Top Business Analyst Jobs

Supports enterprise applications, business systems, data platforms, and business intelligence solutions. Analyzes user needs, defines requirements, develops reports and dashboards, troubleshoots system issues, maintains security roles, documents processes, and coordinates projects with internal teams and external vendors. The role focuses on Microsoft Dynamics 365 CRM, data analysis, enterprise application support, process improvement, and translating business requirements into effective technology solutions.

Deliver strategic reporting and insights to executives and the Board; develop and track KPIs; build dashboards and visuals; perform ad hoc and project-based analyses; support forecasting, financial modeling, and data stewardship across the organization.

Support financial decision-making and reporting for annuities by processing loan documents, reconciling assets and cash with third-party trustees, maintaining assets in Markit WSO, delivering scheduled and ad-hoc reports and scorecards, tracking Moody's and S&P ratings, and acting as liaison among business leaders, vendors, and trustees to implement and monitor initiatives.

Supports information collection and organization for manuals, training materials, installation guides, proposals, and reports. Edits technical and customer-facing documentation, assists with financial and administrative tasks, and maintains systems, operations, and procedural documentation libraries. Collaborates remotely with project managers, requirements analysts, Scrum Masters, developers, testers, and government stakeholders in Agile ceremonies while complying with CUI and cybersecurity requirements.

Analyzes business and operational data to create dashboards, reports, forecasts, and actionable recommendations. Partners with sales, operations, shippers, carriers, and internal stakeholders to address business needs, automate processes, improve performance, and support revenue decisions. Maintains data sources, leads ad hoc analysis, manages initiatives and deadlines, escalates issues, and identifies process improvements.

Own core SaaS business metrics across Finance and Sales, including revenue, bookings, pipeline, conversion, retention, and margins. Build reliable metric definitions, financial and pipeline models, recurring reports, and production-quality SQL and Python analyses. Partner with leadership on forecasting, budgeting, board reporting, sales performance, pricing, segmentation, capacity planning, and go-to-market experiments. Translate trends and anomalies into actionable recommendations.

Supports data migration and conversion for a state government IT project. Responsibilities include documenting business requirements, translating requirements into functional and technical designs, profiling and cleansing data, writing complex SQL queries, developing source-to-target mappings, performing gap analysis, supporting testing and UAT, and collaborating with technical teams and data specialists.

Analyzes retail, e-commerce, platform, and user data to generate business insights, improve user experience, and support growth. Translates data needs into reporting systems and data products, partners with data engineers on the data platform, and promotes data-driven decision-making across business teams.

Analyze retail, e-commerce, and user data to generate growth and user-experience insights. Translate business data needs into reporting, data products, and platform solutions. Partner with business, product, technology, and data engineering teams to develop the data platform, respond to analytics requests, validate hypotheses, and promote effective use of data across the organization.

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.

Develops business intelligence reporting, financial data pipelines, scalable data models, and AI-driven applications for Product Finance. Uses SQL, Python, and BI tools to analyze cloud spending, automate financial workflows, identify cost anomalies, forecast spend, and generate executive insights. Partners with Finance, Engineering, and Data teams to deploy scalable analytical and generative AI solutions.

Leads data mapping and conversion initiatives for client onboarding, serving as a subject matter expert on schemas, financial balancing, and data transmission. Resolves data discrepancies, supports tax processing and implementation teams, develops scripts to optimize data loading, and ensures delivery against release timelines. The role requires strong SQL Server expertise, analytical and communication skills, project management capabilities, and financial trust accounting knowledge.

Intern will analyze and remediate data quality issues across enterprise applications, identify duplicate or inaccurate records, and help develop validation, monitoring, and governance processes. The role also researches AI-powered data management tools, documents requirements and future-state workflows, collaborates with business and IT stakeholders, and presents recommendations for improving data reliability and business processes.

