Top Remote Business Intelligence Jobs

Own Power BI datasets, semantic models, DAX measures, and dashboards end to end. Trace and troubleshoot data flows through Azure Data Factory, Microsoft Fabric, and Power BI while ensuring reporting accuracy. Partner with stakeholders to define requirements, document reporting logic, and expand self-service analytics. Use and validate AI tools for queries, DAX, documentation, and reporting automation. Develop broader Customer Operations systems knowledge over time.

The Data and BI Manager leads reporting and analytics design, development, implementation, and infrastructure management. Responsibilities include maintaining dashboards and data warehouses, scaling reporting performance, guiding deployment, auditing financial data accuracy, and supervising related activities. The role requires advanced SQL, BI expertise, data programming knowledge, communication skills, and systems leadership experience.

Leads Duck Creek Technologies’ Intelligence function, overseeing analytics engineering, business intelligence, reporting, dashboards, metrics, and insight generation. Builds scalable analytics platforms and governance standards, partners with product, AI, engineering, and business leaders, and translates complex data into actionable recommendations. Manages analytics teams and advances enterprise data-driven decision-making, operational performance, and product development.

Create client-facing analyses and reusable data products for Product, Analytics, Client Success, and Sales teams. Analyze large healthcare datasets to identify behavioral patterns among medical professionals, automate code, and communicate insights to technical and non-technical stakeholders. The role combines SQL, Python-based exploratory data analysis, data visualization, stakeholder collaboration, and opportunities to grow into presentation-focused or advanced technical work.

Build and maintain production data models while migrating workflows from Alteryx to dbt. Manage Redshift pipelines with Dagster or Airflow, create Tableau dashboards, and translate technical data into business insights for Revenue Operations. Explore AI, LLMs, predictive analytics, and SageMaker use cases such as churn prediction and lead scoring. Collaborate with Sales, Marketing, Customer Experience, Product, and Engineering stakeholders.

Owns Power BI reporting and analytics for Digital, including internal dashboards, campaign pacing, client-facing intelligence products, contact data health, and data delivery monitoring. Builds DAX reporting logic, automated alerts, budget tracking, segmentation, benchmarking, and trend analysis. Partners with IT, Data Engineering, CRM, and audience teams while transitioning an externally developed platform in-house. Serves as the senior reporting subject matter expert for stakeholder and client-facing analytics.

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.

Develop and manage enterprise Power BI dashboards, semantic models, data integrations, and automated reporting for global commercial operations. Analyze Salesforce and other business data using SQL and Python, support sales performance, territories, forecasting, compensation, and executive decision-making. Own reporting reliability, data quality, governance, troubleshooting, and documentation while partnering with Sales, Finance, Marketing, IT, and commercial leadership.

Develops and maintains Power BI reports, dashboards, semantic models, SQL datasets, and production reporting pipelines. Manages Azure Data Factory pipelines and Databricks notebooks, validates data accuracy, troubleshoots reporting issues, and supports scheduled client deliverables. Collaborates with software engineers, product owners, and account management in an Agile/Scrum environment. Documents BI practices, data definitions, and runbooks while applying dimensional modeling, DAX, Power Query, and AI-assisted development practices.

Designs and maintains BI tools, dashboards, reports, and data warehouse architecture. Ensures data accuracy, governance, and readiness for analysis while delivering actionable insights to stakeholders and executives. Collaborates across marketing, finance, supply chain, audit, and IT; supports training and adoption of BI resources; and identifies opportunities for AI, automation, natural language querying, and intelligent alerts.

The Business Intelligence Engineer manages enterprise data sources, supports data quality and governance, and translates transactional data into KPIs for business teams. Responsibilities include guiding analyst teams, handling data inquiries, supporting advanced analytics, monitoring data performance, defining data requirements with stakeholders, and presenting findings to technical and non-technical audiences. The role requires SQL, Tableau, relational database, and data modeling or analytics expertise.

Designs and enhances business intelligence architecture, processes, standards, and analytics solutions. Partners with business and technology stakeholders to translate data needs into scalable solutions, solve complex business problems, establish testing and data quality controls, develop governance standards, and provide technical guidance. The role focuses on large healthcare datasets and supports strategic decision-making through business intelligence.

Designs, develops, and maintains Power BI dashboards, reports, visualizations, and data models. Translates stakeholder requirements into technical solutions, integrates diverse data sources, optimizes queries and report performance, ensures data accuracy and access controls, and uses AI tools such as ChatGPT to improve development efficiency. The role also documents solutions, trains users, supports data governance and analytics best practices, and communicates insights clearly to technical and non-technical stakeholders.

