Top Business Analyst Jobs

Analyze growth marketing campaign performance, develop dashboards, translate media and conversion data into actionable insights, and support experimentation and measurement. Partner with marketers and Data Science to apply attribution, marketing mix modeling, and forecasts. Inform budget allocation, pacing, KPI definition, and growth planning while communicating recommendations to technical and non-technical stakeholders.

Defines and documents client business and technical requirements for analytics solutions, collaborates with developers on design and testing, and delivers data ingestion, reporting, dashboards, business intelligence, data warehousing, and advanced AI/ML applications. Partners with delivery and account management teams to ensure customer satisfaction, provide analytics consulting, and recommend appropriate cloud and BI technologies.

Leads business analysis, advanced analytics, KPI development, data modeling, reporting automation, and AI/ML initiatives supporting global data-center construction and operational excellence. Builds datasets, dashboards, performance metrics, forecasts, and scenario models; translates complex findings for executives; aligns technology solutions with business needs; and promotes data governance, documentation, process improvement, and analytics maturity across cross-functional teams.

Ten-week business analytics internship for college students. Interns analyze business data, solve challenges, create insights, collaborate with teams, present findings, and contribute to real-world projects. The program includes mentoring, formal training, leadership interactions, and professional development in analytics, strategy, communication, coding, and storytelling.

The Data Business Analyst will document enterprise data concepts, support conceptual and logical data modeling, and implement data governance standards. Responsibilities include maintaining data ownership, glossaries, quality rules, lineage, metadata, and data catalogs; monitoring data quality; resolving inconsistencies; and partnering with business and technology stakeholders to improve data processes, security compliance, accessibility, and reliability for operational decision-making and AI initiatives.

Designs and delivers data-driven audience, targeting, and measurement solutions for digital marketing campaigns. Translates business goals into technical requirements, improves data quality and reporting, standardizes audience documentation, and manages initiative execution, monitoring, issue triage, and alerts. Partners with Marketing, Product, and Technology on platform enhancements while identifying responsible artificial intelligence applications with human oversight, governance, explainability, and measurable outcomes.

Investigate offline and direct mail channel performance, attribution, vendor data, and measurement methodologies. Build response, lift, allocation, and regression models; manage direct mail testing data pulls and mail merges; create KPI dashboards; and communicate actionable recommendations to marketing stakeholders. The role requires proactively identifying opportunities, validating data and vendor claims, and translating complex analytical findings into business decisions.

Analyzes business processes, identifies optimization opportunities, gathers requirements, and leads solutions from concept through implementation. Develops SQL queries, dashboards, reports, automation, and AI-driven tools to support decision-making and improve operational efficiency. Partners with executive, operational, and technical stakeholders, presents recommendations, conducts research, and contributes to continuous improvement and team standards.

Develop business and user requirements, user stories, process improvements, and deployable features for cloud-based lifecycle management systems supporting Air Force weapons-system modernization. Collaborate with requirements analysts, designers, developers, and testers in an Agile environment. Assess system functionality, user experience, and data relationships; create process maps and visualizations; research options; and present recommendations to varied audiences.

Gather and document business and system requirements, create functional and technical specifications, analyze data and reporting needs, and support system integrations. Participate in Agile delivery, facilitate stakeholder meetings, develop solution options, identify risks, and support acceptance testing. Assist with data warehouse and business intelligence enhancements, reporting tool deployments, knowledge transfer, issue resolution, and communication across IT and business teams.

Performs strategic data and business analysis for Planning and Development. Develops and maintains Power BI dashboards, reports, integrations, scripts, and automation using SQL, Python, JavaScript, and APIs. Validates data and system functionality, supports quality assurance, advises stakeholders on system improvements, documents technical solutions, and delivers training and demonstrations.

Analyze IT business processes, gather and document requirements, interpret data, identify efficiency improvements, and recommend AI and automation opportunities. Assist with business cases, presentations, workflow documentation, and the design, testing, prototyping, and implementation of AI solutions using Microsoft Copilot Studio. Collaborate with business, technology, leadership, and project teams while gaining experience in process improvement, digital transformation, and emerging technologies.

