Top Remote Business Intelligence Jobs in Pittsburgh, PA

The Manager of Data Engineering will lead a team to provide analytics solutions for lab operations, manage end-to-end projects, and ensure data quality and transparency.

The Business Intelligence Analyst will analyze pharmaceutical transaction data, develop visual data models, and collaborate cross-functionally to drive insights and improvements in business strategies.

The analyst will create dashboards, deliver insights, ensure data integrity, and leverage AI for automated analysis in collaboration with multiple teams.

Intern will work with business and technology teams to create dashboards, SQL queries, ETL processes, and enhance BI capabilities.

The HR Technology BI Developer designs and develops HR analytics platforms to enhance decision-making and improve workforce planning through robust data solutions.

The HR Technology BI Developer designs and enhances the HR analytics platform, develops scalable solutions, and collaborates with global teams to improve workforce analytics and compliance.

The Senior Business Intelligence Analyst will architect critical analytical frameworks, provide insights for decision-making, and mentor junior analysts while collaborating across teams.

Lead the development of reporting and analytics tools in Tableau, providing insights for decision-making and managing inbound data ingestion. Act as a Tableau expert and mentor for the team, ensuring a strong user experience and collaboration with analytics engineering.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

The Business Intelligence Senior Consultant develops BI strategies, implements solutions using Ellucian tools, and supports higher education clients with technical and functional consulting.

Lead business intelligence analysis and reporting using SQL, Looker/LookML, and web analytics. Build dashboards, monitor data quality, provide insights and recommendations, mentor junior analysts, and partner with stakeholders and clients globally to solve complex business problems and support marketing/web analytics initiatives.

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.

As a Business Intelligence Analyst, you will drive analytics, optimize processes, and generate insights to enhance customer success, developing dashboards and predictive models while collaborating with leadership and cross-functional teams.

The Business Intelligence Developer collaborates to identify analytics gaps, designs scalable data models, and delivers dashboards and insights, optimizing existing resources while ensuring accuracy and accessibility.

As an intern, you will design and optimize dashboards in Sigma, write SQL queries for data extraction, and use Python for data manipulation, all while collaborating with the data team.

The intern will gain experience in data visualization, quality checks, and reporting, collaborating with cross-functional teams to improve analytics and data governance.

The Technical Lead in Business Intelligence will improve data infrastructure performance, automate processes, support internal analytics, and collaborate with software engineers.

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.

The Business Intelligence Analyst II role focuses on analyzing data, providing intelligence to business decision-makers, creating reports and dashboards, and ensuring data quality across departments. This position requires advanced analytics skills and expertise in data visualization tools.

The Analyst will drive analytical projects, utilize SQL and data visualization tools to provide insights, and collaborate with stakeholders.

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.

Lead enterprise Power BI architecture and governance, design scalable semantic models and high-performance reports, enable self-service analytics, optimize large-dataset performance, and mentor analytics teams while aligning solutions with business requirements and data engineering.

Design and maintain ELT pipelines, build dimensional (star/snowflake) analytics models, implement data transformations and quality checks, document data lineage and governance, partner with BI users, and mentor junior engineers to deliver performant analytics for business reporting and KPIs.

The Senior BI Engineer will design BI solutions, create data models, mentor junior staff, and collaborate with stakeholders to drive data-driven decisions.

Build and maintain dashboards and reports (Excel, Tableau, Sigma) by pulling and modeling production data (SQL, Python). Create pricing models for RFPs, define operational and financial metrics, optimize queries and data structures, run A/B experiment analyses, and partner with business leaders to generate insights and recommendations to improve roadside assistance operations and performance.