Business Intelligence Developer (fully on-site, Connecticut)

Data Inc
Newington, United States of America
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 72K

Job location

Newington, United States of America

Tech stack

.NET
Artificial Intelligence
Data analysis
Azure
C Sharp (Programming Language)
Information Engineering
Data Integration
ETL
Data Systems
Data Visualization
Data Warehousing
Relational Databases
Database Development
Revision Control Systems
Microsoft Visual Studio
Microsoft SQL Server
Performance Tuning
Power BI
Service Development Studio
SQL Stored Procedures
Data Analytics
Tools for Reporting
Software Version Control

Job description

Data-Mail is seeking a Business Intelligence Developer to design, develop, and support data solutions that transform operational and financial data into actionable insights. This role will work primarily within the Microsoft development stack, leveraging Power BI, SQL Server, and C#/.NET using Visual Studio to build dashboards, reporting solutions, and supporting services., Business Intelligence & Reporting

  • Design, develop, and maintain Power BI dashboards and reports to support operational, financial, and executive reporting
  • Build and optimize Power BI semantic models, DAX measures, and data visualizations
  • Work with stakeholders to translate business requirements into scalable BI solutions

Data Engineering & SQL Development

  • Develop and optimize SQL Server queries, views, stored procedures, and ETL processes
  • Ensure data accuracy, performance, and reliability across reporting systems
  • Troubleshoot data issues and proactively improve data quality and consistency

Application & Service Development

  • Develop supporting C#/.NET components and services used in data integration, automation, or reporting workflows
  • Maintain and enhance existing internal tools using Visual Studio
  • Integrate BI solutions with internal systems and production platforms

Collaboration & Process Improvement

  • Partner with business users to understand workflows and identify reporting opportunities
  • Document BI solutions, data definitions, and technical designs
  • Follow best practices for version control, testing, and deployment

Requirements

  • Strong experience with Power BI (datasets, reports, DAX, Power BI Service)
  • Advanced SQL Server skills, including performance tuning and complex query development
  • Experience developing in C#/.NET using Visual Studio
  • Solid understanding of relational data modeling and reporting best practices
  • Ability to communicate technical concepts to non-technical stakeholders
  • Minimum of five (5) years of relevant experience in business intelligence, data analytics, or related roles, * Experience in manufacturing, production, logistics, or operations-driven environments
  • Strong understanding of finance and job-costing concepts, with experience analyzing job-level profitability, cost drivers, and financial performance in an operational or production environment
  • Experience with or interest in leveraging AI-assisted tools (e.g., copilots, code assistants, or analytics features) to improve productivity, data analysis, or development workflows
  • Familiarity with ETL tools, data warehousing concepts
  • Experience working with large or complex transactional datasets
  • Knowledge of source control systems (e.g., Azure DevOps)

Pay: $59,644.86 - $71,830.38 per year

Benefits & conditions

401(k), Health insurance, 401(k) matching, Paid time off, Vision insurance, Health savings account, Dental insurance, Life insurance, * 401(k)

  • 401(k) matching
  • Dental insurance
  • Employee assistance program
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Vision insurance

About the company

Data-Mail is a large, full-service direct mail lettershop providing end-to-end mail production services for clients nationwide. We operate complex, high-volume production environments and rely on accurate, timely data to drive operational efficiency, quality, and decision-making across the organization.

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