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# Business Intelligence & Analytics Engineer

- **Company:** UPLAND CAPITAL GROUP INC
- **Location:** United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Microsoft Azure, Business Intelligence Development, Code Review, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Mart, SQL Databases, Snowflake, Software Version Control
- **Published:** September 24, 2026
- **Apply:** https://www.thejobnetwork.com/job/senior-business-intelligence-analytics-engineer-509979380

## About the Role

* Operates with mature technical judgment and strong business acumen
 * Leads others through influence, mentorship, and exceptional communication
 * Thrives in a fast-paced, evolving environment
 * Thinks in systems - comfortable owning platform architecture, not just individual models
 * Drives innovation, standardization, and continuous improvement
 * Sets a high bar for accuracy, documentation, and data governance, * 5+ years of professional experience in analytics engineering, data engineering, data platform development, or a related field
 * Bachelor's degree in related field
 * Insurance industry experience preferred but not required
 * Advanced proficiency in SQL and data modeling
 * Strong expertise with dbt and Snowflake; working knowledge of Python
 * Advanced experience with a modern BI platform; hands-on Sigma Computing experience strongly preferred
 * Demonstrated experience leading complex analytics initiatives with solid problem-solving skills
 * Strong communication skills with both technical and non-technical teammates
 * Bachelor's degree in a technical or quantitative field (or equivalent experience)

## Description

Upland Capital Group is seeking a Senior Business Intelligence & Analytics Engineer to be a technical expert within our growing Data organization. This is a high-impact, hands-on role responsible for continued building and maintaining of our data platform, architecting scalable, well-governed data models, and delivering analytics solutions that directly influence underwriting, claims, and executive decision-making.

You will provide technical mentorship, guide best practices across SQL, dbt, and BI development, and act as a key partner to cross-functional leaders. Senior Engineers at Upland are expected to operate with significant autonomy-owning complex projects end-to-end, elevating data quality standards, and contributing to the long-term design of our data platform., * Design, develop, and maintain core layers of the data platform, including ingestion, transformation, and semantic layers.

 * Support the reliability and timeliness of recurring reporting cycles that depend on the data platform
 * Design, build, and optimize scalable dbt models, data marts, and analytics layers
 * Write, optimize, and review complex SQL with a focus on performance, reliability, and maintainability
 * Build and maintain Sigma data models, workbooks, and self-service analytics solutions
 * Apply engineering rigor - testing, CI/CD, version control - to analytics development
 * Translate complex business requirements into well-designed analytical solutions
 * Lead code reviews, enforce modeling and naming standards, and mentor engineers and analysts on the team
 * Proactively identify and resolve data quality, modeling, and pipeline performance issues
 * Contribute to analytics engineering standards, documentation, and long-term architecture decisions
 * Additional responsibilities as needed

Other Essential Duties include but not limited:

 * Troubleshoot and resolve platform and pipeline issues affecting downstream consumers
 * Follow internal data governance, documentation, and security standards
 * Represent the team in strategic discussions related to process improvements
 * Participate in team retrospectives and process improvements
 * Keep documentation current as dashboards and pipelines evolve
 * Drive cross-functional initiatives to expand the company's data maturity
 * Stay updated on tools used by the team (e.g., dbt, Sigma, Snowflake, Azure)
 * Contribute to a team culture that values clarity, curiosity, and follow-through