Top Remote Business Intelligence Jobs

Lead and scale Runpod’s analytics and business intelligence function, managing analysts and BI practitioners while setting the analytics roadmap. Own core company metrics, consumption and marketplace analytics, self-service reporting, experimentation practices, and executive and board-level insights. Partner with Product, Finance, Engineering, Security, Supply, and Go-to-Market leaders to improve data quality, modeling, decision-making, and strategic outcomes.

Lead CX data intelligence initiatives using SQL, dashboards, analytical models, and AI/LLM techniques. Analyze customer journeys, operational metrics, churn risks, and retention indicators; develop insight agents and self-service reporting; define CX health metrics; and translate findings into strategic recommendations, process improvements, and experiments. Partner with operations, support, product, data, and engineering teams while maintaining data quality, governance, and documentation.

Design, develop, and maintain Tableau and Power BI dashboards and data solutions for Supply Chain. Implement AI/ML models with Enterprise AI team, build ETL pipelines, perform ad-hoc analysis and automation, own KPIs, ensure data governance, provide training/support, and participate in QA and UAT to deliver actionable insights for operations.

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.

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.

Supports a defined summer project involving financial analytics, business intelligence, automation, process improvement, or emerging technology. The intern analyzes datasets, develops dashboards and reports, identifies efficiency opportunities, partners with finance and technical teams, and presents recommendations to leadership. The role provides hands-on experience with data-driven decision-making, reporting optimization, AI use cases, and enterprise financial analytics.

Leads the design, development, implementation, and support of business intelligence solutions, including dashboards, reports, data models, pipelines, and reporting frameworks. Translates complex business requirements into scalable data solutions, ensures data quality and HIPAA compliance, resolves technical issues, evaluates emerging technologies, and mentors team members. The role manages staff, leads projects, partners with internal and external stakeholders, and communicates technical concepts to business and executive audiences.

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.

Own the reporting and data capability for an Engineering Transformation Programme. Integrate engineering, workforce, product, and programme data; define metrics frameworks; build executive dashboards; establish reliable data pipelines; identify trends and data quality issues; and translate stakeholder needs into trusted, actionable insights. The role supports engineering leaders and may expand into self-service reporting, quality signals, and long-term Engineering Operations data strategy.

Own executive reporting and data strategy for autonomous vehicle system performance. Lead the weekly Software Performance Review, develop board-level reporting, analyze robotics and autonomy metrics, translate technical findings into strategic recommendations, and establish data visualization standards. Partner cross-functionally across engineering and performance teams, create data-driven feedback loops, and mentor Business Analytics and Business Intelligence engineers.

Lead ownership of BI reporting infrastructure: build and standardize dashboards, extract insights from messy third‑party data, partner with marketing teams to drive performance optimization and deliver proactive retrospective analyses that influence business decisions.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.

Design and deliver end-to-end BI architecture, dashboards, self-service reporting, and predictive analytics. Integrate analytics into the CMM application, enforce data governance, ensure performance SLAs, support AI/ML solutions, and collaborate with stakeholders to translate business requirements into scalable reporting and metadata processes within a regulated environment.

Serve as analytics partner to SIU and Payment Integrity teams to develop dashboards, financial and operational reports, analyze healthcare claims, design statistically valid sampling for audits, support investigations and recoveries, improve data quality, and communicate insights to leadership to drive savings and efficiency.

Leads advanced business intelligence and analytics initiatives, translating complex business needs into scalable enterprise solutions. Performs forecasting, scenario analysis, data preparation, validation, and troubleshooting using SQL, Python, and BI tools. Advises business leaders, defines requirements, supports data modeling and governance, improves self-service analytics, mentors analysts, and promotes data literacy. The role drives analytics maturity, data quality, process improvements, and strategic decision-making across the credit union.

Reviews, develops, validates, and refines dashboards, reports, visualizations, calculations, data sources, KPIs, and analytical workflows across BI platforms. The role documents findings, provides structured feedback, troubleshoots reporting accuracy, and evaluates AI-powered agents and workplace connectors used in analytics processes.

Develops scalable business intelligence and analytics solutions for financial, operational, clinical, and healthcare initiatives. Extracts, transforms, and analyzes data; builds ETL pipelines, reports, models, and applications; performs ad hoc analyses; improves data quality and architecture; and translates stakeholder needs into actionable insights. Collaborates with population health and cross-functional teams to support value-based care, provider outcomes, and strategic decision-making.

Develop and maintain Microsoft Power Apps and Power BI solutions for federal customers. Build data models, DAX measures, Power Query transformations, dashboards, reports, gateway connections, scheduled refreshes, and security controls. Integrate SQL Server and external data sources, perform data quality analysis, support accessibility and ATO compliance, and collaborate with product owners and technical teams in Agile ceremonies. Document solutions, manage artifacts with Git, and translate business requirements into actionable applications and reporting.

Develops and maintains Power BI dashboards and data models, defines KPIs with stakeholders, validates data accuracy, and collaborates with Data Engineering on optimized analytical models. The role documents data lineage and reporting assumptions, supports self-service BI through communications and training, and automates manual reporting processes. It requires SQL, Power BI, DAX, Power Query, data modeling, and data warehouse knowledge, plus strong communication and cross-functional collaboration skills.

Develop and maintain Amazon QuickSight dashboards in a secure CMS environment supporting healthcare quality improvement programs. Responsibilities include gathering requirements, creating analyses and visualizations, validating data and calculations, documenting dashboards, conducting user acceptance testing, troubleshooting, and supporting deployment. The role also develops Tableau visualizations, performs ad hoc analysis, coordinates with stakeholders, and communicates technical findings and dashboard guidance.

Drive business intelligence and commercial analytics for SMB Sales by translating performance data into recommendations, dashboards, forecasts, and action-oriented insights. Partner with sales leaders and clients, investigate trends and risks, automate reporting and workflows using SQL and AI tools, and communicate findings to technical and executive audiences. The role requires independent problem-solving in an ambiguous, fast-moving environment and supports AI solution adoption, partner performance, and business growth.

Leads enterprise business intelligence and analytics across multiple divisions and locations. Establishes governed KPI definitions, reporting architecture, financial and operational analytics, semantic models, data-quality practices, and self-service reporting. Partners with FP&A, IT, Finance, and Operations to align analytics with financial results, guide technical delivery, evaluate BI platforms, and support forecasting and performance improvement. Directs internal or external development teams and communicates actionable insights to executives and operating leaders.

Supports the Mortgage Lending Division by producing and maintaining routine reports, dashboards, data extracts, and basic analyses. Validates data accuracy, automates reporting where appropriate, documents procedures, investigates trends and audit issues, and responds to operational reporting needs. The role involves learning internal systems, metrics, and business processes while collaborating with stakeholders. Candidates should have basic Excel and data visualization skills, foundational SQL knowledge, strong analytical abilities, and zero to two years of relevant experience.

Supports the Mortgage Lending Division by producing and maintaining routine reports, dashboards, data extracts, and ad-hoc analyses. Validates data accuracy, documents reporting procedures, investigates trends and audit issues, and collaborates with business teams to understand performance metrics and reporting needs. The role requires basic Excel and data visualization skills, foundational SQL knowledge, attention to detail, and a willingness to learn internal systems and processes.

Lead the enterprise data warehouse and oversee Power BI dashboards, reporting, data governance, and analytics solutions. Manage and mentor team members, partner with data science teams on predictive modeling and AI outputs, translate business requirements into data solutions, and present actionable insights to clients and stakeholders. The role requires technical leadership across Azure data technologies, client communication, cross-functional collaboration, and occasional travel.