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Business Intelligence Developer Jobs in Providence, RI

USM

EngageOne Notice Developer

Providence, RI · On-site

... Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and ...

USM

Business Analyst

Cranston, RI · On-site

... Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and ...

USM

.NET Developer

Providence, RI · On-site

$48.75 - $64.50/hr

... Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and ...

USM

.Net HL7 Developer

Smithfield, RI · On-site

... Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and ...

USM

.NET Developer_backend

Providence, RI · On-site

... Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and ...

USM

Business Analyst

Cranston, RI · On-site

... Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and ...

USM

EngageOne Notice Developer

Providence, RI · On-site

... Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, ...

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Business Intelligence Developer information

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How much do business intelligence developer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for business intelligence developer in Providence, RI is $54.34, according to ZipRecruiter salary data. Most workers in this role earn between $44.42 and $62.16 per hour, depending on experience, location, and employer.

What is a business intelligence developer?

Business Intelligence Developers are IT professionals who design, develop, and maintain BI solutions that help organizations make data-driven decisions. They create and manage data models, dashboards, and reports using BI tools, and often work with databases to extract, transform, and load data. Their work enables businesses to analyze trends, monitor performance, and gain actionable insights from large volumes of data. BI Developers collaborate closely with business stakeholders and data analysts to ensure the solutions meet organizational needs.

What are some common challenges faced by business intelligence developers when working with large datasets, and how can they be addressed?

Business Intelligence Developers often encounter difficulties when handling large and complex datasets, such as slow query performance, data integration issues, and ensuring data accuracy. To address these challenges, developers typically optimize SQL queries, leverage indexing, and use efficient data modeling techniques. Collaborating closely with data engineers and database administrators can help streamline data pipelines and maintain data quality. Staying updated with the latest BI tools and technologies is also essential for improving overall performance and scalability.

What are the key skills and qualifications needed to thrive as a business intelligence developer?

To thrive as a Business Intelligence Developer, you need strong analytical skills, proficiency in data modeling, and experience with databases, often supported by a degree in computer science, information systems, or a related field. Expertise in BI tools such as Power BI, Tableau, or SQL Server Reporting Services (SSRS), along with knowledge of SQL and ETL processes, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are crucial for transforming complex data into actionable insights that drive strategic business decisions.

What is the difference between Business Intelligence Developer vs Data Analyst?

AspectBusiness Intelligence DeveloperData Analyst
CredentialsBachelor's in CS, IT, or related field; certifications like Microsoft Certified: Data Analyst AssociateBachelor's in Statistics, Math, or related field; certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentDevelops BI tools, dashboards, and reports; collaborates with IT and business teamsAnalyzes data sets, creates reports, and provides insights; works closely with business units
Industry UsageUsed across industries for data visualization and reportingUsed across industries for data analysis and decision support

While both roles focus on data, Business Intelligence Developers primarily build and maintain BI tools and dashboards, whereas Data Analysts focus on analyzing data sets to generate insights. Both roles often collaborate and require similar skills and certifications, making them closely related in the data industry.

More about Business Intelligence Developer jobs
What job categories do people searching Business Intelligence Developer jobs in Providence, RI look for? The top searched job categories for Business Intelligence Developer jobs in Providence, RI are:
Business Intelligence Developer jobs near you
Infographic showing various Business Intelligence Developer job openings in Providence, RI as of August 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $113,026 per year, or $54.3 per hour.

Business Intelligence Developer

Hollingsworth ＆ Vose

Walpole, MA • On-site

Full-time

Re-posted 24 days ago

Job description

Role Purpose
Your job is to turn data into decisions. Hollingsworth & Vose is a global specialty manufacturer with mill operations across the Americas, Europe, and Asia - and the people running those operations, from the mill floor to senior management, need numbers they can trust and analytics they can act on. You build those.
A dashboard is not the outcome. The outcome is a plant manager who catches a margin problem a month earlier, or a finance team that stops arguing about whose number is right. We measure this role by results that matter to the business, not by reports shipped. Trust is the product - you treat it that way.
This is also a role for someone who wants to build with AI, not just read about it. We are embedding AI into how IT delivers - natural-language access to data, automated insights, AI-assisted development - and this role sits at the center of that work.
What You Own
  • Analytics people rely on. Power BI dashboards and reports covering trend, variance, cost, and margin analysis - with drill-through, drill-down, parameters, and dynamic filtering that let people answer their own next question.
  • Semantic models that hold up. Accurate models, measures, and KPIs. Multi-site, multi-currency, imperial/metric - handled correctly, to our site and item naming conventions, every time. If two reports disagree, that's your problem to run down.
  • The data behind the numbers. Strong SQL against Oracle EBS and our MES database to source, validate, and shape data. You verify before you publish - and when a number is wrong, "the source data was bad" is where your job starts, not where it ends.
  • The sales cube. Develop against our central SSAS multidimensional cube (live connection / MDX) for cross-ERP, multi-currency sales and margin analysis.
  • The existing SSRS estate. Maintain and rationalize current SSRS reports while the future state takes shape.
  • AI in production. Build AI features into Power BI and our internal applications - natural-language Q&A, automated insights, anomaly detection, AI-assisted workflows - and use AI tools daily in your own development.
  • The relationship. You listen first. You partner with stakeholders to understand the goal behind the question, and you deliver recommendations, not just charts. Nobody who depends on your work waits in the dark for a status update.
  • Trust in the numbers. Data accuracy, documentation, and version control. Done means running in production, validated against source, documented, and handed off.

The Environment You'll Work In
We're honest about this: it's a real manufacturing systems landscape, not a greenfield. The craft here is turning a complex environment into analytics people trust - if that sounds like work worth doing, you'll like it here.
  • Oracle E-Business Suite - OPM process and discrete manufacturing (recipes, batches, inventory, standard costing), AP/AR/GL, and order management, with significant in-house customization.
  • A manufacturing execution system (MES) - sales orders, machine utilization, mill cost, raw-material consumption, quality metrics, and production scheduling.
  • A central SSAS multidimensional sales cube aggregating data across ERP systems, with multi-currency and standard-vs-actual cost and margin analysis.
  • Reporting today is largely SSRS and Power BI; AI tooling is expanding rapidly.

Required
  • 3-5 years building analytical Power BI reports and dashboards - DAX, semantic modeling, performance tuning, row-level security.
  • Strong SQL with hands-on experience querying Oracle databases.
  • Experience consuming SSAS multidimensional cubes from Power BI, including MDX - not tabular/DAX only.
  • SSRS report development or maintenance experience.
  • Hands-on use of AI tools in your development work (tool-agnostic), and a genuine interest in building AI features into reports and applications.
  • An analytical mindset - you interpret data, spot trends, and frame insight for decision-making.
  • A strong communicator who partners well with non-technical stakeholders and works as part of a team.
  • Comfortable working on-site at a manufacturing mill.

Preferred
  • Oracle E-Business Suite experience, especially OPM process manufacturing.
  • MES experience (Tieto TIPS a plus).
  • Manufacturing or process-industry domain knowledge - costing, recipes, production and quality data.
  • Master data management (MDM) exposure - working with item, customer, or site master data across multiple systems, or contributing to data governance and standardization efforts.
  • Power Query / dataflows, paginated reports, or Microsoft Fabric experience.

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