Supports the Business Intelligence team by gathering requirements, analyzing data, building and migrating dashboards, developing reporting solutions, customizing datasets, and documenting processes. The intern collaborates with stakeholders and technical teams to improve decision-making, reporting workflows, and business performance. The role requires strong Excel skills, analytical ability, communication, problem-solving, and interest in business intelligence, data visualization, and AI-enabled tools.

Analyze complex business, account growth, product usage, and market data to identify actionable insights. Build financial models, executive sales dashboards, interactive reports, and data visualizations for senior leadership. Collaborate with product management, sales, finance, customer success, and leadership teams. Support customer segmentation, product analysis, data governance, workflow improvements, and data extraction through complex queries.

Analyzes business operations and development opportunities for a research-driven trading firm. Builds dashboards, predictive models, automation scripts, and data tools to support decisions. Mines and organizes data from systems such as accounting platforms and GitLab, improves business processes and communication, and coordinates with partners and vendors on compliance and trading operations.

Analyzes product, sales, orders, pricing, inventory, profitability, and market data to generate actionable insights for strategic and operational planning. Develops forecasts, competitive analyses, pricing recommendations, dashboards, reports, and presentations for senior leadership and cross-functional teams. Supports product configuration databases, inventory optimization, and customer and sales discussions using advanced analytics and visualization tools.

Lead analytics for healthcare products by developing end-to-end data models, KPIs, dashboards, funnel and cohort analyses, marketing attribution, and product performance insights. Partner with Product, Marketing, and Member Services to evaluate initiatives, identify trends and risks, and inform strategic decisions. Prepare executive business reviews and communicate data-driven recommendations. Requires advanced SQL, large-dataset analysis, modern analytics environments, AI-enabled workflows, and business intelligence dashboard development.

The Business Analyst will analyze business data, document requirements, provide insights, and support cross-functional teams. They will also guide junior members and adapt to fast changes.

Supports business development and strategy through competitive research, market comparisons, business intelligence, and performance reporting. Analyzes gaming, tourism, hotel, and revenue data to evaluate markets, expansions, property opportunities, and competition. Maintains industry databases, prepares corporate and board reporting materials, and uses generative AI, automation, and analytical tools to improve research and workflow efficiency.

Analyzes business and customer requirements to define metrics, measurement frameworks, and scalable Tableau dashboards. Partners with stakeholders across life sciences, healthcare, and sales organizations to deliver consistent, data-driven insights. Documents BI standards, ensures metric accuracy and security compliance, demonstrates expertise in relevant data sources, and manages dashboard requests through a Jira backlog while meeting delivery timelines.

Designs and maintains Tableau dashboards, reports, data models, and visual analytics solutions. Partners with stakeholders to define reporting needs, validates data, troubleshoots quality and performance issues, manages Tableau content governance, documents analytics processes, and supports users. Converts complex data into actionable insights for operational and strategic decision-making while improving reporting efficiency and reliability.

Captures and translates customer requirements into user stories, specifications, workflows, and acceptance criteria for Agile software teams. Builds datasets and visualizations, performs data management and quality remediation, establishes data governance, and supports integrations across AWS and ServiceNow. Facilitates stakeholder sessions, testing, training, documentation, and roadmap alignment while mentoring junior staff and supporting engineering delivery.

Performs advanced SQL analysis of large datasets to evaluate marketing ROI, campaign and channel performance, customer behavior, attribution, retention, and conversion. Develops KPIs, dashboards, business cases, experiments, and analytical recommendations while identifying data quality issues. Partners with Marketing, Analytics, Data Engineering, Product, and Technology teams and communicates findings to technical and business stakeholders.

Leads day-to-day operations and continuous improvement of an Analytics Data Governance program. Coordinates stakeholders, facilitates governance decisions, maintains standards and documentation, administers governance platform configurations, supports data domain onboarding, monitors program health, and develops enablement resources. Partners with business and technical teams to translate governance requirements into scalable processes, workflows, and platform capabilities while advancing cloud analytics initiatives and adoption.