Top Remote Business Intelligence Analyst 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.

Analyzes data from multiple sources to identify trends, develop member segmentation and lifecycle models, support competitive analysis, and recommend strategies for improving member participation and financial products. Builds reports, dashboards, and data-driven tools for leaders and staff, collaborates with stakeholders, trains power users, and provides ongoing analytical support using SQL, R or Python, ETL, data modeling, and business intelligence tools.

Designs, develops, and maintains Power BI reports, dashboards, DAX measures, and semantic models. Ensures data accuracy, metric consistency, report usability, access control, and row-level security. Partners with stakeholders to gather requirements, validate reporting, resolve data discrepancies, and support report rollout and training. Administers Power BI workspaces, apps, refresh schedules, documentation, and usage tracking while exploring AI and automation opportunities.

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 migrate production data models from Alteryx to dbt, manage Dagster or Airflow pipelines in Redshift, and create Tableau insights for Revenue Operations. Partner with business stakeholders to translate data into strategy and ROI. Explore LLMs, predictive analytics, and SageMaker machine learning applications such as churn prediction and lead scoring. Support ABM, customer health scoring, and globally aligned KPI reporting.

Build and maintain dbt data models while migrating workflows from Alteryx, orchestrating pipelines with Dagster or Airflow, and managing Redshift data warehouses. Partner with RevOps stakeholders to translate data into business insights and Tableau dashboards. Explore AI, LLM, predictive analytics, and SageMaker machine learning applications for churn prediction, lead scoring, ABM, and customer health scoring. Ensure data quality, documentation, testing, reliability, and measurable business impact.

Build and maintain production data models while migrating workflows from Alteryx to dbt. Manage Redshift pipelines using Dagster or Airflow, create Tableau dashboards, and translate technical data into business insights for Revenue Operations. Collaborate on AI, predictive analytics, churn prediction, and lead scoring initiatives using LLMs and Amazon SageMaker. Serve as a liaison between data teams and business stakeholders across Sales, Marketing, and Customer Experience.

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.

Build and modernize business intelligence reporting by connecting Snowflake and BigQuery data with BI tools and generative AI APIs. Develop Looker dashboards, automate analysis, detect anomalies, validate data, and deliver actionable insights to Editorial, Sales, Finance, Product, and leadership. Lead data alignment meetings, communicate complex findings clearly, and mentor analytics teams on AI tools, prompt engineering, and database connectors. Monitor live data during major shopping holidays and work EST hours.

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.

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.

Executes daily data processing, dashboard updates, standardized reporting, and campaign analysis. The role compiles data from CRM, advertising, analytics, inventory, and offline sources; maintains trackers and dashboards; produces recurring and ad hoc reports; supports goal pacing and budget allocation insights; follows SOPs and SLAs; documents work in ClickUp; and collaborates with client success, project management, analytics, and technical teams.

Owns end-to-end reconciliation and financial reporting for payment settlements, banking activity, and internal ledger data. Responsibilities include designing SQL-based reports, dashboards, controls, metrics, exception workflows, and automated pipelines; investigating discrepancies and revenue leakage; supporting month-end close, audits, and regulatory reporting; partnering with Engineering, Product, Accounting, Treasury, Tax, and Compliance; and mentoring analysts.

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.

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 enhance trade and commercial reporting solutions using Snowflake, Tableau, and related BI tools. Modernize manual and legacy reporting workflows into automated dashboards and scalable analytical solutions. Translate queries and business rules across data platforms, validate reporting accuracy, investigate discrepancies, document workflows, and partner with commercial and senior stakeholders to deliver actionable insights.

Develop and enhance trade and commercial reporting solutions using Snowflake, Tableau, and related BI platforms. Modernize manual and legacy workflows into automated dashboards, migrate reporting logic across data warehouses, validate data accuracy, investigate discrepancies, document processes, and collaborate with commercial and technical stakeholders to deliver actionable reporting.

Develop dashboards, reporting, and analytics solutions for business teams; monitor performance trends, data quality, risks, and key metrics; investigate complex questions; support A/B testing and instrumentation; and communicate actionable insights to technical and non-technical stakeholders. The role also requires expertise in profit drivers, unit economics, campaign and funnel performance, and the company’s analytics infrastructure.

Supports budgeting, forecasting, financial modeling, variance analysis, and management reporting. Analyzes sales, profitability, pricing, product mix, and operational performance using NetSuite and other data sources. Builds dashboards, validates and reconciles data, documents metrics, and supports Microsoft Fabric and Power BI implementation. Partners with Finance, Sales, Operations, and technical teams to translate business questions into actionable analysis and improve reporting automation.

The Business Intelligence Analyst queries cloud data, builds dashboards and recurring reports, validates data integrity, and delivers actionable insights to business leaders. The role embeds AI tools into reporting, documents data definitions and processes, automates manual work, and partners with FP&A, Business Operations, and Data Engineering. It requires SQL, Excel, BI reporting experience, and practical AI application, with Python, R, Git, and dbt listed as preferred skills.

Lead enterprise BI and analytics solutions for healthcare risk adjustment programs. Build Power BI dashboards, semantic models, KPIs, and executive reporting; develop Databricks and Spark data pipelines; analyze claims, member, provider, RAF, and HCC data; and ensure data quality and governance. Partner with business leaders, automate reporting, support production systems, mentor analysts, and communicate insights to executive audiences.