Top Business Analyst Jobs

Lead client-facing analytics engagements: translate ambiguous business questions into data models, dashboards, and KPIs; write production-quality SQL and dbt models; build BI reporting; apply AI tools to accelerate analysis; drive proactive insights; set stakeholder cadence; and mentor junior analysts to ensure adoption and delivery.

Analyze large healthcare datasets and develop complex SQL queries using Azure Synapse/Databricks. Build Power BI reports, produce monthly reconciliations and ad-hoc analyses in Excel/PowerPoint, support payments to value-based specialists, evaluate and expand value-based programs, automate processes with Power Automate/Power Apps, and communicate findings to senior leadership while spearheading new technologies.

The Business Analyst will analyze business processes, document requirements, test applications, and coordinate with project teams to develop information solutions.

The Business Analyst will identify business requirements for Delaware's Zika initiative, develop online forms, and collaborate with epidemiologists to create health IT solutions.

The Senior SharePoint Business Analyst will oversee the migration from SharePoint 2010 to 2013, capturing requirements, documenting processes, and improving content organization and efficiency across divisions.

The Business Analyst will deliver high-quality services, manage client relationships, lead consulting teams, and document business requirements.

Support the design, build, and maintenance of scalable data pipelines and data management systems using cloud platforms. Assist in ETL, data transformation, reporting, and dashboard creation (Power BI/Tableau). Troubleshoot pipelines, help integrate new technologies (including AI/ML tools), ensure data security/compliance, and communicate with finance/accounting stakeholders across multiple client engagements.

Support anti-fraud analytics operations by documenting workflows, gathering requirements, developing BI dashboards and reports, supporting product and sales initiatives, coordinating cross-functional projects, and driving process improvements to measure and improve business outcomes.

Support financial and operational management of Discount Guarantees by performing reconciliations, validating data accuracy, preparing quarterly/annual reports, responding to auditors, maintaining reconciliation models and data‑warehouse sources, processing refunds, and collaborating with Finance, Underwriting, Account Management, and operations to resolve discrepancies and improve tools and documentation.

Support and lead Pre-Award initiatives including process mapping, operational analysis, data modeling, KPI assessment, change management, and project management. Develop policies, training and communications, present findings to leadership, and coordinate cross-functional stakeholders to improve sponsored research administration.

Lead payroll analytics by analyzing large payroll datasets, building dashboards and visualizations, developing predictive/statistical models, creating data pipelines and automation, ensuring data quality and model performance, and partnering with Payroll, HR, Finance, and IT to drive data-driven payroll decisions.

Serve as a technical business analyst focused on backend data and API processes: gather and clarify requirements, perform hands-on SQL data analysis, document data flows and granular business rules, support QA through payload and data verification, use Postman for API exploration, and occasionally act as a pseudo-Product Owner to align technical work with business priorities.

Lead payroll analytics by analyzing large payroll datasets, building dashboards, predictive models, and automation solutions. Partner with Payroll, HR, Finance, and IT to develop data pipelines, ensure data quality and governance, and automate reporting to improve payroll efficiency, compliance, and transparency.

Develop and maintain SQL-based reports, dashboards, and statistical models to support Stop Loss Claims. Analyze large datasets to find trends and anomalies, automate reporting processes, validate and cleanse data, ensure data quality and freshness, and present actionable insights to business leaders. Collaborate with IT and stakeholders to resolve data issues and improve operational efficiency.

Lead end-to-end BI analytics to convert enterprise, transaction, and guest data into actionable insights. Build forecasts, predictive models, test designs, dashboards (Power BI/Tableau), and partner across Marketing, Product, Operations, Finance, and Loyalty to optimize sales, traffic, and guest engagement.

Serve as the liaison between business stakeholders and engineering teams to gather and translate business objectives into technical requirements, user stories, and acceptance criteria for an Azure-based enterprise data platform. Manage backlogs in Azure DevOps or Jira, facilitate Agile ceremonies, document processes and data flows, identify risks and dependencies, support UAT and production readiness, and drive data ingestion, integration, transformation, analytics, reporting, and governance initiatives.

Lead business analysis, requirements definition, system administration, integration development, and reporting for enterprise systems and data initiatives. Partner with stakeholders to design solutions, manage user access, troubleshoot systems, support upgrades and migrations, and develop reporting in Kantata, NetSuite, Salesforce, and Power BI.

Design and deliver BI reports, dashboards, scorecards and analytic solutions for Medical Economics. Partner with business, actuarial, and technical teams to gather requirements, define business rules, manage BI development lifecycle, investigate trends, maintain knowledge base, and support analytics projects to inform cost and performance decisions.

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.

Support continuous improvement by partnering with stakeholders to define KPIs, analyze large datasets, and build Power BI dashboards and reports. Use SQL, Excel, and AI tools to extract, validate, and visualize data, deliver insights to senior leadership, and drive process automation and scalability across business units.

Lead development and maintenance of regulatory and business reporting (Reg YY / FR regs). Analyze large datasets, build dashboards, validate data quality, perform UAT, translate business needs into requirements, recommend process automation, and mentor junior staff.

Own end-to-end marketing and business intelligence: build automated dashboards (Domo), query large datasets (SQL/Snowflake), report subscription funnel economics, analyze channel performance and A/B tests, troubleshoot data anomalies, and partner with leadership to set KPIs and prioritize analytics work.

Partner with Sales, Finance, and Operations to analyze pipeline health, forecast accuracy, and sales productivity. Design reporting frameworks, deliver revenue analytics, support territory and capacity planning, lead process improvements, govern CRM data, and present insights to influence executive decision-making and improve revenue outcomes.

Lead VoC and customer insights analyses by querying internal and external data, identifying trends, and producing dashboards and reports. Deliver data-backed recommendations, synthesize findings for senior stakeholders, and support CX initiatives with SQL/Python analysis and clear visual storytelling.

Partner with national security clients to gather requirements, streamline operations, and resolve data issues. Use SQL, Tableau/Power BI, PowerApps, and CRM tools to analyze data, enforce quality, produce reports, and guide non-technical users. Coordinate across teams to improve processes, document standards, and translate leadership questions into actionable analytical approaches to inform business decisions.