Top Business Intelligence Jobs in Pittsburgh, PA

Senior Data Architect responsible for defining and evolving AMG domain data architecture, modernizing Hadoop-based platforms to lakehouse/open-data architectures, guiding migrations, establishing metadata and governance, supporting analytics/AI/ML, and mentoring engineering and architecture teams to ensure scalable, secure, governed data solutions.

Own and optimize the enterprise workforce management platform, including forecasting, scheduling, staffing, intraday performance, shift and PTO bidding, and schedule adherence. Analyze workforce and operational data, identify root causes, create trend and productivity reports, model ROI, and recommend staffing improvements. Partner with analytics and operations leaders, mentor real-time analysts and schedulers, and drive efficiency across service and clinical operations.

Supports Business Intelligence reporting and analytics solutions using Power BI, Tableau, and Insight Rocket. Provides user guidance, troubleshooting, training, and governance support while facilitating helpdesk and knowledge-sharing sessions. Helps administer AI-powered support agents, analyze adoption metrics and feedback, and support BI product planning and roadmap decisions. Collaborates with administrators, developers, and stakeholders to improve reporting capabilities, user experience, and platform adoption.

Designs, develops, and manages Incorta data models, ETL processes, and visualizations. Collaborates with business teams to understand data needs, ensures data accuracy and quality, optimizes performance, writes and optimizes SQL queries, and documents reporting solutions. Requires Incorta proficiency, data integration and analytics knowledge, familiarity with databases, data warehousing, and cloud data systems, plus strong analytical, communication, and problem-solving skills.

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.

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.

Supports Design and Engineering through process improvement, business systems administration, data management, and analytics. Develops process maps, SOPs, workflows, dashboards, KPIs, reports, and decision-support tools using Excel and Smartsheet, with future Tableau and Palantir Foundry applications. Gathers stakeholder requirements, integrates data across enterprise systems, manages business applications, supports change management, and leads initiatives that improve data visibility, efficiency, and decision-making.

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.

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

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.

Lead architecture and delivery of enterprise data transformation on the Guidewire Data Platform. Drive design, ingestion/egress, migration performance, and AI-enabled tooling. Facilitate inception and design review sessions, mentor teams, coordinate with partners, and ensure successful data platform adoption and repeatable delivery practices while spending significant time on customer sites.

Act as a strategic partner to Revenue Operations by analyzing performance, building executive dashboards and reports, improving CRM data quality and governance, supporting forecasting and pipeline management, and designing scalable processes and automations to increase efficiency and revenue visibility.

Lead data product strategy and governance for customer-facing reporting within Managed Services. Own reporting product roadmap, data quality, standards, delivery platforms (Redwood Insights, BI, Snowflake, Excel), implementation readiness, and cross-functional alignment to scale trusted, automated customer analytics and reduce manual reporting.

Lead design and implementation of process and system improvements, perform data analysis and queries, produce BI reports, gather requirements, coordinate projects, and provide analytical insights to support healthcare business decisions. Work with databases, reporting tools, EPIC, Tableau and SAP, and communicate across organizational levels.

Leads the design and deployment of Power BI dashboards and reports covering operational, financial, customer, and logistics performance. Manages the BI lifecycle, partners with executives and technical teams, establishes KPIs, ensures data integrity and governance, analyzes trends, and recommends improvements across transportation, warehousing, and last-mile logistics. Manages and mentors BI developers and analysts while supporting strategic decision-making.

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.

Lead enterprise data governance, quality, MDM, cleansing, validation, reconciliation, and migration efforts to support ERP implementations and large transformation programs. Develop governance frameworks, coordinate data readiness and testing, produce executive reporting and presentations, manage project plans and governance artifacts, and drive stakeholder alignment and change management.

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 and maintains business intelligence solutions, including dashboards, reports, data models, and visualizations. Performs complex data analysis, resolves technical challenges, translates stakeholder requirements into technical solutions, ensures data quality, and optimizes BI performance. The role requires advanced SQL, Power BI, Power Apps, large-scale data experience, healthcare data knowledge, and strong communication skills. It is remote with occasional office travel.

Lead cross-functional analytics initiatives delivering accurate, trusted dashboards and metrics. Partner with Sales, Operations, Product, and Data Engineering to align analytics with business strategy, solve ambiguous problems, and mentor junior analysts.

Ensure integrity and governance of reporting databases; develop automation frameworks and ETL processes; prepare data for BI; conduct code and periodic reviews; create data policies and documentation; collaborate with stakeholders to enforce data management practices; perform data, gap, and root-cause analysis; maintain performance and adopt new technologies.

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.

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.

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.