Top Business Analyst Jobs

Analyzes credit card product, customer, marketing, credit risk, and operational performance. Builds queries, models, and dashboards; develops business cases and data-driven recommendations; monitors post-launch results and emerging risks; and collaborates with product, finance, marketing, technology, analytics, risk, and operations stakeholders to support growth, efficiency, and strategic initiatives.

Analyzes account portfolio whitespace, pipeline, deal performance, campaign attribution, rep productivity, budgets, forecasts, and expenses. Builds models and executive reporting to improve revenue planning, forecast accuracy, and account management decisions. Partners with Account Management, Finance, Marketing, Contract Administration, and regional leaders; validates Salesforce data and translates complex findings into actionable recommendations.

Leads business and system requirements gathering, stakeholder solutioning, documentation, configuration, troubleshooting, quality assurance, testing, and release-note coordination. The role supports customization requests, reviews configurations, oversees project testing, monitors junior business analysts, and helps deliver solutions for fintech and financial-services clients.

Paid, full-time 11-week business analyst internship supporting department projects and team initiatives at Spectrum. The intern will analyze business challenges, ask investigative questions, help teams understand root causes, and contribute to capability improvements. The program includes professional development, mentorship, networking, community service, cross-functional projects, and presentations. Candidates must be rising seniors pursuing a bachelor's degree, maintain at least a 3.0 GPA, travel locally to program events, and work in the U.S. without sponsorship.

Paid, full-time business analyst internship supporting field tools and technician productivity. Responsibilities include gathering and documenting requirements, analyzing operational data, mapping workflows, translating stakeholder needs into technical language, validating and visualizing data with SQL and spreadsheets, and assisting with Agile project tracking. Interns also participate in professional development, networking, mentorship, cross-functional projects, and final presentations.

Leads business performance analytics and reporting initiatives, developing Power BI dashboards, KPI frameworks, scorecards, forecasts, and actionable insights. Partners with business leaders to translate needs into reporting solutions, performs root-cause and trend analysis, validates data, establishes governance standards, and mentors analysts. The role combines hands-on reporting development, analytical problem-solving, performance measurement, and cross-functional initiative leadership.

Supports aftermarket aviation services by identifying and modeling business opportunities, analyzing operations, customers, competitors, and market factors, and improving data-driven tools for account management and repair center optimization. The intern will help clean, organize, model, and visualize data while supporting business lifecycle initiatives and operations optimization. The role is fully remote and includes participation in BAE Systems’ LEAP internship program.

Analyze lifecycle marketing communications across channels, segments, and lifecycle stages to identify engagement, monetization, and retention insights. Partner with Lifecycle Marketing stakeholders, design and evaluate A/B tests, build dashboards and reports, develop data models, and present recommendations that improve targeting, timing, content, and member experience.

Apply strategic analytics to workforce planning, design evaluation frameworks for HR programs, develop tools and automated insights to retain and develop talent, prototype AI-first data solutions, and analyze internal and external workforce data to inform executive HR decision-making.

Leads strategic and quantitative analysis for Commercial Risk Management, supporting credit risk model development, underwriting, loss forecasting, and performance improvements. Evaluates model prototypes using data visualization and storytelling, translates technical findings into business recommendations, tests hypotheses, develops monitoring plans, and partners with model developers, credit officers, underwriters, finance, and relationship managers to implement solutions.

Analyzes financial data and systems, develops SQL queries and stored procedures, supports system implementations and workflows, creates actionable reporting, evaluates process improvements, and communicates financial and operational impacts. The role partners with business and technology teams to refine requirements, troubleshoot systems, recommend changes using analytics, and improve solutions involving SQL, SSIS, Databricks, and Python.

Analyze business operations and complex datasets to identify trends, opportunities, and challenges. Use SQL, statistical methods, hypothesis testing, and Power BI to develop dashboards, executive reports, and actionable recommendations. Translate business requirements into analytical frameworks, design tests measuring incremental growth, collaborate with cross-functional stakeholders, and lead projects from initiation through completion.

Analyze business operations and large datasets to identify trends, opportunities, and challenges. Apply statistical and experimental methods, build SQL-driven analyses, create Power BI dashboards, and deliver executive-level insights and recommendations. Translate business requirements into analytical frameworks, promote meaningful testing and data collection, collaborate with cross-functional stakeholders, and lead projects from initiation through completion.