Analyzes and documents database requirements for ship maintenance systems, manages and optimizes databases, develops metrics, dashboards, reports, and custom queries, and supports data integration, quality, security, and analytics for NAVSEA decision-making.

Conduct research, analyze complex business data, develop reports, document processes, present findings, and recommend improvements for customer projects. The role gathers stakeholder and survey information, evaluates business processes, anticipates requirements, and supports new solutions. It requires strong analytical, documentation, communication, organizational, presentation, and troubleshooting skills, along with Microsoft Office and SharePoint proficiency.

Analyze pricing, occupancy, customer, promotional, and marketing data to identify trends and opportunities. Prepare reports, dashboards, scorecards, and executive summaries; evaluate campaign and pricing performance; support testing, forecasting, KPI tracking, data quality, business requirements, and process improvements. Collaborate with Pricing, Marketing, Finance, Operations, and Data teams to translate business questions into actionable recommendations and improve reporting workflows.

Performs revenue, pricing, economic impact, competitive venue, KPI, forecasting, and statistical analyses supporting Events DC sales and business growth. Develops reports, recommendations, ROI and cost-benefit analyses, metrics, presentations, and requirements documentation. Partners with sales, convention management, corporate partnerships, sports, and entertainment leadership to optimize venue bookings, financial performance, and event business strategies across Washington, DC-area properties.

Engage stakeholders to identify business needs, elicit and document functional and non-functional requirements, facilitate workshops and process mapping, support solution design, and collaborate with delivery teams through testing and change management. Maintain business cases, process flows, and requirements documentation while helping align technology solutions with business objectives.

Analyze enterprise incentive compensation plans, performance measures, payout mechanics, and participant data to identify risks and trends. Develop quantitative models, test hypotheses, evaluate plan designs, and recommend improvements that balance business goals with prudent risk-taking. Translate complex analyses into actionable insights and presentations for senior leaders, partnering across HR, Finance, IT, Sales, and Operations to support decision-making and implementation.

Analyze payment, lending, marketing, and credit-risk data to identify business opportunities, build strategic recommendations, develop and monitor statistical models, and support product and pricing decisions. Partner with IT, Sales, Operations, Finance, and other teams to implement solutions, improve performance, and drive profitability. The role requires strong quantitative reasoning, business judgment, communication, leadership, and execution skills in a fast-paced environment.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

Leads business analysis for advisor-facing trading technology platforms, translating business goals into functional specifications, requirements, user stories, process flows, and technical documentation. Conducts gap, feasibility, and impact analyses; partners with development, QA, UX, and business teams; facilitates UAT; supports production issues; and champions risk, change control, and issue tracking. Serves as a subject matter expert across trading workflows and enterprise technology initiatives.

Support Global Manufacturing & Distribution by collecting, integrating, and analyzing operational and financial data. Build and automate Power BI dashboards, KPIs, and reports; perform root-cause analysis; optimize inventory, production, distribution, and transportation; support Microsoft Dynamics 365 reporting and Executive S&OP; and partner with cross-functional teams to recommend and track continuous-improvement actions.

Leads Uber Freight strategy and planning analytics, including monthly and global business reviews, executive dashboards, competitive intelligence, and strategic initiatives. The role analyzes business performance, develops reporting using SQL and spreadsheets, creates leadership presentations, and collaborates cross-functionally with commercial, marketplace, operations, finance, and technology teams.

Engage organizational leadership to identify business intelligence needs, elicit and document requirements, model processes and data, assess data quality, recommend solutions, and build dashboards and reports in Power BI. Collaborate with enterprise data management teams and stakeholders to deliver reliable information products. The role is fully onsite in Redlands, California.

Analyzes operational data and business processes to identify problems, define requirements, develop solutions, and improve data content and profitability. Manages data aggregation projects, creates reports, documents processes, trains offshore resources, and standardizes procedures. Partners with business stakeholders, vendors, and subject matter experts while applying data metrics, audit procedures, and strong analytical and communication skills.