Top Remote Business Intelligence Analyst Jobs

Partner with Finance, Accounting, and Revenue Operations to design and deliver Power BI analytics, semantic models, and decision support for forecasting, close, revenue, and spend analysis. Translate finance concepts into metrics, reconcile data across systems, collaborate with data engineering, and apply AI-assisted tools to automate and scale finance analytics for executives and business partners.

Design and maintain BI dashboards and reports to provide CI/CD and DevSecOps visibility. Integrate and validate data from pipelines, tools (e.g., Jira), and enterprise systems, develop KPIs, support data governance, and enable actionable insights across Scrum and O&M teams.

The Business Intelligence Analyst develops BI reports, communicates analytical findings, and supports Operations & Revenue Cycle Management through data-driven analyses and insights.

The Business Intelligence Analyst develops and delivers business intelligence solutions, creates Power BI dashboards, ensures data integrity, and collaborates with stakeholders to drive efficiency, enhancing NASA's exploration projects.

The Senior BI Analyst will gather requirements, develop scalable reporting solutions, and create dashboards using Power BI, ensuring data-driven decisions across the organization.

Analyze customer and operational data to produce reports, dashboards, and insights that identify compliance gaps, process improvements, and training needs. Support system onboarding and optimization, coach locations on system use, partner with Learning & Development, monitor regulatory/industry changes, and manage multiple BI projects to drive efficiency and strategic decision-making.

Support federal clients by analyzing accounting and finance data, producing technical documentation and formatted reports. Work requires US citizenship and eligibility for IRS MBI clearance. Must hold a bachelor’s in accounting, finance, economics, or business and demonstrate accounting/finance experience plus technical writing and document formatting skills. Remote role.

The Senior Business Intelligence Analyst will transform data into insights, design dashboards, and provide analytical support for strategic decisions, working closely with stakeholders and teams.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

Validate and QA data across UI and API sources, investigate issues, manage taxonomy mismatches, compile non-automated reports, and update/maintain dashboards (Power BI/Tableau). Collaborate with Business Strategy, Investment, and Analytics teams to resolve data and KPI anomalies.

The BI Analyst will create insights and visualizations, develop dashboards and reports, and collaborate with product teams to optimize business intelligence solutions.

As a Business Intelligence Analyst, you will manage analytics projects, build dashboards and reports using SQL and Snowflake, and work with stakeholders to translate data needs into actionable insights.

The job involves analyzing data to support business decisions and help improve profitability but lacks detailed responsibilities in the description.

The BI Analyst at Taxwell will serve as a consultant, leveraging insights to help the company optimize tax preparation software and enhance customer service.

Collect and analyze competitive intelligence and conduct due diligence and investigations on investment candidates and related entities. Design data collection methods, use research, network analysis and AI/automation tools to produce high-quality reports and actionable recommendations for senior stakeholders, and improve workflow productivity.

The Business Intelligence Analyst develops and maintains BI solutions, implements data ingestion processes, and creates Power BI reports, collaborating with stakeholders for data insights.

Develop and maintain complex datasets, build interactive dashboards and reports, support data warehouse implementations, analyze internal and external healthcare data to inform decisions, provide end-user support, and act as a subject-matter expert in healthcare analytics and value-based care.

Lead design and delivery of end-to-end BI solutions and market-facing analytics tools. Define strategy and roadmaps, translate business needs into requirements, guide development and testing, oversee deployments, ensure data governance, and liaise with stakeholders to prioritize fixes and maintain documentation and compliance.

The Business Intelligence Analyst analyzes complex data for finance teams, develops reports and dashboards, and enhances financial reporting solutions. They collaborate with teams to ensure reporting accuracy and alignment with business needs.

Own end-to-end BI projects: build and maintain dbt models and SQL pipelines in Snowflake, architect OMNI dashboards, ensure data quality, automate reporting, apply statistical methods for insights, lead ROI and causal analyses, and partner with finance, GTM, and customer success to drive data-informed decisions.

Own and cleanse payments data to produce accurate Power BI dashboards and forecasts. Analyze interchange, ACH, VCC, and check costs to identify margins and optimization opportunities. Deliver executive-level storytelling, perform rigorous reconciliations, and act as an internal consultant to guide resource allocation and reduce payment costs.

As a Business Intelligence Trainee, you will develop BI dashboards, collaborate with stakeholders, conduct data validation, and utilize BI tools.

As a Data Analyst, you will drive innovation and growth by transforming data into actionable insights, helping to improve decision-making and business outcomes.

The Business Intelligence Analyst will analyze pharmaceutical transaction data, develop visual data models, and collaborate cross-functionally to drive insights and improvements in business strategies.

Own end-to-end data pipelines for multiple clients: extract, clean, transform, model and visualize data. Build dashboards and automated workflows, apply AI where useful, and present actionable insights to non-technical stakeholders.