Analyzes tolling, bypass, device, and customer data to produce actionable business insights. Builds and maintains Power BI reports, dashboards, semantic models, and DAX measures; validates data quality, troubleshoots refresh issues, and documents reporting assets. Responds to stakeholder requests, gathers requirements, explains findings, and improves BI workflows. Uses AI-assisted analytics tools while validating outputs for accuracy and policy compliance.

Owns end-to-end delivery of business intelligence reporting and analytics solutions. Responsibilities include requirements gathering, business process analysis, KPI development, dashboard and report creation, data quality validation, UAT planning and coordination, stakeholder liaison, reporting lifecycle management, and continuous improvement. The role uses Power BI and Microsoft tools to support executive decision-making, optimize reporting processes, improve data integrity, and promote adoption of analytics capabilities across the organization.

Leads end-to-end delivery of business intelligence reporting and analytics solutions. Gathers requirements, develops BRDs, defines KPIs, analyzes data, creates executive dashboards in Power BI, validates data quality, coordinates UAT, manages defects, and supports deployment and adoption. Partners with stakeholders, enterprise applications, data engineers, and BI developers to improve reporting, standardize processes, and deliver actionable insights.

Build and maintain data pipelines, SQL queries, data models, database structures, and centralized data warehouse capabilities. Clean and validate data, develop reporting datasets and solutions, support KPI tracking and historical analysis, and collaborate with Finance and Revenue Operations. Investigate data gaps, troubleshoot integrations, and independently deliver reliable technical solutions.

Develops, validates, documents, deploys, and maintains Amazon QuickSight dashboards in a secure CMS environment. Translates stakeholder requirements into interactive visualizations, performs SQL-based ETL and data-quality validation, supports Tableau analytics, manages UAT and dashboard lifecycles, troubleshoots technical issues, and documents data workflows. The role collaborates with analysts, data scientists, CMS stakeholders, QIO staff, and other teams while supporting healthcare and regulated data initiatives.

Own end-to-end reconciliation and financial reporting across card networks, processors, banks, and internal ledger data. Build SQL-based reports, dashboards, exception queues, metrics, and automated controls; investigate discrepancies and root causes; improve data pipelines and processes; support month-end close, audits, and regulatory reporting; and partner with Engineering, Product, Accounting, Treasury, Tax, and Compliance. Mentor analysts and guide responsible AI use.

Senior Business Intelligence Analyst responsible for campaign KPI development, forecasting, data integration, dashboard creation, performance analysis, and optimization recommendations. The role manages and troubleshoots the agency’s data stack, including Improvado, Snowflake, and Tableau, while partnering with media, advertising, and communications teams. Requires strong SQL, Python, R, spreadsheet, analytics, database, and data-cleaning expertise. This is a remote, four-month W2 contract requiring PST availability.

Transforms business questions, freight market data, and external signals into strategic insights. Builds dashboards, KPIs, forecasting models, predictive analytics, and scalable self-service tools using SQL, BI platforms, cloud data platforms, and scripting languages. Integrates market intelligence and generative AI, validates analytical outputs, and communicates recommendations through executive-ready narratives and visualizations to support commercial strategy, forecasting, and operational performance.

Supports the development and maintenance of Qlik dashboards, reports, and data visualizations. Performs data analysis, validates reporting outputs, identifies trends and anomalies, translates business requirements into reporting solutions, troubleshoots data issues, and helps maintain metrics and KPIs. Collaborates with business stakeholders and develops knowledge of organizational data sources, business intelligence practices, and data governance standards.

Leads Cisco’s Americas Business Intelligence and Analytics organization supporting Sales Strategy, Planning, and Operations. Sets vision and roadmaps, manages analysts, AI engineers, and data scientists, modernizes analytics, drives automation, develops enterprise dashboards and data models, and advises executive leadership. Partners cross-functionally to translate business needs into actionable insights while leveraging AI, visualization, and sales systems to improve field performance.

Collects and analyzes large datasets, develops data models, reports, and dashboards using BI tools, identifies trends, defines KPIs, and presents actionable insights. The role partners with cross-functional stakeholders to translate business needs into data requirements and support data-informed decision-making. Requires SQL, data visualization, ETL, and data warehousing knowledge, with Python or R familiarity preferred. This is a remote role requiring the ability to obtain Public Trust.

Develop and maintain Power BI dashboards, reports, DAX measures, KPIs, and dimensional data models for insurance stakeholders. Write complex SQL for data extraction, transformation, reconciliation, and analysis. Investigate data-quality issues, validate reporting accuracy, optimize performance, and translate insurance business requirements into actionable analytics solutions. Collaborate with engineering, business, and analytics teams across multiple data sources.