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Associate Business Intelligence Developer Jobs in Boston, MA

Centerwell

Business Intelligence Engineer

Boston, MA · On-site

$55.50 - $72/hr

Become a part of our caring community The Business Intelligence Engineer solves complex business ... Associate benefits are designed to encourage personal wellness and smart healthcare decisions for ...

Centerwell

Senior Business Intelligence Engineer

Boston, MA · On-site

$113K - $155K/yr

The Senior Business Intelligence Engineer's work assignments involve moderately complex to complex ... Associate benefits are designed to encourage personal wellness and smart healthcare decisions for ...

WilmerHale

Senior Business Intelligence Engineer

Boston, MA

$55.25 - $71.75/hr

Experience with Devops version control and CI/CD for BI assets * Ability to configure and manage CI ... Translation of business questions and requirements into reports, views, and SQL queries * Expert ...

WilmerHale

Senior Business Intelligence Engineer

Boston, MA · On-site

$55.50 - $72/hr

Experience with Devops version control and CI/CD for BI assets * Ability to configure and manage CI ... Translation of business questions and requirements into reports, views, and SQL queries * Expert ...

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All JobsAssociate Business Intelligence Developer JobsAssociate Business Intelligence Developer Jobs in Boston, MA

Associate Business Intelligence Developer information

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How much do associate business intelligence developer jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for associate business intelligence developer in Boston, MA is $47.92, according to ZipRecruiter salary data. Most workers in this role earn between $41.78 and $57.45 per hour, depending on experience, location, and employer.

What are some common challenges faced by an Associate Business Intelligence Developer, and how can they be overcome?

Associate Business Intelligence Developers often encounter challenges such as understanding complex data sources, ensuring data quality, and translating business requirements into technical solutions. Overcoming these challenges typically involves close collaboration with business analysts and stakeholders to clarify needs, continuous learning about data structures, and frequent communication with senior developers for guidance. Embracing best practices in data validation and documentation, as well as utilizing available BI tools efficiently, can also help new associates quickly adapt and deliver valuable insights.

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

AspectAssociate Business Intelligence DeveloperBusiness Intelligence Analyst
Required CredentialsBachelor's in CS, IT, or related field; SQL, BI toolsBachelor's in Business, Analytics, or related; SQL, BI tools
Work EnvironmentDevelopment teams, data warehouses, software projectsData analysis, reporting, strategic decision-making
Employer & Industry UsageTech companies, finance, healthcareCorporate, consulting, retail sectors
Common Search & ComparisonYesYes

The Associate Business Intelligence Developer primarily focuses on developing and maintaining BI tools and dashboards, working closely with data engineers and developers. In contrast, a Business Intelligence Analyst emphasizes analyzing data, creating reports, and providing insights for decision-making. While both roles require similar technical skills and often overlap in tools used, their core responsibilities differ: development versus analysis.

What are Associate Business Intelligence Developers?

Associate Business Intelligence (BI) Developers are entry-level professionals who help organizations make data-driven decisions by designing, developing, and maintaining BI solutions such as reports, dashboards, and data visualizations. They typically work with data warehouses, databases, and BI tools to extract, transform, and analyze data. Their role involves collaborating with business analysts, data engineers, and other stakeholders to gather requirements and ensure the accurate presentation of business information. This position is a great starting point for those interested in data analytics and business technology.

What are the key skills and qualifications needed to thrive as an Associate Business Intelligence Developer, and why are they important?

To thrive as an Associate Business Intelligence Developer, you need analytical skills, a solid understanding of data modeling, and a degree in computer science, information systems, or a related field. Familiarity with BI tools such as Tableau, Power BI, or SQL-based systems, and sometimes certifications like Microsoft Certified: Data Analyst Associate, are commonly expected. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for translating data into actionable insights. These skills and qualities are crucial for creating accurate, meaningful reports that support informed business decision-making.
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Associate Business Intelligence Developer jobs near you

Business Intelligence Developer

Hollingsworth ＆ Vose

Walpole, MA • On-site

Full-time

Posted 15 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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