Top Remote Business Intelligence Analyst Jobs

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.

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.

Design, build, and maintain operational dashboards and SQL-based data models. Translate stakeholder questions into queries, validate data quality, migrate reporting to Databricks/dbt, document analytics, and support metric governance to deliver trusted operational insights.

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.

Provide tactical and strategic BI to marketing, sales, and finance by building dashboards, defining KPIs, analyzing performance, alerting and investigating changes, and partnering with data engineering to ensure data quality and reliable tracking.

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.

Perform quantitative and qualitative analysis, build reports and dashboards, produce datasets, troubleshoot data issues, and present findings to stakeholders. Collaborate across teams and third parties to define reporting specs, improve data quality, and recommend KPIs and best practices to support decision-making.

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 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.

Build and maintain executive and project-level dashboards, standardize and cleanse source data, define reporting conventions and KPIs, perform data quality checks, coordinate with stakeholders, and apply AI/LLM tools to improve reporting workflows and efficiency.

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

Partner with stakeholders to translate business needs into BI requirements, design and maintain BI solutions and semantic layers, analyze large payment datasets, enforce data governance and quality, deliver insights and reports, lead stakeholder meetings and training, mentor team members, and drive process improvements for data loading and analytics.

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.

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.

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.

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

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.

The role involves developing BI solutions, managing data processing pipelines, providing application support, and ensuring data governance and compliance.

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