Top Business Analyst Jobs

Analyze large credit-card datasets to identify trends and recommend operational and risk improvements. Build KPIs, statistical models, and ML/AI solutions, produce executive presentations, mentor junior analysts, and participate in hiring and performance management to drive organizational performance.

Serve as the business-facing analytics partner for Consumer Markets: discover and prioritize initiatives across Finance, Underwriting, Sales, Product, and Fraud; define requirements and success metrics; coordinate Analytics Engineering, Data Science, and Visualization teams; manage delivery timelines, adoption, ROI measurement, and continuous improvement.

The Business Analyst - Verification Engineer role involves validating AI-generated outputs, collaborating with teams to ensure alignment with systems, developing test cases, and improving QA processes in an Agile environment.

Partner with cross-functional teams to gather requirements, analyze data, build and maintain Tableau dashboards and T‑SQL analyses, support email marketing list pulls, reconcile paid/affiliate marketing invoices, and document processes to drive data‑driven decisions.

The Business Analyst will gather requirements, analyze trading systems, document processes, and work with teams for high-quality solutions in a financial context.

Analyzes business change needs, gathers and validates user requirements, translates business needs into functional specifications, and facilitates stakeholder and design sessions. Creates process maps, use cases, wireframes, data migration rules, business rules, and requirements traceability documentation. Supports business process redesign, data-entry component definition, solution analysis, and multiple moderately complex projects while collaborating with customers, users, technical teams, and other stakeholders.

Build and govern KPIs and dashboards, partner with stakeholders on measurement, develop scalable data pipelines, run deep-dive analyses, close reporting gaps, and promote best practices in visualization and metric consistency.

Lead end-to-end analytics: own KPIs and dashboards, define measurement with stakeholders, build scalable pipelines with Data Engineering, run deep-dive analyses, close reporting gaps, and advocate best practices in visualization, documentation, and metric consistency to inform business strategy.

Supports Salesforce and other business systems, develops reports and dashboards, prepares and analyzes data, and contributes to data architecture and business intelligence initiatives. Assists with workflow automation, generative AI projects, process improvement, requirements gathering, testing, documentation, troubleshooting, user training, and system adoption. Collaborates with leadership, business users, IT, and vendors to improve data quality, reporting, automation, and operational decision-making.

Conduct qualitative and quantitative research on global financial crime compliance, including AML and sanctions regulations. Analyze market trends, enforcement actions, customer needs, and growth opportunities to support proposition strategy. Maintain trackers, reporting materials, OKRs, and research assets while producing recommendations, presentations, and briefings. Collaborate with product, marketing, sales, and proposition teams on market landscaping, segmentation, go-to-market initiatives, and strategic projects.

Analyzes business practices, data models, products, and customer needs to improve digital and firm experiences. Partners with product, technology, and business teams on strategy, competitive analysis, reporting, data modeling, and detailed specifications. Creates advanced SQL queries and normalized datasets, supports Agile initiatives, manages multiple assignments, and provides leadership, delegation, and associate development while maintaining risk and controls awareness.

Develop and optimize Power BI dashboards, reports, data models, and visualizations using DAX and multiple data sources. Translate stakeholder requirements and complex datasets into actionable insights, analyze procurement and operational data, support forecasting and executive reporting, and maintain data accuracy, governance, security, compliance, and documentation.

Develops custom reports, dashboards, forecast models, presentations, and visualizations for corporate immigration clients and legal teams. Gathers business requirements, analyzes data quality, verifies reports, identifies process bottlenecks, and recommends solutions. Provides reporting support for immigration petitions and applications, translates business messaging into data-driven insights, and coordinates reporting requests. Requires expertise in Excel, data visualization, business analysis, corporate immigration, and strong communication and organizational skills.

Analyzes complex business processes and workflows, documents business, functional, and technical requirements, and serves as a liaison among Operations, Quality Assurance, and technical teams. Facilitates requirements sessions, testing, approvals, training, troubleshooting, and process improvement initiatives. Independently leads low- to moderate-complexity assignments while managing changing priorities and supporting end users and IT staff.

Develops and manages enterprise business intelligence products, including semantic models, governed definitions, metadata, dashboards, and AI-assisted analytics capabilities. Translates complex business needs into measurable analytic solutions, advises stakeholders, supports adoption and training, and manages product lifecycle, quality, performance, and business impact. Partners with product managers and business leaders to prioritize work, manage risks, communicate value, and guide less experienced team members.

Support Data Services by analyzing and validating data using SQL and Excel, perform quality checks and reconciliations, monitor production workflows, communicate status and escalations, and identify process improvements. Act as liaison between business stakeholders and technical teams to ensure accurate, timely data deliverables.

The Business Analyst will support program performance, data-driven decision-making, and report generation while collaborating with stakeholders and ensuring data accuracy.

Designs and maintains BI datasets, data models, reports, dashboards, and visualizations. Extracts and transforms ERP data using SQL and related tools, develops Python or Excel/VBA reporting solutions, and creates QVD files from disparate sources. Partners with stakeholders and IT to improve data accuracy, security, documentation, processes, and decision-making through intuitive self-service analytics.

Analyzes constellation capacity, customer demand, product usage, revenue, pricing, and operational performance. Maintains and improves Python- and SQL-based workflows and business intelligence datasets, develops quantitative analyses for Product and Sales teams, and translates complex data into actionable recommendations for technical and non-technical stakeholders.

Analyze business data and build dashboards, models, and data products supporting growth and product decisions. Maintain data pipelines, integrations, and data quality across the organization. Collaborate with finance, product, sales, growth, and leadership teams on funnel analysis, sales forecasting, revenue reporting, product analytics, and marketplace insights. The role requires end-to-end ownership of analytical projects and hybrid work in Los Angeles or Boston.

Serves as a strategic liaison between business divisions and technical teams, translating business needs into data and analytics solutions. Conducts data analysis, gathers requirements, supports reporting and integration initiatives, evaluates solution risks, and prioritizes data projects. The role guides solution design, data architecture, data quality, master data, cataloging, and advanced analytics efforts while presenting insights to business and technical stakeholders.

Analyze, document, and validate functional and nonfunctional requirements for Capital Markets programs. Collaborate with stakeholders and technical teams to clarify objectives, processes, operating models, and regulatory requirements. Resolve requirement gaps, ambiguities, and dependencies while supporting data analysis, data mapping, governance, Agile practices, product ownership, and team leadership. The role requires B2C customer experience expertise, including investor experience definition, and is performed onsite in Richardson, Texas.

Develop enterprise business intelligence solutions by integrating multiple data sources, building data models, writing SQL queries, creating dashboards and reports, testing hypotheses, forecasting performance, and delivering actionable insights. The role involves requirements gathering, data governance, stakeholder engagement, executive presentations, cross-functional project leadership, and improving business processes, revenue generation, risk management, and customer experience.

Provides pharmaceutical commercial analytics and strategic decision support to marketing and commercial stakeholders. Analyzes performance, ROI, competitors, KPIs, and complex datasets; develops dashboards, reports, and presentations; automates and standardizes analytics processes; and coordinates project delivery, governance, prioritization, and stakeholder engagement across markets and centralized hubs.

Leads business requirements gathering, data analysis, and BI solution design for Pima County departments. Builds and maintains dashboards, reports, data models, and analytics solutions using BI tools and SQL. Manages small to mid-sized analytics projects, coordinates stakeholders, supports testing, resolves data issues, documents workflows, trains users, and recommends process improvements. The role is fully in-office in Tucson, Arizona.