Business Intelligence Engineer

The ideal Business Intelligence Engineer (BIE) candidate possesses foundational knowledge spanning data engineering, science, and business analysis. The BIE specializes in data lineage: including the technical systems by which data is generated, how metrics are aggregated, and the extraction and intuitive visualization of deep insights from data.

The candidate must be conversant in both technical and business language, as problems may be loosely defined or structured. Strong communication skills are essential, with equal ability to work with software development engineers and business owners. The role requires functioning with a high level of autonomy, solving challenging problems, and identifying paths to overcome roadblocks.

The BIE gathers product requirements from stakeholders and iterates on feedback from internal end-users. The BIE reverse-engineers existing processes and products to support cross-platform migration efforts.

The position requires a passion for automation and clean, streamlined process design, drawing upon advanced analytical, critical thinking, and problem-solving skills, along with software development experience and an aptitude for creating maintainable, highly reliable, distributed systems.

• Proficiency with Smartsheet Premium Features (Data Table, Dynamic View, Data Shuttle, Salesforce Connector, etc.)
• Experience with CRMs (Salesforce preferred – SOQL/Lightning report opportunities)
• Experience with scripting languages for data processing and modeling (e.g., Python)
• Experience with statistical analysis packages such as R, SAS, or Matlab
• Experience analyzing and interpreting data using Redshift, Oracle, No
  
  SQL etc.
• Experience in construction or engineering industries
• Experience in technical documentation, including maintaining SOPs, learning & training documentation, user best-practice guides, and PR/FAQs
• Experience with Geo-spatial analytics and software (e.g., ArcGIS)

Mid-Senior level

Full-time

IT Services and IT Consulting