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.

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.

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.

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

Design and build BI solutions and dashboards to surface KPIs and drive decisions. Partner with stakeholders to define metrics, extract and model data (SQL/Python), automate reporting, validate data quality, and provide ad-hoc analysis and predictive insights to leadership.

Design and develop dashboards, self-service tools, reports, and data models to identify fraud trends and reduce loss. Perform statistical analysis, query and visualize data, create KPIs and tracking, and present insights with recommendations. Partner with business leaders to solve operational challenges and deliver scalable fraud reporting and analytics solutions.

The Lead Technical Business Intelligence Analyst leads a team providing technical expertise in analytics toolsets, driving data-informed decision-making, and developing solutions for organizational challenges across clinical, administrative, and operational areas.

Lead cross-functional analytics to inform clinical and operational decisions: build Tableau dashboards, create dbt analytical models, analyze large healthcare datasets (claims, EHR, HIE) with SQL, respond to ad-hoc requests via JIRA, and collaborate with product and engineering to improve data capabilities.

Design and administer enterprise dashboards and reporting solutions (Tableau, Power BI, Microsoft Fabric). Translate complex business questions into compelling data stories, partner with stakeholders and BI engineers, champion visualization standards and governance, mentor analysts, and improve reporting usability and trust across the organization.

Design, develop, and maintain Power BI dashboards and Excel reports. Extract, transform, and migrate data from multiple sources, ensure data accuracy, troubleshoot issues, document processes, and present findings to clients and senior leadership to support decision-making.

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

Serve as liaison between business stakeholders and technology to elicit requirements, evaluate solutions, and drive delivery of BI and data initiatives. Model and map processes, write SQL, support integration mapping, manage ADO/Agile product ownership, create technical documentation, and use BI tools (Power BI, Qlik, MicroStrategy). Ensure data governance, metadata management, and payments domain alignment while managing multiple projects and 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 job involves analyzing data to support business decisions and help improve profitability but lacks detailed responsibilities in the description.

Lead BI modernization by building SQL-driven dashboards and Looker/LookML Explores, connecting Snowflake/BigQuery to LLM APIs to automate analysis, and delivering executive-ready insights. Own validation, monitoring, and reconciliation frameworks, run cross-functional alignment meetings, and mentor the analytics team on practical generative AI and prompt engineering to accelerate reporting.

Perform BI and data analysis to build semantic and medallion models, validate warehouse data integrity, document data definitions and business rules, and develop/audit dashboards (Tableau/Streamlit). Partner with engineers and business stakeholders, support data governance, and participate in Agile processes while researching new analytics tools and best practices.

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.

Lead design and ownership of ZoomInfo's PLG measurement system, define KPIs and leading indicators, analyze end-to-end customer journeys, diagnose growth issues, and influence product investments. Build AI-native, automated analytics workflows, reporting, and monitoring while partnering cross-functionally to prioritize experiments and scale insights that drive adoption, retention, monetization, and expansion.

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.

Lead product analytics efforts to define KPIs, build measurement frameworks, analyze customer behavior, and generate insights that influence product and engineering decisions. Partner with Product, Engineering, and Data teams to design event tracking, run experiments, quantify opportunity sizes, and communicate recommendations through clear narratives and visualizations to drive product adoption, retention, and business outcomes.

Lead development and delivery of enterprise BI strategy: gather requirements, build dashboards and t‑SQL queries, partner with data engineering, mentor BI staff, and manage BI lifecycle to provide insights across the organization.

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.

Support enterprise BI data warehouse: perform ETL and data integration, develop SQL scripts, build and maintain SSRS reports and SSAS cubes, use Qlik for analytics, document solutions, support stakeholders and train end users.