Top Business Intelligence Jobs

Designs and enforces BI architecture, data standards, and warehouse/data models. Leads BI development using InfoSphere DataStage/QualityStage, Tableau, and IBM DB2. Provides consulting client-facing leadership to implement BI best practices in healthcare payer environments.

Design and architect BI/data warehouse solutions with strong focus on data quality. Configure SSIS Data Quality toolset, build data quality rules and DQ reporting matrices, and implement ETL (preferably SSIS) solutions for banking and capital markets.

Lead design and build of Qlik Sense data discovery and visualizations. Create dashboards, reports, and ad-hoc analyses. Develop visualization tools, ensure consistent KPIs and data continuity, define UI/navigation, and support data loading strategies and Qlik environment optimization.

Build and optimize Power BI reports, dashboards, and semantic models. Partner with stakeholders and Data Engineering (Microsoft Fabric) to transform data into insights, use Copilot Studio for AI-enabled reporting, improve performance/governance, support Excel-heavy reporting, and assist project management to maintain contractual compliance.

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.

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.

Develop and maintain Tableau and other BI dashboards, reporting applications, data models, and ad hoc reports. Translate business requirements into technical specifications, perform ETL and SQL-based data analysis, optimize BI environments, and support the full reporting application lifecycle. Collaborate with architects, business teams, and developers to improve data-driven processes, resolve reporting issues, implement standards, and provide training and technical support.

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.