Top Business Analyst Jobs

Owns discovery and requirements for complex, cross-functional data, automation, and AI initiatives. Structures ambiguous problems, creates requirements and process artifacts, facilitates senior stakeholder alignment, evaluates tradeoffs, supports prioritization, and anticipates integration and downstream impacts. The role also mentors business analysts, reviews their work, improves analysis standards, and promotes knowledge sharing. Experience with data platforms, analytics, workflow automation, AI initiatives, requirements management, and stakeholder facilitation is required.

Collects, analyzes, and interprets data to support business decisions and improve operational performance. Develops automated reports, dashboards, and visualizations; performs statistical and data-mining analysis; supports labor, financial, and operational reporting; ensures data integrity; partners with departments on data-driven solutions; recommends process improvements; and assists with databases, integrations, system implementations, and analytics documentation.

Designs and maintains executive dashboards, reports, semantic models, and automated analytics solutions using Power BI. Defines enterprise KPIs, data standards, and business rules while integrating data from ERP, CRM, manufacturing, SQL, and cloud systems. Partners cross-functionally with senior leaders to deliver insights, improve data quality, support master data management, and enable scalable self-service analytics and data-driven decision-making.

Develop and manage enterprise Power BI dashboards, semantic models, data integrations, and automated reporting for global commercial operations. Analyze Salesforce and other business data using SQL and Python, support sales performance, territories, forecasting, compensation, and executive decision-making. Own reporting reliability, data quality, governance, troubleshooting, and documentation while partnering with Sales, Finance, Marketing, IT, and commercial leadership.

Supports federal data integration for NOAA Fisheries by documenting requirements, analyzing source data structures, performing data mapping, writing user stories and acceptance criteria, facilitating stakeholder workshops, tracking approvals, developing training materials, maintaining traceability matrices, and contributing to progress reports. The role focuses on integrating marine and anadromous species data into a unified Endangered Species Act platform.

Analyze structured and unstructured data to identify trends, develop dashboards and reports, establish KPIs, and provide actionable recommendations to leadership. The role owns complex analytics deliverables, supports forecasting and process improvement, communicates insights to stakeholders, responds to ad hoc reporting needs, and leads small projects and initiatives.

Designs and delivers predictive, prescriptive, and diagnostic analyses that guide strategic decisions. Owns the analytical lifecycle, including hypothesis development, statistical and machine learning modeling, experimentation, metric governance, data quality, documentation, and executive insight delivery. Partners cross-functionally to define meaningful KPIs, validate analytical outputs, lead analytics projects, measure business impact, and strengthen organizational analytical capabilities through training and methodological guidance.

Designs and improves business intelligence, analytics, visualization, and AI-assisted solutions for Kawneer. Develops Power BI dashboards, KPIs, semantic models, and analytical experiences; supports Microsoft Fabric and related platforms; partners with stakeholders to translate business questions into actionable insights; improves data accessibility, quality, consistency, and trust; and evaluates emerging analytics and AI capabilities for business value.

Leads business analytics engagements, translating stakeholder needs into data requirements, models, dashboards, forecasts, statistical analyses, and actionable recommendations. Performs data exploration, querying, modeling, and visualization across large datasets; supports data governance, quality, security, and stewardship. Mentors analysts, communicates insights to leaders, collaborates with enterprise data teams, and identifies opportunities to apply machine learning in business decision-making.

Build and maintain BI dashboards, reports, data models, and ETL/ELT pipelines using SQL, Python, cloud platforms, and visualization tools. Translate business needs into standardized KPIs and actionable insights for Finance, Operations, HR, Marketing, IT, and leadership. Ensure data quality, governance, security, and documentation while supporting forecasting, automation, AI-enabled analytics, and process improvement.

Develops and supports business intelligence tools, reports, and analytical applications. Gathers business requirements, evaluates data, troubleshoots reporting issues, recommends system designs, and collaborates with leadership and BI teams. The role also establishes BI best practices, documents processes, validates solutions, and provides technical support for data warehouse and multidimensional data mart users.

Build and enrich core datasets, assess data quality and ingestion needs, translate operational challenges into analytics solutions, and deliver insights that reduce costs and de-risk supply chain operations. The role also coordinates contributors, supports cross-functional digital deployments, and scales data assets across aerospace programs.

