Top Business Intelligence Jobs in Boston, MA

Senior BI Platform Administrator to own enterprise BI infrastructure across Power BI, Microsoft Fabric, and Snowflake. Responsibilities include federated Power BI governance, Fabric AI Agent skill design and deployment, RBAC/RLS design, certified semantic model development, CI/CD and SRE practices for platform reliability, and measuring adoption. Partners with Data Engineering, IT Security, AI/ML, and business stakeholders to drive secure, performant analytics and AI-powered experiences.

Lead design and delivery of customer-facing dashboards and custom analytics, partner with stakeholders to quantify Flywire's product value, and collaborate with product and engineering to build secure, scalable reporting and data solutions.

Design and maintain analytics frameworks, data architectures, and pipelines using SQL and cloud platforms. Build scalable dashboards and reports, support experiment design and analysis, validate data quality, automate reporting, and document technical designs. Collaborate cross-functionally to deliver data products and insights that measure digital asset impact and support business decisions.

The Business Strategist will align client strategies with data analysis solutions, managing projects and analytics to provide insights and recommendations for business growth.

The Senior Director leads the development of reporting and analytics for clinical operations, integrating data for decision-making and optimizing resources using advanced analytics and AI.

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.

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.

Analyze healthcare and operational datasets to create, validate, and maintain reports and dashboards using SQL, Excel, and BI tools. Support utilization, cost containment, regulatory reporting, and ad hoc analyses. Collaborate with stakeholders to define requirements, document workflows, and deliver actionable recommendations.

Lead GTM strategy and analytics to build headcount/capacity models, territory optimization, quota setting, predictive models, and BI reporting. Partner with Sales, Marketing, Finance, and Data to inform planning cycles, monitor pipeline and productivity, and deliver executive-level insights for growth and investment decisions.

Drive mobile app growth through ad-hoc SQL analysis, dashboards, and BI tools; partner with CEO/CFO to provide insights, streamline ETL/ELT pipelines, and optimize user acquisition, retention, and monetization.

Lead and grow the analytics function, manage analysts, partner with business leaders, develop dashboards and KPIs (Tableau/Power BI), oversee data warehouse and ETL/ELT pipelines (e.g., Snowflake), ensure data governance, quality, and compliance, and drive data-informed decisions across member growth, lending, deposits, and digital engagement.

Manage IT Business Intelligence operations and a team of BI/ETL professionals to deliver secure, scalable data solutions, enforce data governance, and provide actionable analytics. Own service delivery (incident/change/problem management), vendor relationships, budgeting, documentation, and cross-functional stakeholder engagement to drive strategic decisions and continuous improvement.

The role focuses on BI data modeling and architecture, involving 80% hands-on SQL development and 20% design analysis, mainly using Oracle and SQL technologies.

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.

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.

Lead BI analytics and governance for client accounts: manage BI analysts, deliver dashboards and reports, oversee data mapping, modeling, quality, and platform initiatives (Power BI/Databricks), advise stakeholders, drive analytics roadmap, and apply advanced analytics and ML to optimize workplace and portfolio insights.

Lead development and delivery of enterprise BI strategy: gather requirements, build dashboards and t‑SQL queries, partner with data engineering, mentor BI staff, and manage BI lifecycle to provide insights across the organization.

The Senior Business Intelligence Analyst will design and maintain enterprise-level data models, dashboards, and analytics solutions, optimizing SQL queries and ensuring data quality across systems to support strategic decision-making.

Lead BI and data for a large real estate account: design and deliver Power BI dashboards, data governance, integrations, SharePoint and automation solutions, build analytics roadmap, translate data into executive insights, drive process improvement, and lead a technical analytics team.

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.

Build and maintain executive and project-level dashboards, standardize and cleanse source data, define reporting conventions and KPIs, perform data quality checks, coordinate with stakeholders, and apply AI/LLM tools to improve reporting workflows and efficiency.

Design and deliver executive-ready Power BI reports, dashboards and agentic experiences. Build semantic models and self-service analytics, apply DAX, Power Query and Fabric notebooks, perform data exploration with SQL/KQL, and drive AI-enabled automation. Collaborate with data engineering to influence ingestion and transformation, translate business strategy into data solutions, and ensure performance, reliability, and scalability of reporting assets.

Lead a BI team to build and maintain dashboards, reports, and data models; enable self-service via semantic layers; partner with product, engineering, and stakeholders; drive AI and advanced analytics adoption; ensure data quality, pipeline clarity, and BI system reliability; prioritize backlog, mentor team members, and promote data-driven decision making.

Lead analytics and reporting for value-based contracts: build and maintain performance evaluations, calculate incentive distributions, translate business requirements into technical specs, partner with Data Engineering to ensure data quality, write SQL and Python analyses, gather stakeholder feedback, and deliver ad-hoc and executive-level insights to guide strategic decisions.

Manage a team of analysts for PBM analytics, driving insights and scalable data products. Partner with business leaders for effective reporting and analysis.