Top Business Intelligence Engineer Jobs in Boston, MA

Design, develop, and maintain Snowflake-based enterprise data models, semantic layers, ETL/ELT pipelines, and dashboards using Retool/Power BI. Partner with stakeholders to deliver analytics, automate reporting with Python/JavaScript/SQL, enforce data governance and quality, and support scalable reporting and documentation.

Design, develop, test, and operate large-scale BI solutions (reports, dashboards, data models) using Power BI and Azure Synapse. Gather requirements, translate business needs into data models, tune performance, collaborate with BI architects on POCs, and maintain stakeholder communication.

The Power BI Developer will build enterprise data models using Power BI, develop self-service analytics, and assist business users with requirements while ensuring application security. The role requires collaboration with government personnel and technical expertise in Azure and SQL.

Design and build Power BI reports and SSRS reports, write advanced SQL to extract and validate data, create scalable data models, investigate trends, automate reporting processes, and collaborate with business partners to translate requirements into usable analytics solutions.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Architect and scale a governed BI and analytics platform (Snowflake, dbt, Sigma) to deliver trusted, standardized KPI frameworks and semantic layers. Build high-quality data models, optimize SQL for large datasets, enable self-serve analytics, mentor engineers, drive governance and testing standards, and partner with Product, Data Science, Finance, and business teams. Promote AI-assisted tooling to accelerate analytics delivery and improve metric trust and reporting consistency.

Build and maintain dbt data models, semantic layers, quality checks, and metric definitions. Own QuickSight architecture and administration, including datasets, refreshes, access controls, performance, AI features, and the Mode migration. Develop payor outcomes reporting, ensure data accuracy for analytics agents, and partner with data science, clinical, and business stakeholders on AI-native BI infrastructure.

Design and build BI solutions and dashboards, perform data analysis and SQL development, apply data governance and security, and lead requirements gathering and project coordination to drive process improvement and reporting accuracy across the health system.

The Epic Business Intelligence Developer creates analytics content for Epic data, configures applications, writes SQL reports, and manages data models and analytics catalogs.

The Power BI Developer designs and deploys interactive reports and dashboards, collaborates with stakeholders, ensures data quality, and optimizes reporting performance.

The Power BI Developer designs, develops, and deploys interactive reports and dashboards using Power BI, ensuring data quality and providing BI solutions to support decision-making.

Build and optimize Power BI reports, dashboards, and semantic models. Partner with stakeholders and Data Engineering (Microsoft Fabric) to transform data into insights, use Copilot Studio for AI-enabled reporting, improve performance/governance, support Excel-heavy reporting, and assist project management to maintain contractual compliance.

Develop, maintain, and optimize Microsoft SQL Server databases and ETL processes; build OLAP schemas, SSRS reports and BI visualizations (Tableau/Power BI); administer DB security, backups, performance tuning, and deployments; support application back-end troubleshooting, gather business requirements, and participate in SDLC and disaster recovery planning.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

Develop and deliver Power BI dashboards, semantic models, and reports. Partner with stakeholders to gather requirements, support data modeling and transformation, ensure data quality and governance, troubleshoot BI platform issues, enable self-service analytics through training and documentation, and provide user support.

Build and maintain BI dashboards and KPI reporting for manufacturing, supply chain, quality, and fulfillment. Create internal tools and workflow automations, integrate APIs and business systems, and consolidate ERP/MES/PLM data into unified operational reporting tied to recurring decisions.

Support and develop BI applications for a client financial platform across environments. Build reports, analytics, and budgeting solutions (TM1), develop/tune Oracle SQL/PLSQL, deploy BI tooling, support UIs (low-code), follow Agile practices, and collaborate on integrations, security hardening, and operations.

Design, develop, and maintain enterprise Power BI dashboards and reports. Integrate data from SQL Server, Azure, Excel and other sources, perform data modeling and DAX calculations, validate data, and document data models and reporting logic while partnering with business stakeholders.

Design, maintain, and automate GTM business data models, ensure data quality and observability, build BI-as-code pipelines (CI/CD, Git), create visualizations, and partner with Sales, Marketing, Finance, and Product to enable reliable reporting, analytics, and AI capabilities.

Design, build, and maintain GTM data models, automated data quality checks, and BI-as-code pipelines. Deliver sales and executive analytics, visualizations, and partner with cross-functional teams to ensure trusted metrics and drive continuous improvement toward AI-ready reporting.

Design, develop, and deploy Power BI reporting and analytics on Snowflake. Migrate OBIEE reports to Power BI, build data models and ETL/ELT pipelines, write DAX and SQL, optimize report performance, ensure data quality, and support stakeholders with documentation and ongoing support.

Design, build, and maintain enterprise Power BI dashboards and data models. Integrate multiple data sources, write DAX, ensure data quality and performance, support stakeholders with requirements, documentation, governance, and ad hoc analytics to enable operational and executive decision-making.

Maintain and build data products, pipelines, and automation to support care management and clinical programs. Integrate multiple data sources into single sources of truth, perform root cause analysis, and serve as a subject-matter expert for partner teams to drive clinical, operational, and financial insights.

Design, build, and support enterprise BI solutions including reports, dashboards, ETL/ELT, data marts, governed datasets and production support. Translate business requirements into technical designs, perform complex data analysis and root-cause investigations, document lineage and runbooks, optimize solutions, enforce data governance, and provide technical leadership or mentorship for large-scale initiatives.

Build, test, and support Databricks Lakehouse pipelines using Spark, Delta Lake, Python, and SQL. Develop notebooks, jobs, and reusable components; manage data ingestion and integrations with on-prem SQL Server and SaaS systems. Implement data quality, governance, monitoring, CI/CD, and platform administration while partnering with analysts, data scientists, and stakeholders to deliver analytics-ready datasets.