Top Business Analyst Jobs

Design and develop data warehouse and BI solutions, perform data modeling, gather and facilitate requirements, assess end-user needs, recommend solutions, manage implementation projects, and produce reporting solutions using tools like Workday, Cognos, and PeopleSoft. Contract role onsite in Madison for 12–18 months.

Work with Treasury and BI teams to document current and future requirements, review BI tools, conduct requirement walkthroughs, perform system integration testing, and support UAT for BI/data warehouse solutions.

Collect and analyze competitive intelligence and conduct due diligence and investigations on investment candidates and related entities. Design data collection methods, use research, network analysis and AI/automation tools to produce high-quality reports and actionable recommendations for senior stakeholders, and improve workflow productivity.

Manage and steward enterprise master data, metadata, reference and content/document management systems. Maintain the metadata repository, create training and documentation, support data governance councils, assess non-technical impacts of policy changes, ensure compliance, and support standardized reporting and MDM strategy and processes.

Produce routine reports, spreadsheets, and dashboards by collecting, consolidating, and reconciling data. Perform routine analysis to support business decisions, assist project implementation and testing, support audits and controls, troubleshoot issues with partners and vendors, and improve processes through documentation and automation.

Design, build, and maintain Power BI reports and dashboards: ETL/data preparation, scalable data modeling, advanced DAX measures, performance optimization, and executive reporting. Partner with stakeholders to gather requirements, validate data, perform ad-hoc SQL/Excel analysis, and document data sources and report logic to support sales and leadership decisions.

Support financial decision-making and reporting for annuities by processing loan documents, reconciling assets and cash with third-party trustees, maintaining assets in Markit WSO, delivering scheduled and ad-hoc reports and scorecards, tracking Moody's and S&P ratings, and acting as liaison among business leaders, vendors, and trustees to implement and monitor initiatives.

Provide financial and statistical analysis, deliver scheduled and ad-hoc reports, reconcile trustee and cash reports, maintain loan assets in WSO, track ratings, and act as liaison among business, trustees, and vendors to support project implementation and reporting accuracy.

Translate clinical and operational needs into technical requirements for data integration, ETL, SQL development, data modeling, reporting, and data quality. Support ETL operations, create documentation and test plans, coordinate UAT, and ensure compliance with federal and DoD healthcare regulations.

Design, develop, and maintain ETL and reporting solutions using the Microsoft BI stack (SSIS, SSRS). Build and support data warehouse ETL processes, create Excel/Power Pivot/VBA automations, document requirements with Visio, provide second-line system support, coordinate resources, and manage multiple concurrent projects with minimal off-hours support.

Provide second-line support for internal and 3rd-party systems, develop SSRS/Microsoft BI solutions, troubleshoot incidents, interact with users/vendors, document requirements, coordinate resources, and report status to the project manager.

The Business Intelligence Analyst at Crystal Run Healthcare will create reports and dashboards, gather requirements, and collaborate with development teams to support decision-making processes in healthcare operations.

The BI Data Analyst develops database solutions, creates reports, analyzes data systems, and maintains database processes while collaborating with data architects.

Perform advanced web analytics to evaluate marketing and product performance using SiteCatalyst. Query and analyze data with SQL, present insights to stakeholders using Excel and PowerPoint, and collaborate with business partners to drive data-informed decisions. Contract role, SiteCatalyst certifications and Netezza experience preferred.

Senior Technical Business Analyst supporting reporting and analytics. Performs data querying (20%), synthesizes and reports results, reviews business requirements, liaises with executives, and uses Excel, Access, SQL/PLSQL, TOAD and Tableau. Claims processing experience required; mortgage/finance preferred. Contract role (6+ months) requiring strong communication, problem solving, time management, and attention to detail.

Lead complex healthcare data analysis and profiling across disparate sources to create source-to-target mappings, rewrite/redirect BI reports and semantic data views, gather and document business/technical requirements, and lead the work unit to ensure transformed reports meet business needs.

Provide business and technical support for website reporting and analytics using tools like Google Analytics and Sitecore. Develop ad-hoc and scheduled reports, analyze operational procedures and trends, recommend technical solutions, perform data validation and financial impact assessments, troubleshoot and maintain systems, and support requirements gathering, design, programming, and documentation.

Work with business and technical teams to analyze requirements, guide development through the release lifecycle using Agile/VersionOne, create and validate BI reports and dashboards in MicroStrategy, write and review complex SQL against Teradata/Oracle, assist project leaders with design, implementation, and maintenance, and support customer and technical communications. Must obtain security clearance and travel as required.

Design, develop, and support analytics, dashboards, and reports by extracting and blending data from data warehouses and external sources. Perform statistical analysis, validate datasets, translate business requirements, and deliver actionable forecasts and decision-support solutions.

Gather business requirements and produce functional specifications for technical teams. Prepare playback documentation with the Apple Project Lead. Support unit, acceptance, and production cut-over testing. Coordinate onsite multiple finance projects, participate in IS&T meetings, and report status to the Apple Project Lead. Strong communication skills required.

Perform systems planning analyses, evaluate and model business and system requirements, analyze and document complex business problems, develop and approve test plans, and coordinate moderate-scope upgrades and rollouts to support leadership decision-making and infrastructure.

Own slide-grade analytics for PE and executive audiences by transforming Salesforce and BI outputs into polished board packs, causal commentary, reusable templates, and executive narratives. Attribute pipeline variance, produce funnel and revenue analytics, train client teams, and ensure deliverables are modular, PE-ready, and maintainable across engagements.

Partner with engineers to translate wafer experiment workflows into data requirements; design and maintain metrics, dashboards, and reports using ClickHouse, SQL, and Python; specify and validate data pipelines (AWS/Kafka/ClickHouse); reconcile MES, tool logs, and metrology data; develop reusable Python/SQL analyses; document datasets and pipelines; train users and support BI tools; and collaborate with data scientists to operationalize models and automate large-scale data ingestion and ETL workflows.

Analyze inventory for migration, participate in development team meetings, compare current and proposed business processes, review and recommend security updates, assess risks with management, and propose mitigation solutions to the project team.

Advise executive leadership on data strategy and deliver automated reporting and analytics. Design and maintain enterprise BI models, semantic layers, and KPIs. Enforce Power BI standards, optimize data warehouse and ETL workflows, integrate diverse data sources, ensure data quality and governance, use embedded AI/ML for predictive insights, and present findings to executives. Lead training to raise data literacy and support strategic projects.