Top Business Analyst Jobs

Support business units by designing and maintaining automated workflows, integrations, and BI reporting. Improve DDQ/RFP automation, data governance, consultant database quality, and deliver analytics, dashboards, and prospect research to inform strategy and reduce manual effort.

The Business Intelligence Analyst analyzes complex data for finance teams, develops reports and dashboards, and enhances financial reporting solutions. They collaborate with teams to ensure reporting accuracy and alignment with business needs.

The role involves developing BI solutions, managing data processing pipelines, providing application support, and ensuring data governance and compliance.

Provide senior-level BI and quantitative analysis for federal clients: collect and evaluate data, develop methodologies (regression, optimization, simulation), define KPIs, build visualizations and reports (PowerBI/Tableau), manage project deliverables, document results, present findings, and mentor junior analysts.

The Business Intelligence Analyst II prepares reports and dashboards, conducts data analysis, documents requirements, performs testing, and ensures efficient data reporting.

A Business Systems Analyst I assists in gathering and documenting requirements for software enhancements and manages customer communications, testing, and training as needed.

The role involves coordinating systems analysis and design projects, leading Agile workboards, and acting as a liaison between business units and technical teams to improve data systems through automation.

Lead product analytics efforts to define KPIs, build measurement frameworks, analyze customer behavior, and generate insights that influence product and engineering decisions. Partner with Product, Engineering, and Data teams to design event tracking, run experiments, quantify opportunity sizes, and communicate recommendations through clear narratives and visualizations to drive product adoption, retention, and business outcomes.

The IT Business Analyst will support projects in Operations and Regulatory Technology for FXLM, gathering business requirements, analyzing data, and coordinating with stakeholders.

Design, deliver, and support Power BI and Power Platform analytics for commodity trading and shipping. Partner with traders and stakeholders to gather requirements, build datasets, reports, automation, and governance. Optimize report performance, document data models, provide training, and promote BI adoption to enable data-driven trading decisions.

Develop and validate reports, dashboards, and data models using SQL and BI tools. Analyze data to identify trends, meet with stakeholders to translate needs, and manage projects while liaising with platform and application vendors.

The Technical Business Analyst will facilitate workshops, document requirements, manage project scope, and produce clear artifacts for client deliverables across data platform workstreams.

Design, develop, and maintain Power BI dashboards and data models; build DAX calculations, transform data with Power Query/Dataflows, automate workflows with Power Automate, gather stakeholder requirements, present insights to leadership, troubleshoot data/reporting issues, document solutions, and train end users.

The role involves analyzing business requirements in the financial domain, data mapping, data verification, and ensuring data quality while preparing business requirement documents.

The Business Data Analyst will analyze data, generate insights, assess impacts, and recommend actions using data visualization and storytelling techniques. They will collaborate with stakeholders and assist in implementing changes based on data findings.

Lead development of data visualizations and BI solutions (Power BI, Tableau, Kibana), conduct ETL and complex queries, serve as product owner/SME to improve workflows, troubleshoot and document data processes, and coordinate cross-team data integration for the Sentinel GBSD program.

Analyze profitability and financial performance, build and maintain reports and dashboards, partner with finance and business stakeholders to deliver insights, develop data models and metrics to support decision-making, and ensure reporting accuracy and consistency.

Perform technical business analysis supporting ETL and data operations. Write complex SQL queries, manage and analyze data, gather technical business requirements, and facilitate stakeholder meetings. Work independently in a customer/technical support environment using Excel and Agile/Waterfall methodologies, applying strong problem-solving and attention to detail.

Design and implement ETL processes for assigned business intelligence projects to extract, transform, and load data that supports reporting and analytics.

Partner with Finance and cross-functional teams to design, build, and maintain BI solutions. Develop and optimize SQL queries, Snowflake-based solutions, SSAS/Fabric semantic models, ETL pipelines, and financial reports. Ensure data governance, integrity, and performance; provide end-user support and training; and participate in system maintenance, upgrades, and integrations.

Lead development and delivery of enterprise BI strategy: gather requirements, build dashboards and t‑SQL queries, partner with data engineering, mentor BI staff, and manage BI lifecycle to provide insights across the organization.

The IT Business Analyst bridges business objectives with IT, gathering requirements, analyzing data, improving processes, and ensuring successful implementation of technical solutions.

The role involves enhancing actuarial systems using AI, gathering requirements, translating complex concepts, collaborating with technical teams, and promoting responsible AI usage.

The Senior Business Reporting Analyst will enhance reporting processes for Credit and Energy Risk, ensure data quality, and automate reporting functions. Key responsibilities include analyzing data from various sources, creating dashboards, and reporting to stakeholders.

Collaborate with business teams to define analytics needs, perform data exploration, statistical analysis, and modeling, and create dashboards and presentations to inform decisions. Build forecasts and regression models, support data stewardship and metadata management, and work with analytics teams to improve data models and access while ensuring data security and governance.