Top Business Analyst Jobs

Build and maintain Tableau dashboards, reporting, and SQL queries while defining business metrics. Perform exploratory, statistical, forecasting, variance, and cohort analyses to support planning and business reviews. Collaborate with data engineering on pipelines, data quality, governance, and machine learning models. Use AI tools to improve analytical workflows and translate technical findings into business recommendations.

Develop and maintain enterprise Power BI reports, dashboards, analytical datasets, SQL queries, ETL processes, and data warehouse solutions. Partner with business stakeholders to prioritize reporting requests, ensure data accuracy and governance, improve analytics maturity, and enable self-service reporting. Support data integration across banking systems while communicating complex analytics concepts clearly and managing multiple requests.

Provides strategic business analytics for pharmaceutical commercial and marketing stakeholders. Analyzes performance, ROI, competitors, KPIs, market dynamics, and financial business cases; develops dashboards, reports, and presentations; standardizes and automates analytics processes; and supports governance, project delivery, prioritization, and leadership decision-making across markets.

Leads complex business intelligence and analytics initiatives, translating raw data into actionable operational and financial insights. Gathers business and technical requirements, develops proofs of concept, builds advanced dashboards and SQL queries, applies statistical and forecasting concepts, and presents recommendations to leaders. Independently solves ambiguous business problems, leads analytical projects, influences nontechnical stakeholders, and mentors junior team members.

Design and optimize ETL processes, data ingestion systems, streaming applications, and cloud data architectures using SQL, Python, Snowflake, AWS, and Redshift. Maintain and troubleshoot production data pipelines, integrate analytical outputs with business intelligence applications, optimize queries, and collaborate with analysts and engineers using Airflow and Databricks. Evaluate AI tools and emerging technologies to improve data warehouse workflows.

Analyzes e-commerce business requirements, documents processes, and communicates between business users and system development teams. Monitors and tests new development, manages user interfaces and application modules, and supports system interfaces. Requires advanced SQL, XML, database development, business process analysis, bilingual English-Korean communication, and over nine years of experience.

Designs and delivers data-driven audience, targeting, and measurement solutions for digital marketing campaigns. Translates business goals into technical requirements, improves data quality and reporting, standardizes audience documentation, and manages initiative execution, monitoring, issue triage, and alerts. Partners with Marketing, Product, and Technology on platform enhancements while identifying responsible artificial intelligence applications with human oversight, governance, explainability, and measurable outcomes.

Designs, develops, and optimizes sales reporting, data models, pipelines, and dashboards (Power BI, SQL, Excel). Leads Oracle ERP reporting initiatives, data governance, automation, and cross-functional analytics to deliver actionable commercial insights and mentor analysts.

Performs advanced business and data analysis for Planning & Development, develops Power BI dashboards, validates data and system functionality, and builds Python, JavaScript, SQL, and API-based automation. The role supports Accela and related systems, conducts quality assurance, documents solutions, advises stakeholders on data quality and performance, and delivers training and demonstrations.

Leads the full lifecycle of business analysis across Field, Accounting, Sales, Operations, and Technology teams. Defines requirements, business cases, ROI analyses, process improvements, data-quality standards, and solution impacts. Supports software testing, issue resolution, systems analysis, analytics, and strategic decision-making. The role also researches technology trends, presents recommendations to management, and mentors entry-level business analysts.

Develops scalable Power BI and Microsoft Fabric solutions, including dashboards, semantic models, data pipelines, and lakehouse architectures. Partners with stakeholders to define metrics, gather requirements, improve data quality, and deliver governed analytics. Uses SQL, Python, PySpark, DAX, and Power Query to transform and visualize enterprise data. Supports deployment, automation, user training, troubleshooting, and adoption. The role requires experience with Dynamics 365 Finance and Operations, corporate reporting, and preferably CPG or food manufacturing environments.

Develop and maintain BI reports, dashboards, visualizations, and semantic models using SQL, Power BI, SharePoint, and AWS QuickSight. Extract, cleanse, validate, and analyze data from multiple sources; define metrics; troubleshoot reporting issues; monitor refreshes and performance; and support governance, security, documentation, quality assurance, and stakeholder training.

