Top Business Intelligence Jobs

Deliver BI/reporting solutions: gather and document requirements, design and build reports and dashboards (Power BI/SSRS/Tableau), run SQL queries, test and track defects, and collaborate with project teams and stakeholders to support acquisition and financial reporting.

Lead a global, AI-first Data Analytics and BI organization that integrates internal teams and vendors to deliver proactive, predictive insights. Design the future operating model, own metric governance and semantic layer, consolidate dealer and CX data, and migrate legacy reporting to cloud-native architectures while partnering closely with central tech teams.

Design, develop, and implement end-to-end BI solutions, reports, dashboards, and data warehouses for business partners and leadership. Work with large healthcare datasets (finance, HR, clinical) using SQL Server, Power BI, SSRS, and Tableau. Lead projects, mentor team members, and deliver analytical insights to influence decisions.

Design, develop, and maintain Power BI dashboards and data aggregations. Automate workflows with Power Automate and SharePoint. Collaborate with stakeholders to define requirements, track project milestones for government programs, and produce technical documentation and ad-hoc analyses to support decision-making.

Lead market research and business intelligence for consumer growth: define metrics and dashboards, analyze quantitative and qualitative data, run surveys and user interviews, build financial models and P&Ls, size ROI and pricing, and present actionable recommendations to senior leadership.

Lead business intelligence and market research to inform consumer strategy. Design and run quantitative and qualitative studies, build dashboards and financial models (P&L, pricing, ROI), analyze willingness-to-pay and feature trade-offs, and deliver actionable recommendations to senior leadership. Own metrics, tracking systems, and cross-functional insight execution.

Leads Pacsun’s enterprise business intelligence, data warehouse, analytics, and system integration strategy. Oversees BI developers and analysts, MuleSoft integrations, retail systems including Microsoft D365 and Manhattan OMS/POS, ETL and OLAP initiatives, data architecture, modeling, validation, and AI-driven predictive analytics. Partners with business and IT leaders on ERP and financial system transformation, resolves technical challenges, documents data designs, and mentors the BI team.

Lead and supervise a data analysis team responsible for designing, implementing, maintaining, and supporting data warehouse systems. Manage data reporting, modeling, dashboards, and BI solutions, ensure data quality and audits, provide on-call support, translate stakeholder requirements into technical solutions, document procedures, and mentor staff to meet SLAs and organizational objectives.

The Insights Architect will lead architecture initiatives, focusing on data quality, data mining, business intelligence, and big data environments in healthcare and insurance.

The Business Analyst will focus on requirement gathering, functional specifications, and business intelligence for retail and e-commerce domains.

Lead and assist in a multi-year Business Intelligence program, requiring effective communication and experience with BI tools and Agile methodology.

The AVP, Data Reporting Manager leads enterprise Business Intelligence strategies, oversees Tableau Cloud, and collaborates with teams to provide AI-driven analytics and governed data solutions.

Develop Power BI dashboards, reports, data models, and analytical tools for federal consulting engagements. Gather stakeholder requirements, integrate and validate operational data, create DAX calculations and Power Query transformations, and support forecasting, staffing, cost, inventory, and performance analysis. Optimize and document solutions, conduct testing and training, and transfer knowledge to Government users. Collaborate with logistics, operations research, security, and project management stakeholders.

Build dbt and SQL data models, strengthen replication and orchestration pipelines, investigate data issues, add quality checks, and create datasets and dashboards for internal reporting and client-facing analytics. The role involves hands-on data engineering, pipeline reliability, reporting, code reviews, and growing ownership within a healthcare and life sciences data environment.

Creates and maintains complex database reports, data extracts, and Power BI dashboards for court staff and programs. Documents reporting requirements, analyzes business data needs, performs functional testing and validation, troubleshoots SQL and database issues, improves stored procedures, and supports report deployment. Collaborates with stakeholders and database administrators to develop reporting solutions and provides dashboard guidance to judicial staff.

Leads enterprise business intelligence and reporting initiatives by designing complex dashboards, reports, scorecards, and presentations. Integrates organizational data sources, aligns metrics, streamlines reporting systems, and delivers actionable analysis. Acts as a technical lead and subject matter expert in data visualization, advises stakeholders, supports governance and risk requirements, manages complex cross-functional projects, and communicates with senior leadership.

Embed as the primary analytics partner on a digital product team to define KPIs, own measurement plans, build PowerBI dashboards, analyze member product behavior and funnels, design and evaluate A/B tests, write SQL/Python for analyses, and translate findings into actionable recommendations for product leaders and senior stakeholders.

Builds scalable business intelligence solutions, including databases, data warehouses, queries, dashboards, and automated reports. Translates business requirements into actionable data solutions, integrates BI platforms with enterprise systems, manages data transfers, troubleshoots data quality and performance issues, and supports testing, documentation, vendor coordination, and end-user training.

Create institutional reports for decision support, validate enterprise data models and relationships, identify data quality issues, determine root causes, propose fixes, and design data audits. Collaborate with data engineering teams and business stakeholders while communicating technical findings clearly. The role requires strong SQL, MySQL, Excel, and ETL/ELT experience, with Tableau and dimensional modeling considered beneficial.

Creates institutional reports for decision support, validates enterprise data models and relationships, identifies data quality issues and root causes, proposes corrective actions, and designs data audits. Collaborates with data engineering teams and business stakeholders while applying SQL, MySQL, ETL or ELT migration, Excel, and potentially Tableau skills.

Develops, deploys, and supports data visualization tools, dashboards, and data workflows. Integrates and validates structured data, performs quality checks, resolves errors, reviews ingestion pipelines, and documents technical processes for users. The role requires SQL-based data modeling, Microsoft analytics tools, and government or defense-domain experience. It also involves solving complex problems independently, mentoring team members, and potentially supervising staff. A Top Secret clearance and bachelor’s degree are required.

Manages enterprise data systems, data warehouses, integrations, governance, reporting, and business intelligence solutions. Develops SQL-based datasets, Power BI dashboards, Crystal Reports, and analytical tools using clinical, financial, operational, and administrative data. Partners with leadership, research, quality, finance, vendors, and program teams to support compliance, evaluation, strategic decisions, and process improvement. Oversees data quality, documentation, system enhancements, user training, and presentation of actionable findings.

Design, build, and optimize Power BI dashboards and automated ETL/data pipelines for supply chain KPIs. Integrate SAP, Databricks, and Microsoft Fabric/Azure sources, ensure data integrity and governance, enable predictive analytics, train stakeholders, and drive continuous improvement across supply chain analytics.

The BI Developer is responsible for developing reports and dashboards using Power BI and SQL, gathering reporting requirements, and optimizing T-SQL code.

The Senior Quantitative Analyst designs financial models and BI architecture, communicates insights, and mentors junior staff, contributing to strategic decision-making.