Top Remote Business Intelligence Analyst Jobs

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.

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.

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.

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.

Owns the reporting and analytics foundation supporting Neptune’s Dollar General partnership. Responsibilities include developing dashboards and recurring reports, analyzing digital incentive and commercial performance, identifying growth opportunities, supporting revenue forecasting and reconciliation, validating data across sources, and translating findings into actionable recommendations for leadership and client stakeholders.

Develop and maintain Power BI dashboards, reports, data models, KPIs, and executive scorecards using SQL and healthcare claims data. Analyze trends, anomalies, savings opportunities, compliance risks, and Payment Integrity performance. Partner with business, compliance, clinical, and technology stakeholders to translate requirements into scalable regulatory and operational analytics solutions. Ensure data quality, governance, and reporting consistency while supporting forecasting, root cause analysis, and AI-enabled analytics initiatives.

Develops Power BI dashboards, reports, and automated workflows for Learning & Development and strategic management. Analyzes learning, workforce, and operational data to identify trends, measure effectiveness, and support business decisions. Partners with stakeholders to define reporting needs, improve processes, and administer learning technology platforms and LMS tools.

Supports executive dashboards, business intelligence reporting, metric definition, process automation, and special projects across go-to-market and global operations. Analyzes performance data, improves reporting accuracy and timeliness, simplifies manual workflows, and collaborates with Finance, HR, Sales, Investor Relations, and Strategy stakeholders. Requires SQL proficiency, Python or R data analysis experience, Tableau familiarity, and strong analytical, communication, and collaboration skills.

Senior Business Intelligence Analyst who develops and governs Power BI dashboards, analyzes clinic performance metrics, ensures reporting accuracy, and translates operational needs into technical requirements. The role manages BI projects end to end, prioritizes analytics tickets, presents insights to executive stakeholders, establishes reporting standards, contributes to data-model requirements, and mentors junior analysts across clinical and corporate operations.

Supports enterprise data governance and business intelligence for NAVSUP by profiling datasets, defining quality rules and business glossaries, validating metadata and lineage, reconciling API data, and tracking remediation. Develops test cases, dashboards, scorecards, reports, documentation, and training materials. Collaborates with data owners, stewards, engineers, and government stakeholders in Agile environments using Informatica, MuleSoft, Axon, Power BI, Azure DevOps, and AWS GovCloud.

Analyzes constellation capacity, customer demand, product usage, revenue, pricing, and operational performance. Maintains and improves Python- and SQL-based workflows and business intelligence datasets, develops quantitative analyses for Product and Sales teams, and translates complex data into actionable recommendations for technical and non-technical stakeholders.

Designs and maintains executive dashboards, reports, semantic models, and automated analytics solutions using Power BI. Defines enterprise KPIs, data standards, and business rules while integrating data from ERP, CRM, manufacturing, SQL, and cloud systems. Partners cross-functionally with senior leaders to deliver insights, improve data quality, support master data management, and enable scalable self-service analytics and data-driven decision-making.

Design and maintain dashboards and reports (primarily Power BI), gather and model data from SIEM, ticketing, CRM and finance systems, perform root-cause and trend analysis, automate reports and pipelines, present insights to stakeholders, support ad-hoc analysis, and ensure data quality and documentation to drive data-informed decisions across MDR, advisory, and incident response offerings.

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.

Designs and maintains BI solutions, writes optimized SQL and stored procedures, and builds AI-assisted reports and dashboards using Power BI, Tableau, and Excel. Translates business questions into actionable insights for Sales and cross-functional teams, develops data models, supports reporting migrations, and ensures data quality, governance, documentation, and consistency across platforms.

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.

Transforms complex retail and consumer data into business-ready datasets, scalable pipelines, reporting solutions, automation, and client deliverables. Designs data integration solutions in Unify, troubleshoots connector issues, explores AI-driven improvements, and partners with Product, Engineering, Client Development, Operations, and business stakeholders to define requirements and deliver scalable solutions.

Lead business intelligence reporting initiatives by gathering requirements, defining dashboard scope, mapping data sources, creating wireframes and specifications, and coordinating data engineering teams. Facilitate workshops, manage reporting backlogs, conduct functional testing and reconciliation, coordinate UAT and defect resolution, and oversee deployment and post-production validation. The role also contributes to data engineering strategy, innovation, executive presentations, and long-term data planning.

Leads enterprise business intelligence and analytics solutions using Power BI and Microsoft Fabric. Designs semantic models, certified datasets, dashboards, DAX calculations, data transformations, security controls, and governed self-service analytics. Assesses and modernizes reporting portfolios, develops predictive and forecasting capabilities, gathers requirements, validates data quality, supports documentation and adoption, and mentors analysts. Collaborates with business, engineering, governance, and security stakeholders to establish scalable enterprise analytics standards.

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.

Develop and optimize Power BI dashboards, reports, data models, and visualizations using DAX and multiple data sources. Translate stakeholder requirements and complex datasets into actionable insights, analyze procurement and operational data, support forecasting and executive reporting, and maintain data accuracy, governance, security, compliance, and documentation.

Develop business intelligence and analytics solutions using financial, operational, RF, and video performance data. Build scalable data models, dashboards, reports, automation workflows, and ETL/ELT processes using Power BI, Tableau, DataMiner, and Qligent. Analyze trends and anomalies, monitor satellite and video delivery performance, translate business requirements into actionable insights, and collaborate with enterprise stakeholders in a fully remote consulting role.

Own and build Power BI reports and client-facing intelligence products within Microsoft Fabric. Develop DAX measures, campaign pacing and budget alerting, monitor contact data health and data delivery pipelines, transition vendor-built platforms in-house, and partner with IT/Data Engineering and cross-functional teams to ensure reliable, actionable reporting for Digital leadership and clients.

Lead complex BI projects to define KPIs, build internal and client-facing Tableau/Power BI dashboards, enforce documentation and metric consistency, perform data analysis and profiling, create BI strategy and roadmaps, mentor junior analysts, and present insights to cross-functional and executive stakeholders.

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