Top Business Analyst Jobs

Support the Advanced Innovations Team by researching market and technology trends, designing and assessing pilots (AI/automation), analyzing processes, defining success metrics, preparing reports/dashboards for leadership, coordinating pilots with stakeholders and vendors, monitoring risks and outcomes, and scaling successful initiatives.

The Senior Business Intelligence Analyst will design and maintain enterprise-level data models, dashboards, and analytics solutions, optimizing SQL queries and ensuring data quality across systems to support strategic decision-making.

Design and maintain KPIs, data infrastructure, and automated reporting to measure operational safety and resilience. Build scalable data models and ETL pipelines, analyze agent response performance, quantify operational capacity, and partner cross-functionally to deliver actionable insights that improve operations and inform AI model training.

Define and own growth metrics (activation, promo redemption, loyalty); build full-funnel performance tracking and paid media tracking infrastructure; provide channel-level reporting to guide marketing and product decisions; ensure data quality and instrumentation; translate business questions into data requirements and perform deep-dive analyses to inform growth strategy.

Lead client-facing analytics engagements: translate ambiguous business questions into data models, dashboards, and KPIs; write production-quality SQL and dbt models; build BI reporting; apply AI tools to accelerate analysis; drive proactive insights; set stakeholder cadence; and mentor junior analysts to ensure adoption and delivery.

Supports sales operations by maintaining client, asset, cash flow, and CRM data accuracy. Processes vendor data, identifies discrepancies, supports data governance, documents processes, communicates analyses, and helps define requirements for business systems and projects. Collaborates with sales, operations, technology, and global stakeholders to improve data-informed decision-making and reporting.

Analyzes customer, marketplace, product, financial, merchant, and transaction data to identify trends, risks, and growth opportunities. Builds analytical frameworks for new products, markets, and strategic initiatives; validates data sources and metrics; investigates anomalies; and develops actionable recommendations. Communicates insights through dashboards, presentations, and concise storytelling to senior executives, cross-functional leaders, and the Board. Partners with Product, Engineering, and Data teams to improve decision-making and uses emerging AI tools to accelerate analysis.

Build and maintain BI dashboards, reporting products, trusted datasets, and scalable analytics models using Snowflake and dbt. Develop semantic models, implement KPIs, optimize SQL and reporting performance, validate data quality, and support self-service and executive reporting. Partner with cross-functional teams, improve analytics engineering practices, use AI-assisted development tools, troubleshoot reporting issues, and mentor junior analysts and engineers.

Leads business and data analysis for payment platforms including ACH, Wire, SWIFT, RTP/FedNow, and cross-border payments. Defines requirements, data mappings, architectures, testing strategies, and control frameworks while partnering with business, engineering, architecture, risk, and compliance teams. Uses Python, SQL, BI tools, and AI/ML platforms to generate insights, automate reporting, improve reconciliation, predict failures, and strengthen fraud and regulatory monitoring. Supports ISO 20022 modernization and intelligent, scalable payments operations.

Lead analytical projects that translate complex claims data into actionable insights for business strategy and client outcomes. Develop SQL queries, Python tools, dbt models, automated reporting, ROI analyses, and Looker dashboards. Define KPIs, ensure data quality, mentor junior analysts, and partner with clients and cross-functional leaders to explain AI recommendations, uncover business problems, and influence product direction, client retention, and opportunity prioritization.

The Senior Business Analyst is responsible for functional analysis, scenario planning, predictive modeling, and bridging business and technical requirements to enhance decision-making through advanced analytics.

Support continuous improvement by partnering with stakeholders to define KPIs, analyze large datasets, and build Power BI dashboards and reports. Use SQL, Excel, and AI tools to extract, validate, and visualize data, deliver insights to senior leadership, and drive process automation and scalability across business units.

Perform data-driven analysis and reporting to inform product and sales strategy, conduct market and competitor research, liaise with parent company in Korea, support new product development, create presentations and monthly/annual reports, and fulfill special projects for executives while providing administrative and cross-functional support.

The Power BI Analyst develops and maintains dashboards for decision-making and performance reporting at CBP's Network Operations Center. Key duties include designing dashboards, integrating data, ensuring accuracy, and conducting analytics.

The BI Analyst/Programmer at Howmet Aerospace will develop data analytics tools and applications, particularly using SQL, to enhance business processes in manufacturing. Responsibilities include programming, user support, and continuous learning and development aligned with technology changes.

The Business Performance Analyst evaluates business performance, communicates metrics, analyzes trends for process improvements, and manages resources across initiatives.

Serve as the bridge between Finance/Accounting and IT to translate requirements into ERP/financial system solutions. Lead process harmonization, data governance, cleansing, migration and reconciliation, and identify automation/reporting improvements. Support vendor evaluations, UAT, training, change management, and stakeholder engagement to drive system adoption and operational readiness.

Designs, develops, and maintains BI data models, reports, dashboards and visualizations. Extracts and transforms ERP transactional data, coordinates QVD file creation, meets stakeholders to gather requirements, and implements best practices for data accuracy, security, and self-service analytics. Uses SQL, BI tools, Python or Excel/VBA to drive business insights and operational efficiencies.

Design, build, and maintain Power BI semantic models, reports, and dashboards; migrate Qlik Sense to Power BI; perform pricing and margin analytics; extract and model ERP and transactional data; support governance, data quality, and stakeholder decision-making.

The Senior Business Systems Analyst leads data requirements for enterprise data initiatives, bridging business and technology to ensure data governance and quality in a regulated financial environment.

The analyst will drive analytics behind sales growth, improve data quality, automate reporting, and provide insights for decision-making across Xylem's operations.

Lead and define Canary's analytics function: own analytics strategy, platform architecture, data pipelines, dashboards, KPIs, and governance. Enable self-serve analytics, deliver insights to leadership and cross-functional teams, and work directly with enterprise customers on reporting and integrations.

Lead identification and implementation of AI-driven process improvements and automations. Build and maintain LLM-based workflows, write SQL and Python for data extraction and analysis, create dashboards and operational reporting, monitor deployed automations, and partner with leaders to scale reusable tools that reduce manual work and improve decision-making.

The Business Intelligence Analyst will manage a team to develop and report cost data, oversee BI strategy, and drive analytics solutions across the organization, ensuring alignment with business requirements and technical standards.

Lead consumer analytics to drive subscriber growth: analyze LTV, CAC, churn, build forecasting models, create dashboards, perform pricing and market research, support A/B testing, and present insights to cross-functional stakeholders.