Top Remote Business Intelligence Jobs

Lead Data Analyst responsible for advanced analytics, real-time dashboards, capacity modeling, and network performance insights. Collaborates with stakeholders to identify inefficiencies, run tests and pilots, and deliver actionable recommendations to improve service provider performance and network operations.

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.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

Lead and build Coupa's post-sale customer intelligence function: integrate structured and unstructured data, create diagnostic and predictive analytics for churn/expansion/adoption, define AI value measurement, and grow a team to deliver executive-level insights.

Lead GTM strategy and analytics to build headcount/capacity models, territory optimization, quota setting, predictive models, and BI reporting. Partner with Sales, Marketing, Finance, and Data to inform planning cycles, monitor pipeline and productivity, and deliver executive-level insights for growth and investment decisions.

Senior BI Platform Administrator to own enterprise BI infrastructure across Power BI, Microsoft Fabric, and Snowflake. Responsibilities include federated Power BI governance, Fabric AI Agent skill design and deployment, RBAC/RLS design, certified semantic model development, CI/CD and SRE practices for platform reliability, and measuring adoption. Partners with Data Engineering, IT Security, AI/ML, and business stakeholders to drive secure, performant analytics and AI-powered experiences.

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.

Lead revenue analytics by defining core KPIs, building executive reporting and experimentation frameworks, performing deep-dive analyses, and aligning data engineering and BI to create a single source of truth for sales performance and pipeline health. Translate findings into executive recommendations and support ad-hoc board-level reporting.

Lead and supervise a data analysis team responsible for designing, implementing, maintaining, and supporting data warehouse systems. Manage data reporting, modeling, dashboards, and BI solutions, ensure data quality and audits, provide on-call support, translate stakeholder requirements into technical solutions, document procedures, and mentor staff to meet SLAs and organizational objectives.

Own end-to-end marketing and business intelligence: build automated dashboards (Domo), query large datasets (SQL/Snowflake), report subscription funnel economics, analyze channel performance and A/B tests, troubleshoot data anomalies, and partner with leadership to set KPIs and prioritize analytics work.

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 global BI strategy and team to shift from reactive reporting to intelligence-first analytics. Own enterprise KPIs, data governance, data cataloging, and a modern cloud data stack (Databricks). Partner with cross-functional leaders, drive BI tool modernization, automate month-end processes, champion AI-driven insights, manage vendor relationships and BI budget, and build self-service, governed analytics across the organization.

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.

Support and develop BI applications for a client financial platform across environments. Build reports, analytics, and budgeting solutions (TM1), develop/tune Oracle SQL/PLSQL, deploy BI tooling, support UIs (low-code), follow Agile practices, and collaborate on integrations, security hardening, and operations.

Design, develop, and deploy Power BI reports and dashboards. Gather requirements, model and transform data, write DAX and SQL, integrate multiple data sources, ensure data security, and support end users.

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.

The Power BI Developer will build enterprise data models, develop and publish reports and dashboards, assist users with data requirements, and work on Azure technologies to support government initiatives.

The Power BI Developer will build enterprise models, develop dashboards, assist business users, and work with Azure and SQL to enhance data analytics capabilities for a Federal agency.

The Power BI Developer will build data analytics models, develop reports and dashboards, and assist business users with data requirements while working with government personnel.

The Power BI Developer will build data analytics models using Power BI, develop self-service analytics, manage data integration, and assist in requirements analysis for a Federal agency.

The Power BI Developer will build data analytics models, develop reports and dashboards using Power BI, and assist users with data requirements. Collaborate within an agile team and work with government personnel on technical support initiatives.

Develop enterprise data analytics models using Power BI, assist users with data requirements, and publish reports while utilizing Azure and SQL technologies.

The Power BI Developer will build enterprise data models using Power BI, develop self-service analytics, and assist business users with requirements while ensuring application security. The role requires collaboration with government personnel and technical expertise in Azure and SQL.