Top Remote Business Intelligence Analyst Jobs

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.

Collects and analyzes business data, develops dashboards and reports, monitors KPIs, identifies trends, verifies data accuracy, and provides insights to support forecasting, planning, and informed decision-making. Collaborates with departments and technical teams to understand reporting needs, improve data processes, communicate findings clearly, and recommend business improvements.

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.

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.

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.

Deliver strategic reporting and insights to executives and the Board; develop and track KPIs; build dashboards and visuals; perform ad hoc and project-based analyses; support forecasting, financial modeling, and data stewardship across the organization.

Supports the Product Innovation Team by modifying and optimizing SQL queries, visualizing data with BI tools, identifying insights, and analyzing enhancements. Participates in coding, testing, documentation, and discussions while providing customer service and managing multiple tasks. The internship requires at least 30 hours per week and emphasizes advanced Excel and visualization skills, plus familiarity with Python and SQL.

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.

Build and maintain production-grade data models while migrating workflows from Alteryx to dbt. Manage Dagster or Airflow pipelines in Redshift, create Tableau dashboards, and translate technical data into RevOps insights. Partner with Sales, Marketing, and Customer Experience leaders on KPI reporting, ABM, and customer health scoring. Explore AI, LLM, predictive analytics, and SageMaker machine learning applications including churn prediction and lead scoring.

Build and maintain dbt data models, migrate Alteryx workflows, and manage Dagster or Airflow pipelines in Redshift. Partner with Revenue Operations stakeholders to translate data into business insights, dashboards, and KPI visibility using Tableau. Apply AI, LLMs, and machine learning through SageMaker to support predictive use cases such as churn prediction and lead scoring.

Build and maintain dbt data models while migrating workflows from Alteryx, managing Dagster or Airflow pipelines, and supporting Redshift analytics. Partner with RevOps stakeholders to translate data into business insights, dashboards, KPIs, ABM initiatives, and customer health scoring. Explore LLMs, predictive analytics, and SageMaker machine learning for use cases such as churn prediction and lead scoring.

Build and migrate production data models from Alteryx to dbt, manage Redshift pipelines with Dagster or Airflow, and deliver stakeholder-facing Tableau insights for Revenue Operations. Translate technical data into business impact while supporting ABM, customer health scoring, predictive analytics, churn prediction, lead scoring, and AI/LLM initiatives using machine learning and Amazon SageMaker.

Analyzes business and customer requirements to define metrics, measurement frameworks, and scalable Tableau dashboards. Partners with stakeholders across life sciences, healthcare, and sales organizations to deliver consistent, data-driven insights. Documents BI standards, ensures metric accuracy and security compliance, demonstrates expertise in relevant data sources, and manages dashboard requests through a Jira backlog while meeting delivery timelines.

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.

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.