Business Intelligence Developer
**This is a direct‑hire position with our client. The role is open to candidates local to the Hartford, CT area, or remote/hybrid with monthly travel to Hartford. Applicants must be authorized to work in the U.S. without sponsorship.**
The Business Intelligence Developer partners with business and IT teams to turn data into actionable insights, support reporting and analytics, and advance the organization’s evolution toward AI‑driven decision making. This role focuses on modernizing BI capabilities while maintaining the value of existing reporting and dashboards.
Responsibilities
Develop and maintain BI reports and dashboards that support business decision making
Partner with business stakeholders to understand key questions and define analytical requirements
Translate reporting needs into scalable data and analytics solutions
Support the evolution from traditional BI reporting toward AI‑ and chatbot‑driven insights
Analyze existing reports and address technical and data quality debt
Collaborate with IT, development, and project management teams
Proactively identify opportunities to improve reporting, analytics, and data workflows
Technical Environment
AWS data services such as Glue, Athena, Redshift, DynamoDB, and S3
BI and visualization tools including AWS QuickSight and Microsoft Power BI
Data lakehouse architecture supporting centralized, governed analytics
ETL and data pipeline development aligned with enterprise data standards
AI‑enabled analytics and experimentation to augment or replace traditional dashboards
Source control and development practices using tools such as Git
Qualifications
Experience in business intelligence, data analysis, or analytics roles
Ability to work directly with business users to understand data needs and priorities
Strong analytical and problem‑solving skills
Experience creating reports, dashboards, or data visualizations
Comfort working in a fast‑moving, evolving environment
Preferred / Nice‑to‑Have Skills
Experience with AWS‑based BI or data platforms
Hands‑on experience with Power BI, QuickSight, or similar tools
Exposure to AI, data strategy, or advanced analytics initiatives
Ability to think beyond static reports toward proactive insights and automation
Experience working with both technical and non‑technical stakeholders
Construction, engineering, or industrial industry exposure
Our Vetting Process
At Emergent Staffing, we work hard to find the people who are the right fit for our clients. Here are the steps of our vetting process for this position:
Application (5 minutes)
Online Assessment (40-60 minutes)
Initial Video Interview (30-45 minutes)
Client On-site Interview (60 minutes)
Job Offer!
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