into formats optimized for reporting and decision-making
Partner with data engineers to align pipeline outputs with semantic layer requirements, ensuring data arriving from upstream processes meets the structure and quality needed for governed reporting
Establish and enforce naming conventions, measure governance standards, and row-level security patterns
Audit available operational datasets against business decision needs, identifying gaps and defining requirements for upstream pipeline development.
Manage the lifecycle of metric definitions including versioning, deprecation, and change communication to downstream report consumers.
Document semantic models and provide guidance to Power BI developers consuming them
Stay current with the Microsoft Fabric and Power BI ecosystem and help shape platform evolution.

Requirements

What you’ll need

3+ years of experience designing and deploying semantic models or BI data models in production environments
Analytical mindset; ability to challenge requirements and ensure the right business questions are being answered
Demonstrated ability to translate ambiguous business requirements into governed, reusable metric definitions
Strong communication skills with non-technical audiences
Strong DAX skills with deep understanding of filter context, measure reuse, and model performance optimization
Solid SQL fundamentals and experience designing star schema or medallion-layer data structures
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience.
Preferred Qualifications Mining, manufacturing, or process industry background
Experience with Microsoft Fabric, including Lakehouses, Warehouses, and Dataflows Gen2
Familiarity with layered data architecture patterns such as medallion architecture (bronze/silver/gold) or equivalent staging and transformation frameworks
Microsoft Power BI PL-300 certification or DP-600 Fabric Analytics Engineer certification
Experience with dbt or other transformation frameworks for gold-layer modeling.
Familiarity with data governance tooling such as Microsoft Purview.
Familiarity with IFS Cloud or similar ERP analytical layers.
Experience working alongside or inheriting work from external consultants.
Demonstrated ability to leverage AI tools and emerging technologies to accelerate analytics development.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

DAXSQLsemantic modelsBI data modelsdata model optimizationstar schemamedallion architecturedata governancedata transformation frameworksmetric definitions

Soft Skills

analytical mindsetstrong communication skillsability to challenge requirementstranslating business requirementsguidance to developerscollaboration with stakeholderschange communicationauditing datasetsidentifying gapsversioning management

Certifications

Microsoft Power BI PL-300DP-600 Fabric Analytics Engineer