Analyzes customer acquisition, lifecycle, segmentation, retention, and marketing performance for BillGO Exchange. Builds CAC, LTV, funnel, cohort, and churn analyses; develops dashboards and reporting; designs and measures experiments; identifies customer experience improvements; and translates complex data into actionable recommendations. Partners cross-functionally with marketing, product, customer success, growth, risk, and data engineering teams to improve acquisition, activation, retention, utilization, and profitability.

Collects and analyzes large datasets, develops data models, reports, and dashboards using BI tools, identifies trends, defines KPIs, and presents actionable insights. The role partners with cross-functional stakeholders to translate business needs into data requirements and support data-informed decision-making. Requires SQL, data visualization, ETL, and data warehousing knowledge, with Python or R familiarity preferred. This is a remote role requiring the ability to obtain Public Trust.

Analyzes healthcare, claims, customer service, clinical, and operational data to deliver routine and ad hoc reports, dashboards, KPIs, and actionable insights. Designs analytics projects from conception through reporting, develops statistical and data-mining methods, automates reporting processes, and partners cross-functionally with stakeholders to support health plan operations, strategic decisions, and process improvement.

Business Analyst supporting enterprise Customer and Party Master Data Management initiatives for financial services clients. Responsibilities include gathering requirements, mapping current and future-state processes and data flows, developing MDM blueprints, defining data governance and quality frameworks, documenting entity resolution and survivorship requirements, and supporting implementation roadmaps. The role requires close collaboration with business and technical stakeholders in a remote consulting environment.

Analyze sales, marketing, and operational data to create dashboards, reports, predictive models, and business insights. Lead data projects, build data models and pipelines, maintain reporting accuracy, support governance and quality initiatives, and communicate findings to nontechnical stakeholders. Collaborate with leadership and cross-functional teams to improve performance, forecasting, and operational efficiency.

Business/Systems Analyst supporting a data management program by bridging business and technical teams. Responsibilities include requirements gathering, user story development, SQL and data analysis, source-to-target documentation, data integration design, gap and root cause analysis, technical specifications, testing, reconciliation, dashboard requirements, documentation, and end-user training.

Analyze administrative datasets, review databases and reporting processes, create visualizations, support data integration, fulfill HUD and city reporting requirements, conduct operations research, and present findings to improve NYCHA decision-making and operational effectiveness.

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.

Analyzes customer support, CX, survey, and operational data to produce reports, identify trends and gaps, and inform continuous-improvement roadmaps. Elicits and documents requirements, user stories, acceptance criteria, process maps, and alternatives analyses for IT and automation initiatives. Maintains CX roadmap and gap-analysis artifacts, prepares governance briefings, supports KPI reviews and UAT, and collaborates with technical, business, and government stakeholders.

Technical Business Analyst supporting modernization of order management, fulfillment, integrations, and financial systems. The role translates business needs into requirements, process maps, specifications, acceptance criteria, test data, and validation evidence. Responsibilities include SQL-based reconciliation of legacy and replacement outputs, data mapping, report and interface validation, UAT coordination, issue investigation, and cutover readiness. The analyst also applies AI tools critically while validating results against system behavior and business rules.

Partners with data product owners, technical teams, and business stakeholders to identify data and analytics needs, define requirements, create user stories and acceptance criteria, and support backlog prioritization. Manages analytics support requests, investigates recurring issues and root causes, maintains legacy-report inventories, and recommends modernization and data-quality improvements. Supports adoption through documentation, training, communications, and outcome measurement while helping transition users to governed data products and self-service technologies.

The Senior Data Analyst will develop and improve Sigma dashboards, reporting, and business intelligence capabilities. Responsibilities include gathering stakeholder requirements, querying and analyzing complex datasets with SQL, improving data quality and governance, defining metrics, automating reporting processes, and partnering on Snowflake data modeling and warehouse improvements. The role also evaluates analytics tools, delivers actionable insights, and communicates findings to technical and non-technical audiences.

Build and maintain business intelligence dashboards, reports, and analytical views in Sigma Computing. Partner with data engineering and business stakeholders to define KPIs, develop scalable data models, improve data quality and governance, and deliver trusted self-service insights. Support Snowflake and dbt-based solutions, automate reporting workflows, and contribute to Agile planning and delivery using Jira and Confluence.