Analyzes site performance data, identifies KPI root causes, synthesizes field feedback, and develops actionable recommendations for a multi-year SAP S/4HANA transformation. The role prepares executive reporting for Steering Committee, sponsor, and stage-gate reviews; tracks value realization; designs reporting templates, data models, and recurring tracking mechanisms; and supports leadership decision-making. It partners with field and business stakeholders and may guide analysts without formal supervisory responsibility.

Develops business intelligence tools, reports, and analytical applications; gathers requirements, evaluates data, troubleshoots reporting issues, and recommends solutions. The role collaborates with leadership and BI teams, supports data warehouses and multidimensional data marts, establishes BI best practices, documents processes, and ensures compliance with enterprise standards.

Administers and secures Microsoft SQL Server databases, supports database-driven applications, and develops Power BI analytics solutions. Manages backups, recovery, performance, security, integrations, and production support. Administers the Alation data catalog and advances metadata management, data governance, stewardship, data quality, and literacy. Partners with business and technical stakeholders to gather requirements, improve processes, resolve complex issues, and deliver reliable, governed data services. Occasional after-hours work and travel may be required.

Analyzes HR, statistical, and clinical data to identify trends, outcomes, and actionable insights. Prepares accurate reports and studies, maintains data integrations and databases, supports special projects, and partners with leaders. The role also focuses on data integrity, process automation, and developing on-demand descriptive analytics tools.

Own commercial performance reporting, benchmarking, Power BI governance, data stewardship, and self-service analytics. Translate operational, financial, customer, contract, and market data into executive insights supporting pricing, renewals, budgeting, customer governance, and strategic decisions. Establish reporting standards, data definitions, quality controls, and a single source of truth while leading adoption, change management, user training, and cross-functional collaboration with Commercial, Finance, Operations, and IT.

The Business Data Analyst analyzes data to identify trends, correlations, anomalies, and actionable insights for Canadian Operations. They partner with business stakeholders, create compelling data narratives, develop reports and visualizations, and support data-driven decision-making. Responsibilities include maintaining standards for metrics, governance, documentation, testing, and visualization while translating complex analyses into recommendations for non-technical audiences.

Supports federal-sector clients through business analysis, financial and operational data analysis, dashboard and report development, KPI tracking, requirements gathering, process improvement, data validation, and reporting automation. The role translates business needs into functional specifications, collaborates with technical and government stakeholders, supports UAT and Agile delivery, and communicates insights to program leadership. It also contributes to data governance, quality control, documentation, and enterprise reporting for project controls, facilities, assets, and capital programs.

Analyzes aviation business data, develops reports and dashboards, identifies operational trends, supports business cases and ROI analyses, and provides insights for process improvement. The role gathers requirements, supports system implementations and user acceptance testing, collaborates with IT and vendors, monitors sales, repairs, inventory, and operations data, and communicates recommendations to stakeholders. This is an onsite position supporting GA Telesis’s Maintenance, Repair & Overhaul division.

Paid, full-time 12-week internship analyzing Finance business processes, identifying efficiency improvements, building dashboards, automating workflows, and presenting insights to business leaders. The intern will collaborate across teams while developing practical skills in SQL, Power BI, Power Automate, Excel, and business analytics. Applicants must be junior-status college students pursuing a bachelor's degree in finance, IT, or analytics, with data analysis coursework or internship experience.

Leads business intelligence and analytics initiatives by analyzing complex operational and financial data, developing predictive and scenario models, and building dashboards and reports. Partners with Operations, Finance, Marketing, and leadership to deliver actionable recommendations, track performance, and support strategic decisions. Mentors junior analysts and trains stakeholders on reporting and self-service BI tools.

Leads fraud analytics, modeling, reporting, and strategy development for credit card and retail banking businesses. Identifies fraud trends, manages fraud rules and detection strategies, designs mitigation approaches, analyzes process gaps, and partners cross-functionally to execute priorities. Mentors junior team members and may manage staff while communicating analytical insights and recommendations to stakeholders.

Liaises between business stakeholders and technology teams to define requirements, analyze processes and capability gaps, evaluate data sources and interfaces, and develop reports with findings and solutions. The role supports business planning, technology and operational standards, risk assessment, compliance, and continuous performance improvement. It requires strong analytical, problem-solving, communication, interpersonal, and influencing skills, along with at least five years of business or systems analysis experience.

Provides advanced departmental analytics and reporting support by developing dashboards, optimizing SQL, managing Git-based CI/CD practices, and analyzing complex data. Serves as a technical SME, leads reporting environment improvements, supports audits and compliance testing, coordinates system and project implementations, and communicates insights and recommendations to management and cross-functional stakeholders.