Top Business Intelligence Jobs in Pittsburgh, PA

Lead design and implementation of high-performance, low-latency data architectures and warehouses. Collaborate with product and enterprise architecture, drive roadmap and governance, create design documents and proofs-of-concept, and ensure data quality, compliance, and alignment with business priorities.

The Master Data Senior Analyst maintains data integrity, supports business decisions through analytics, and coordinates data quality practices in a supply chain context.

The Director of Data and Enterprise Applications oversees the architecture, development, and support of business applications and data platforms, driving digital transformation and ensuring data integrity and accessibility.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Lead and expand the enterprise reporting and BI platform: gather requirements, develop reports and visualizations, write complex T-SQL/stored procedures, ensure SDLC practices, mentor junior developers, and partner with stakeholders to deliver accurate, timely business insights.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

The Business Intelligence Analyst develops BI reports, communicates analytical findings, and supports Operations & Revenue Cycle Management through data-driven analyses and insights.

Lead design and delivery of scalable BI solutions, data models, dashboards, ETL/ELT pipelines, and integrations. Partner with leadership to define analytics strategy, validate data, produce executive insights, mentor analysts, and integrate AI capabilities into data architectures.

Designs, builds, and maintains dashboards, datasets, and visualizations; gathers and documents business requirements; validates data and ensures reporting accuracy; supports BI modernization, ETL processes, ERP/CRM integrations, and data governance; performs ad hoc analysis and integrates AI tooling (RAG pipelines, LLM APIs) into solutions.

The Business Intelligence / Data Analyst will optimize the data reporting pipeline using Google Big Query and Omni, work with product management, implement reports, and conduct ongoing maintenance.

Own end-to-end data pipelines for multiple clients: extract, clean, transform, model and visualize data. Build dashboards and automated workflows, apply AI where useful, and present actionable insights to non-technical stakeholders.

Lead and expand the company's BI and analytics capabilities: set data strategy with senior leadership, manage analytics pipeline and BI stack, implement data governance, mentor and grow BI and data engineering teams, partner cross-functionally to drive data-informed decisions, and manage vendors and processes for scalability.

Founding sales-intelligence analyst building data models, scoring/prioritizing account opportunities, packaging analysis for non-technical stakeholders, presenting to sales leadership, and iterating with sales and operations to drive pipeline growth.

Lead the BI function—manage BI engineers, analysts, and PMs; develop strategic BI vision and data roadmap; oversee data modeling, transformation, visualization, governance, QA, and stakeholder engagement to move reporting toward analytical and predictive insights.

The Power BI Data Analyst will create actionable dashboards from large datasets, optimize performance, collaborate with business teams, and mentor junior analysts.

The Business Intelligence Architect will design Circana Brainwaves to transform data into actionable insights, engaging stakeholders and ensuring solutions align with client needs.

The Director of Business Intelligence at Viral Nation will lead analytics strategy for a CPG organization, driving insights and growth opportunities across sales, marketing, and digital engagement. Responsibilities include building a high-performing team, developing predictive models, and optimizing measurement strategies to inform executive decisions.

Design, develop, and maintain Power BI dashboards and automated reports for financial analytics. Ensure data accuracy, build data models and ETL pipelines, write/optimize SQL and DAX, analyze trends to provide insights, and collaborate with stakeholders to define reporting requirements and best practices.

The Senior BI Analyst will gather requirements, develop scalable reporting solutions, and create dashboards using Power BI, ensuring data-driven decisions across the organization.

The Data & Accounting Analyst will analyze financial and marketing data, create detailed reports, and ensure accuracy in financial data to support strategic decisions.

Work with operations, IT, and client teams to manage business applications, schedules, SFTP accounts, and automated reports. Perform data imports/exports, cleansing, QA reporting, trend analysis, and process improvements while maintaining client communication and meeting productivity goals.

Lead and grow a BI and analytics team to build scalable, AI-enabled reporting and self-service analytics. Partner with cross-functional stakeholders to deliver executive dashboards, standardize metrics, ensure data quality and governance, and use AI tools to automate insights and accelerate dashboard development.

Design, build, and maintain scalable AWS data pipelines, data lakes, and warehouses; develop ETL/ELT processes; create and manage AWS QuickSight dashboards (including RLS, embedding, Topics/Spaces, and QuickSight Q); ensure data quality, governance, security; optimize performance; collaborate with stakeholders and support production reporting.

Design, build, and maintain data pipelines, dashboards, and predictive models. Analyze large datasets to generate actionable insights, collaborate with stakeholders, ensure data quality and governance, and document/share analytics best practices to support Marketing, Product, Operations, and Workforce teams.

Designs and develops BI solutions by analyzing large datasets, building and optimizing SQL queries, and creating data visualizations (Power BI/Tableau) to inform strategic decisions. Works independently on complex problems, influences departmental strategy, and supports healthcare-focused analytics.