Analyze talent acquisition data to identify recruiting opportunities, build models and data products, design measurement strategies and experiments, automate insights, and provide strategic recommendations. Partner with HR leaders, recruiters, analysts, and business stakeholders to improve candidate and interviewer outcomes, define requirements, communicate findings, and lead solutions from ideation through implementation and monitoring.

Analyze business challenges and opportunities within Global Payment Network. Develop strategic and tactical recommendations, model products and pricing, evaluate credit risk, conduct market and operational analyses, test hypotheses, assess solution feasibility, and support implementation. Collaborate with Product, Business Development, IT, Sales, Operations, Finance, and management to improve quality, volume, service, and profitability.

Analyze commercial banking challenges and opportunities, develop strategic recommendations, model lending and pricing strategies, assess credit risk and portfolio performance, support new product launches, and collaborate with IT, Sales, Operations, and Finance to improve profitability and growth.

Conduct exploratory and hypothesis-driven analysis across disparate data sources to identify business opportunities, risks, and causal relationships. Build metrics, reports, and dashboards to monitor performance and experiments, while partnering with decision-makers to communicate insights and improve data-driven decisions. Contribute to data structure modernization, modeling, and ETL initiatives while managing multiple analytical projects.

Leads broadband business intelligence initiatives by analyzing complex datasets, developing cross-functional dashboards and reporting structures, guiding data strategy, and delivering customer and business performance insights. Presents advanced analyses and strategic recommendations to senior leadership. Requires expertise in SQL, ETL, data visualization, reporting design, and analytical modeling, with collaboration across technology, finance, marketing, telecom, supply chain, and procurement teams. This is a hybrid role requiring at least three days per week in the office.

Business Systems Analyst gathers stakeholder requirements, translates business needs into technical specifications, and builds dashboards and reports using BI tools. The role analyzes operational and fraud metrics, identifies automation and process-improvement opportunities, validates data quality, reconciles discrepancies, and communicates findings through stakeholder updates and incident summaries. It requires advanced SQL, dashboard development, requirements gathering, gap analysis, and strong analytical and communication skills in a hybrid office environment.

Senior individual contributor leading end-to-end business and systems analysis for complex finance and compensation systems. Drive requirements, assess system impacts, investigate data discrepancies, and recommend scalable solutions. Partner cross-functionally with Finance, IT, Product, and Operations. Mentor analysts, present findings to senior leaders, and ensure systems align with financial controls and operational requirements.

Develops business intelligence solutions, dashboards, scorecards, and reports using retail, dealer, customer, and operational data. Conducts geospatial and market opportunity analysis to support growth, facility planning, and dealer network strategy. Partners with stakeholders to define analytical requirements, communicates actionable insights, and drives adoption through training and documentation. Supports transformation initiatives through data analysis, measurement frameworks, process improvement, and automation.

Leads solutions analysis and technical program delivery for cloud business operations. Translates business requirements into technical solutions, analyzes large datasets, manages public cloud cost allocation and billing, investigates spending changes, and provides financial insights for budgeting and forecasting. Collaborates with Finance, Accounting, Engineering, product owners, and FinOps stakeholders while applying AI-assisted analysis, validating outputs, and managing ambiguity and change.

Develop revenue, yield, and business intelligence analyses; build scalable SQL- and Python-based solutions; create and maintain Tableau dashboards; conduct statistical analyses, discrepancy checks, and A/B testing; identify business opportunities; and communicate actionable insights to stakeholders across sales, account management, publisher, DSP, agency, and executive teams.

Supports project planning and senior leadership through predictive modeling, historical data management, Power BI dashboards, automated Excel workbooks, data warehouses, forecasting, and enterprise reporting. Coordinates with Finance, Contracts, Project Management, and shipyard stakeholders to develop workflows, analyze schedule and cost performance, prepare ad hoc reports, and brief project findings. The role also applies AI and machine learning to data engineering, analytics, visualization, and predictive modeling.

Support data-driven business decisions, improve existing processes, and develop and manage new metrics. The role requires SQL proficiency, business intelligence reporting and dashboarding with Tableau or Power BI, and the ability to prioritize work in a fast-paced environment. Experience in e-commerce or internet services and programming knowledge in Python or R are preferred.